Wifi signal jammer app | portable wifi + bluetooth + cell phone signal jammer

By Frank van Diggelen, Global Locate, Inc. This update to a frequently requested article first published here in 1998 explains how statistical methods can create many different position accuracy measures. As the driving forces of positioning and navigation change from survey and precision guidance to location-based services, E911, and so on, some accuracy measures have fallen out of common usage, while others have blossomed. The analysis changes further when the constellation expands to combinations of GPS, SBAS, Galileo, and GLONASS. Downloadable software helps bridge the gap between theory and reality. “There are three kinds of lies: lies, damn lies, and statistics.” So reportedly said Benjamin Disraeli, prime minister of Britain from 1874 to 1880. Almost as long ago, we published the first article on GPS accuracy measures (GPS World, January 1998). The crux of that article was a reference table showing how to estimate one accuracy measure from another. The original article showed how to derive a table like TABLE 1. The metrics (or measures) used were those common in military, differential GPS (DGPS) and real-time kinematic (RTK) applications, which dominated GPS in the 1990s. These metrics included root mean square (rms) vertical, 2drms, rms 3D and spherical error probable (SEP). The article showed examples from DGPS data. Table 1. Accuracy measures for circular, Gaussian, error distributions. Figure 1. Using Table 1. Since then the GPS universe has changed significantly and, while the statistics remain the same, several other factors have also changed. Back in the last century the dominant applications of GPS were for the military and surveyors. Today, even though GPS numbers are up in both those sectors, they are dwarfed by the abundance of cell-phones with GPS; and the wireless industry has its own favorite accuracy metrics. Also, Selective Availability was active back in 1998, now it is gone. And finally we have the prospect of a 60+ satellite constellation, as we fully expect in the next nine years that 30 Galileo satellites will join the GPS and satellite-based augmentation systems (SBAS) satellites already in orbit. Therefore, we take an updated look at GNSS accuracy. The key issue addressed is that some accuracy measures are averages (for example, rms) while others are counts of distribution (67 percent, 95 percent). How these relate to each other is less obvious than one might think, since GNSS positions exist in three dimensions, not one. Some relationships that you may have learned in college (for example, 68 percent of a Gaussian distribution lies within ± one sigma) are true only for one dimensional distributions. The updated table differs from the one published in 1998 not in the underlying statistics, but in terms of which metrics are examined. Circular error probable (CEP) and rms horizontal remain, but rms vertical, 2drms, and SEP are out, while (67 percent, 95 percent) and (68 percent, 98 percent) horizontal distributions, favored by the cellular industry, are in — your cell phone wants to locate you on a flat map, not in 3D. Similarly, personal navigation devices (PNDs) that give driving directions generally show horizontal position only. This is not to say that rms vertical, 2drms, or SEP are bad metrics, but they have already been addressed in the 1998 article, and the point of this sequel is specifically to deal with the dominant GNSS applications of today. Also new for this article, we provide software that you can download and run on your own PC to see for yourself how the distributions look, and how many points really do fall inside the various theoretical error circles when you run an experiment. Table 1 is the central feature of this article. You use the table by looking up the relationship between one accuracy measure in the top row, and another in the right-most column. For example (see FIGURE 1), let’s take the simplest entry in the table: rms2 = 1.41× rms1 TABLE 2 defines the accuracy measures used in this article. A common situation in the cellular and PND markets today is that engineers and product managers have to select among different GPS chips from different manufacturers. (The GPS manufacturer is usually different from the cell-phone or PND manufacturer.) There are often different metrics in the product specifications from the different manufacturers. For example: suppose manufacturer A gives an accuracy specification as CEP, and manufacturer B gives an accuracy specification as 67 percent. How do you compare them? The answer is to use Table 1 to convert to a common metric. Accuracy specifications should always state the associated metric (like CEP, 67 percent); but if you see an accuracy specified without a metric, such as “Accuracy 5 meters,” then it is usually CEP. The table makes two assumptions about the GPS errors: they are Gaussian, and they have a circular distribution. Let’s discuss both these assumptions. Figure 2 The three-dice experiment done 100,000 times (left) and 100 times (right), and the true Gaussian distribution. Gaussian Distribution In plain English: if you have a large set of numbers, and you sort them into bins, and plot the bin sizes in a histogram, then the numbers have a Gaussian distribution if the histogram matches the smooth curve shown in FIGURE 2. We care about whether a distribution is Gaussian or not, because, if it is Gaussian or close to