Abstract
Global position systems (GPS) receiver based on least mean square (LMS) could resist the interference by null jamming direction. Considering that the existing band-limited Gaussian noise jamming signals were easily suppressed by LMS-based GPS receivers, a time domain random flicker band-limited Gaussian noise jamming algorithm was proposed to improve its performance. By disturbing the convergence of LMS, it could achieve the purpose of suppressing the LMS-based GPS. Simulation result shows that the proposed algorithm has an average performance gain of 2.7dB~4.6dB under different number of interferences compared with band-limited Gaussian noise.
Highlights
Global position systems (GPS) jamming is mainly divided into deceptive jamming and suppressing jamming
We propose a novel jamming method for least mean square (LMS)-based GPS receiver
After the antenna array receives the interference signal, the weight W of each antenna element is calculated by the adaptive algorithm based on LMS
Summary
GPS jamming is mainly divided into deceptive jamming and suppressing jamming. It is very difficult to implement deceptive jamming because the long length of P(Y) code in GPS spread spectrum code and encryption processing. Reference [8] show the jamming optimal power difference for LMS-based GPS receivers. We propose a novel jamming method for LMS-based GPS receiver. The proposed jamming algorithm can obtain better performance on null depth of pattern compared with the band-limited Gaussian noise. The algorithm uses band-limited Gaussian noise as jamming signal, flickers in time domain, and pulse duration and interval time are random in a certain range.
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