How to Build a GPS Jammer at Your Home
Here’s a step by step guide on how to build your own GPS jammer. Below are the main steps we are going to introduce in
27 November 2023
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Mobile signal blockers are devices used to block or interfere with mobile phone signals in certain areas. During the installation and debugging process of these blockers, it is crucial to determine whether all mobile signals are completely blocked and the effective range of signal coverage. However, in some cases, certain mobile signals may still be able to make or receive calls, browse the internet, or transmit data even when the blocking device is in interference mode and the phone is in close proximity to the blocker. This article explores methods to analyze and identify the sources of these missed signals.
Analyzing Missed Signals:
In situations where professional technical personnel from the mobile signal blocker manufacturer are present, they usually carry portable spectrum analyzers. By observing the spectrum waveforms of various mobile frequency bands using these analyzers, the technical personnel can preliminarily identify the specific frequency band where the missed signal occurs. However, there are exceptions to this method. For instance, if the signal strength of the base station is only slightly higher than that of the signal blocker, it becomes difficult to distinguish the frequency band with the missed signal from the waveform. In such cases, is there any other convenient method to identify the specific mobile signal frequency band with the missed signal?
Using the Cellular-Z App:
A simple and practical method is to download a mobile application called “Cellular-Z” on a test phone. After installing and launching the “Cellular-Z” app, the signal blocker is turned on, and the phone is taken to a predetermined test point at a certain distance from the blocker. The display interface of the app is then carefully observed, with particular attention to the column labeled “NR-FREQ.” If the displayed content shows specific frequency values, it indicates the corresponding missed mobile signal frequency band. On the other hand, if the position is empty, it means that the tested phone is completely blocked at that moment.
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Conclusion:
During the installation and debugging process of mobile signal blockers, it is essential to address and analyze whether all mobile signals are completely blocked and determine the effective range of signal coverage. In cases where missed signals occur, professional technical personnel from the signal blocker manufacturer often utilize portable spectrum analyzers to identify the specific frequency band. However, when the base station signal strength is only slightly higher than that of the signal blocker, it becomes challenging to identify the missed signal frequency band from the waveform. In such situations, the “Cellular-Z” app can be a simple and practical solution to identify the missed mobile signal frequency band.