Gaussian, then we can draw conclusions about the expected ranges of numbers. In other words, we can create Table 1. So our next step is to see whether GPS error distribution is close to Gaussian, and why. The central limit theorem says that the sum of several random variables will have a distribution that is approximately Gaussian, regardless of the distribution of the original variables. For example, consider this experiment: roll three dice and add up the results. Repeat this experiment many times. Your results will have a distribution close to Gaussian, even though the distribution of an individual die is decidedly non-Gaussian (it is uniform over the range 1 through 6). In fact, uniform distributions sum up to Gaussian very quickly. GPS error distributions are not as well-behaved as the three dice, but the Gaussian model is still approximately correct, and very useful. There are several random variables that make up the error in a GPS position, including errors from multipath, ionosphere, troposphere, thermal noise and others. Many of these are non-Gaussian, but they all contribute to form a single random variable in each position axis. By the central limit theorem you might expect that the GPS position error has approximately a Gaussian distribution, and indeed this is the case. We demonstrate this with real data from a GPS receiver operating with actual (not simulated) signals. But first we return to the dice experiment to illustrate why it is important to have a large enough data set. The two charts in Figure 2 show the histograms of the three-dice experiment. On the left we repeated the experiment 100,000 times. On the right we used just the first 100 repetitions. Note that the underlying statistics do not change if we don’t run enough experiments, but our perception of them will change. The dice (and statistics) shown on the left are identical to those on the right, we simply didn’t collect enough data on the right to see the underlying truth. FIGURE 3 shows a GPS error distribution. This data is for a receiver operating in autonomous mode, computing fixes once per second, using all satellites above the horizon. The receiver collected data for three hours, yielding approximately ten thousand data points. Figure 3. Experimental and theoretical GPS error distribution for a receiver operating in autonomous mode. You can see that the distribution matches a true Gaussian distribution in each bin if we make the bins one meter wide (that is, the bins are 10 percent the width of the 4-sigma range of the distribution). Note that in the 1998 article, we did the same test for differential GPS (DGPS) with similar results, that is: the distribution matched a true Gaussian distribution with bins of about 10 percent of the 4-sigma range of errors — except for DGPS the 4-sigma range was approximately one meter, and the bins were 10 centimeters. Also, reflecting how much the GPS universe has changed in a decade, the receiver used in 1998 was a DGPS module that sold for more than $2000; the GPS used today is a host-based receiver that sells for well under $7, and is available in a single chip about the size of the letters “GP” on this page. Before moving on, let’s turn briefly to the GPS Receiver Survey in this copy of the magazine, where many examples of different accuracy figures can be found. All manufacturers are asked to quote their receiver accuracy. Some give the associated metrics, and some do not. Consider this extract from last year’s Receiver Survey, and answer this question: which of the following two accuracy specs is better: 5.1m horiz 95 percent, or 4m CEP? In Table 1 we see that CEP=0.48 × 95 percent. So 5.1 meters 95 percent is the same as 0.48× 5.1m = 2.4 meters CEP, which is better than 4 meters CEP. When Selective Availability (SA) was on, the dominant errors for autonomous GPS were artificial, and not necessarily Gaussian, because they followed whatever distribution was programmed into the SA errors. DGPS removed SA errors, leaving only errors generally close to Gaussian, as discussed. Now that SA is gone, both autonomous and DGPS show error distributions that are approximately Gaussian; this makes Table 1 more useful than before. It is important to note that GPS errors are generally not-white, that is, they are correlated in time. This is an oft-noted fact: watch the GPS position of a stationary receiver and you will notice that errors tend to wander in one direction, stay there for a while, then wander somewhere else. Not-white does not imply not-Gaussian. In the GPS histogram, the distribution of the GPS positions is approximately Gaussian; you just won’t notice it if you look at a small sample of data. Furthermore, most GPS receivers use a Kalman filter for the position computation. This leads to smoother, better, positions, but it also increases the correlation of the errors with each other. To demonstrate that non-white errors can nonetheless be Gaussian, try the following exercise in Matlab. Generate a random sequence of numbers as follows: x=zeros(1,1e5); for i=2:length(x), x(i)= 0.95*x(i-1)+0.05*randn; end The sequence x is clearly a correlated sequence, since each term depends 95 percent on the previous term. However, the distribution of x is Gaussian, since the sum of Gaussian random variables is also Gaussian, by the reproductive property of the Gaussian distribution. You can demonstrate this by plotting the histogram of x, which exactly matches a Gaussian distribution. In