Abstract
The chaotic compound short-range detection system is a new type of short-range detection system, which has strong anti-jamming ability. However, for the deception jamming, the characteristics of the complex short-range detection system are very similar to the detection echo, which poses a serious threat to the detection system. In order to analyze and extract the different characteristics between deceptive jamming and target echo signal, so as to realize the anti-deceptive jamming of chaotic compound short-range detection system, this article analyzes and simulates the mathematical model of deceptive jamming and target echo, and analyzes the bispectral characteristics of the simulated echo and jamming signal, and a set of anti-deception jamming feature parameters has been constructed. The identification of deceptive interference is realized by genetic algorithm–back propagation neural network, and the recognition accuracy is high and the real-time performance is good.
Highlights
Chaotic phase modulation combined with sawtoothwave frequency modulation short-range detection system is a new type of complex short-range detection system
The chaotic phase modulation sawtooth-wave frequency modulation composite short-range detection system has been introduced and analyzed, which proved that the detection system has strong distance–distance capability
For the echo signals and three different deceptive interference signals of the detection system, this article proposes a method of bispectral analysis to analyze the bispectral slices of various signals, and four parameters of convexity, bispectral maximum, bispectral mean, and bispectral entropy have been proposed
Summary
Chaotic phase modulation combined with sawtoothwave frequency modulation short-range detection system is a new type of complex short-range detection system. Most of the related methods in the above reference are limited to the research on the conventional shortrange detection system, and less on the complex shortrange detection system, especially the chaotic composite system These methods cannot solve the problem of high accuracy and real-time performance for deceptive interference recognition, and cannot realize the distinction between different deceptive interference signals. Traditional method is difficult to distinguish between deceptive interference and effective echo signals, which has a great impact on the normal operation of short-range detection systems. The bispectral feature analysis of the detection system echo signals and different types of deceptive interference signals is carried out, and the relevant feature quantities are extracted to realize the identification of deceptive interference.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Distributed Sensor Networks
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