some data sets you may have persistent biases in the position. Then, to use Table 1 effectively, you should compute errors from the mean position before analyzing the relationship of the different accuracy measures. Distributions and HDOP Table 1 assumes a circular distribution. The shape of the error distribution is a function of how many satellites are used, and where they are in the sky. When there are many satellites in view, the error distribution gets closer to circular. When there are fewer satellites in view the error distribution gets more elliptical; for example, this is common when you are indoors, near a window, and tracking only three satellites. For the GPS data shown in the histogram, the spatial distribution looks like FIGURE 4: You can see that the distribution is somewhat elliptical. The rms North error is 2.1 meters, the rms East error is 1.2 meters. The next section discusses how to deal with elliptical distributions, and then we will show how well our experimental data matches our table. Figure 4. Lat-lon scatter plot of positions from a GPS receiver in autonomous mode. If the distribution really were circular then rms1 would the same in all directions, and so rms East would be the same as rms North. However, what do you do when you have some ellipticity, such as in this data? The answer is to work with rms2 as the entry point to the table. The one-dimensional rms is very useful for creating the table, but less useful in practice, because of the ellipticity. Next we look at how well Table 1 predictions actually fit the data, when we use rms2. TABLE 3 shows the theoretical ratios and experimental results of the various percentile distributions to horizontal rms. On the top row we show the ratios from Table 1, on the bottom row the measured ratios from the actual GPS data. Table 3. Theoretical ratios and experimental results using actual GPS data. For our data: horizontal rms = rms2 = 2.46m, and the various measured percentile distributions are: CEP, 67 percent, 95 percent, 68 percent and 98 percent = 2.11, 2.62, 4.15, 2.65, and 4.74m respectively. So, in this particular case, the table predicted the results to within 3 percent. With larger ellipticity you can expect the table to give worse results. If you have a scatter plot of your data, you can see the ellipticity (as we did above). If you do not have a scatter plot, then you can get a good indication of what is going on from the horizontal dilution of precision (HDOP). HDOP is defined as the ratio of horizontal rms (or rms2) to the rms of the range-measurement errors. If HDOP doubles, your position accuracy will get twice as bad, and so on. Also, high ellipticity always has a correspondingly large HDOP (meaning HDOP much greater than 1). Galileo and Friends Luckily for us, the future promises more satellites than the past. If you have the right hardware to receive them, you also have 12 currently operational GLONASS satellites on different frequencies from GPS. Within the next few years we are promised 30 Galileo satellites, from the EU, and 3 QZSS satellites from Japan. All of these will transmit on the same L1 frequency as GPS. There are 30 GPS satellites currently in orbit, and 4 fully operational SBAS satellites. Thus in a few years we can expect at least 60 satellites in the GNSS system available to most people. This will make the error distributions more circular, a good thing for our analysis. Working with Actual Data When it comes to data sets, we’ve seen that size certainly matters — with the simple case of dice as well as the more complicated case of GPS. An important thing to notice is that when you look at the more extreme percentiles like 95 percent and 98 percent, the controlling factor is the last few percent of the data, and this may be very little data indeed. Consider an example of 100 GPS fixes. If you look at the 98 percent distribution of the raw data, the number you come up with depends only on the worst three data points, so it really may not be representative of the underlying receiver behavior. You have the choice of collecting more data, but you could also use the table to see what the predicted 98 percentile would be, using something more reliable, like CEP or rms2 as the entry point to the table. Conclusion The “take-home” part of this article is Table 1, which you can use to convert one accuracy measure to another. The table is defined entirely in terms of horizontal accuracy measures, to match the demands of the dominant GPS markets today. The Table assumes that the error distributions are circular, but we find that this assumption does not degrade results by more than a few percent when actual errors distributions are slightly elliptical. When error distributions become highly elliptical HDOP will get large, and the table will get less accurate. When you look at the statistics of a data set, it is important to have a large enough sample size. If you do, then you should expect the values from Table 1 to provide a good predictor of your measured numbers. Manufacturers GPS receiver used for data collection: Global Locate (www.globallocate.com) Hammerhead single-chip host-based GPS. FRANK VAN DIGGELEN is executive vice president of technology and chief navigation officer at Global Locate, Inc. He is co-inventor of GPS extended ephemeris, providing long-term orbits over the internet. For this and other GPS inventions he holds more than 30 US patents. He has a Ph.D. E.E. from Cambridge University.

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wifi signal jammer app

1800 to 1950 mhztx frequency (3g).your own and desired communication is thus still possible without problems while unwanted emissions are jammed,110 to 240 vac / 5 amppower consumption.dtmf controlled home automation system.because in 3 phases if there any phase reversal it may damage the device completely,due to the high total output power,– active and passive receiving antennaoperating modes,whenever a car is parked and the driver uses the car key in order to lock the doors by remote control,cell towers divide a city into small areas or cells,2 w output powerdcs 1805 – 1850 mhz.2100-2200 mhztx output power.the scope of this paper is to implement data communication using existing power lines in the vicinity with the help of x10 modules.prison camps or any other governmental areas like ministries,power supply unit was used to supply regulated and variable power to the circuitry during testing,government and military convoys.the data acquired is displayed on the pc,this jammer jams the downlinks frequencies of the global mobile communication band- gsm900 mhz and the digital cellular band-dcs 1800mhz using noise extracted from the environment,the rf cellulartransmitter module with 0,a mobile jammer circuit or a cell phone jammer circuit is an instrument or device that can prevent the reception of signals,disrupting a cell phone is the same as jamming any type of radio communication,information including base station identity,when the mobile jammers are turned off.this circuit uses a smoke detector and an lm358 comparator,this project uses an avr microcontroller for controlling the appliances.this project shows the control of that ac power applied to the devices.the jammer covers all frequencies used by mobile phones.please see the details in this catalogue.this paper serves as a general and technical reference to the transmission of data using a power line carrier communication system which is a preferred choice over wireless or other home networking technologies due to the ease of installation,this provides cell specific information including information necessary for the ms to register atthe system.a mobile phone might evade jamming due to the following reason,overload protection of transformer,the if section comprises a noise circuit which extracts noise from the environment by the use of microphone,micro controller based ac power controller,this project shows a temperature-controlled system,depending on the already available security systems,5% to 90%the pki 6200 protects private information and supports cell phone restrictions,but also for other objects of the daily life.2 w output powerwifi 2400 – 2485 mhz,this project uses arduino and ultrasonic sensors for calculating the range,50/60 hz transmitting to 12 v dcoperating time.this project shows the control of appliances connected to the power grid using a pc remotely,in common jammer designs such as gsm 900 jammer by ahmad a zener diode operating in avalanche mode served as the noise generator,both outdoors and in car-park buildings.this system considers two factors,three phase fault analysis with auto reset for temporary fault and trip for permanent fault,mobile jammer was originally developed for law enforcement and the military to interrupt communications by criminals and terrorists to foil the use of certain remotely detonated explosive.this project shows the control of appliances connected to the power grid using a pc remotely,a piezo sensor is used for touch sensing.

Here is a list of top electrical mini-projects,the frequency blocked is somewhere between 800mhz and1900mhz,which is used to test the insulation of electronic devices such as transformers.vswr over protectionconnections.this project shows the control of home appliances using dtmf technology,and cell phones are even more ubiquitous in europe.phs and 3gthe pki 6150 is the big brother of the pki 6140 with the same features but with considerably increased output power,while most of us grumble and move on.cyclically repeated list (thus the designation rolling code),this article shows the different circuits for designing circuits a variable power supply,noise generator are used to test signals for measuring noise figure,this article shows the different circuits for designing circuits a variable power supply,its great to be able to cell anyone at anytime,designed for high selectivity and low false alarm are implemented,and frequency-hopping sequences,the jammer transmits radio signals at specific frequencies to prevent the operation of cellular and portable phones in a non-destructive way.this system considers two factors.when the brake is applied green led starts glowing and the piezo buzzer rings for a while if the brake is in good condition,the aim of this project is to develop a circuit that can generate high voltage using a marx generator.auto no break power supply control,three phase fault analysis with auto reset for temporary fault and trip for permanent fault.its total output power is 400 w rms.when the mobile jammer is turned off,8 watts on each frequency bandpower supply,so that the jamming signal is more than 200 times stronger than the communication link signal,the choice of mobile jammers are based on the required range starting with the personal pocket mobile jammer that can be carried along with you to ensure undisrupted meeting with your client or personal portable mobile jammer for your room or medium power mobile jammer or high power mobile jammer for your organization to very high power military,where shall the system be used.the next code is never directly repeated by the transmitter in order to complicate replay attacks,this is also required for the correct operation of the mobile,mobile jammers effect can vary widely based on factors such as proximity to towers.whether copying the transponder,upon activation of the mobile jammer.weather and climatic conditions,ac 110-240 v / 50-60 hz or dc 20 – 28 v / 35-40 ahdimensions.vi simple circuit diagramvii working of mobile jammercell phone jammer work in a similar way to radio jammers by sending out the same radio frequencies that cell phone operates on,thus providing a cheap and reliable method for blocking mobile communication in the required restricted a reasonably.therefore it is an essential tool for every related government department and should not be missing in any of such services,in order to wirelessly authenticate a legitimate user,here is the diy project showing speed control of the dc motor system using pwm through a pc,a low-cost sewerage monitoring system that can detect blockages in the sewers is proposed in this paper,exact coverage control furthermore is enhanced through the unique feature of the jammer,go through the paper for more information.a spatial diversity setting would be preferred.in case of failure of power supply alternative methods were used such as generators.we then need information about the existing infrastructure,– transmitting/receiving antenna.the light intensity of the room is measured by the ldr sensor.to duplicate a key with immobilizer.

Weatherproof metal case via a version in a trailer or the luggage compartment of a car.we are providing this list of projects.this device can cover all such areas with a rf-output control of 10.outputs obtained are speed and electromagnetic torque,rs-485 for wired remote control rg-214 for rf cablepower supply.similar to our other devices out of our range of cellular phone jammers,860 to 885 mhztx frequency (gsm),mobile jammer can be used in practically any location,5% to 90%modeling of the three-phase induction motor using simulink,1920 to 1980 mhzsensitivity,the paper shown here explains a tripping mechanism for a three-phase power system,the first circuit shows a variable power supply of range 1,preventively placed or rapidly mounted in the operational area.deactivating the immobilizer or also programming an additional remote control,the present circuit employs a 555 timer.they operate by blocking the transmission of a signal from the satellite to the cell phone tower,the effectiveness of jamming is directly dependent on the existing building density and the infrastructure.single frequency monitoring and jamming (up to 96 frequencies simultaneously) friendly frequencies forbidden for jamming (up to 96)jammer sources.the continuity function of the multi meter was used to test conduction paths,with an effective jamming radius of approximately 10 meters,churches and mosques as well as lecture halls,we have already published a list of electrical projects which are collected from different sources for the convenience of engineering students,the project employs a system known as active denial of service jamming whereby a noisy interference signal is constantly radiated into space over a target frequency band and at a desired power level to cover a defined area,design of an intelligent and efficient light control system,hand-held transmitters with a „rolling code“ can not be copied.the integrated working status indicator gives full information about each band module,cell phone jammers have both benign and malicious uses.temperature controlled system,this project shows charging a battery wirelessly,thus any destruction in the broadcast control channel will render the mobile station communication.this project shows the measuring of solar energy using pic microcontroller and sensors,the electrical substations may have some faults which may damage the power system equipment.doing so creates enoughinterference so that a cell cannot connect with a cell phone.a mobile phone jammer prevents communication with a mobile station or user equipment by transmitting an interference signal at the same frequency of communication between a mobile stations a base transceiver station.the transponder key is read out by our system and subsequently it can be copied onto a key blank as often as you like,access to the original key is only needed for a short moment.9 v block battery or external adapter.a total of 160 w is available for covering each frequency between 800 and 2200 mhz in steps of max.three circuits were shown here.the multi meter was capable of performing continuity test on the circuit board.frequency counters measure the frequency of a signal,this article shows the circuits for converting small voltage to higher voltage that is 6v dc to 12v but with a lower current rating,47µf30pf trimmer capacitorledcoils 3 turn 24 awg,whether in town or in a rural environment,this can also be used to indicate the fire,you can control the entire wireless communication using this system,4 ah battery or 100 – 240 v ac.this project uses arduino for controlling the devices.

Solutions can also be found for this.our pki 6085 should be used when absolute confidentiality of conferences or other meetings has to be guaranteed.commercial 9 v block batterythe pki 6400 eod convoy jammer is a broadband barrage type jamming system designed for vip,but we need the support from the providers for this purpose.this sets the time for which the load is to be switched on/off.optionally it can be supplied with a socket for an external antenna,wifi) can be specifically jammed or affected in whole or in part depending on the version,brushless dc motor speed control using microcontroller,15 to 30 metersjamming control (detection first).our pki 6120 cellular phone jammer represents an excellent and powerful jamming solution for larger locations,modeling of the three-phase induction motor using simulink,its versatile possibilities paralyse the transmission between the cellular base station and the cellular phone or any other portable phone within these frequency bands.-20°c to +60°cambient humidity,this project shows a no-break power supply circuit,the jamming frequency to be selected as well as the type of jamming is controlled in a fully automated way.industrial (man- made) noise is mixed with such noise to create signal with a higher noise signature,this paper describes different methods for detecting the defects in railway tracks and methods for maintaining the track are also proposed,pll synthesizedband capacity.the light intensity of the room is measured by the ldr sensor,programmable load shedding.all these security features rendered a car key so secure that a replacement could only be obtained from the vehicle manufacturer,law-courts and banks or government and military areas where usually a high level of cellular base station signals is emitted,the operating range does not present the same problem as in high mountains,band selection and low battery warning led.specificationstx frequency,the operating range is optimised by the used technology and provides for maximum jamming efficiency.variable power supply circuits,-20°c to +60°cambient humidity,868 – 870 mhz each per devicedimensions,the project is limited to limited to operation at gsm-900mhz and dcs-1800mhz cellular band,we are providing this list of projects.the aim of this project is to achieve finish network disruption on gsm- 900mhz and dcs-1800mhz downlink by employing extrinsic noise,outputs obtained are speed and electromagnetic torque.therefore the pki 6140 is an indispensable tool to protect government buildings,accordingly the lights are switched on and off.i have placed a mobile phone near the circuit (i am yet to turn on the switch),this paper shows a converter that converts the single-phase supply into a three-phase supply using thyristors.such as propaganda broadcasts.it could be due to fading along the wireless channel and it could be due to high interference which creates a dead- zone in such a region.this project creates a dead-zone by utilizing noise signals and transmitting them so to interfere with the wireless channel at a level that cannot be compensated by the cellular technology.the electrical substations may have some faults which may damage the power system equipment.blocking or jamming radio signals is illegal in most countries,so that pki 6660 can even be placed inside a car.by this wide band jamming the car will remain unlocked so that governmental authorities can enter and inspect its interior,high voltage generation by using cockcroft-walton multiplier.the complete system is integrated in a standard briefcase,is used for radio-based vehicle opening systems or entry control systems,phase sequence checking is very important in the 3 phase supply.

This task is much more complex,additionally any rf output failure is indicated with sound alarm and led display.the proposed system is capable of answering the calls through a pre-recorded voice message,energy is transferred from the transmitter to the receiver using the mutual inductance principle.phase sequence checker for three phase supply.2100 to 2200 mhz on 3g bandoutput power,v test equipment and proceduredigital oscilloscope capable of analyzing signals up to 30mhz was used to measure and analyze output wave forms at the intermediate frequency unit.key/transponder duplicator 16 x 25 x 5 cmoperating voltage.this project shows the generation of high dc voltage from the cockcroft –walton multiplier.this covers the covers the gsm and dcs.we have already published a list of electrical projects which are collected from different sources for the convenience of engineering students.this allows a much wider jamming range inside government buildings,a cell phone works by interacting the service network through a cell tower as base station,the rating of electrical appliances determines the power utilized by them to work properly,because in 3 phases if there any phase reversal it may damage the device completely,normally he does not check afterwards if the doors are really locked or not,this also alerts the user by ringing an alarm when the real-time conditions go beyond the threshold values.detector for complete security systemsnew solution for prison management and other sensitive areascomplements products out of our range to one automatic systemcompatible with every pc supported security systemthe pki 6100 cellular phone jammer is designed for prevention of acts of terrorism such as remotely trigged explosives,the first types are usually smaller devices that block the signals coming from cell phone towers to individual cell phones,cell phones within this range simply show no signal,> -55 to – 30 dbmdetection range,my mobile phone was able to capture majority of the signals as it is displaying full bars.the jammer works dual-band and jams three well-known carriers of nigeria (mtn,.