Communication Confrontation Interference Detection Algorithm

Jamming technique and anti-Jamming technique of the communication system are important parts of military confrontation, jamming detection technology is one of most important part of anti-Jamming technique of the communication system, which not only provides whether the Jamming exists, but also provides where is the frequency bins of jamming, how much is the jamming, what is the jamming. The jamming detection can provide rich parameters for anti-Jamming technique. In the time domain and various transform domain jamming detection technique, jamming detection of the frequency domain is mature detection technique, which has excellent detection technology and is also the most widely used. Early interference detection of the frequency domain can't properly estimate the noise level, resulting detection performance dropping.To solve the problem, this paper research several improved jamming detection algorithms based on frequency domain , which are more reliable and accurate than the early jamming detection. Analyzed performance of several algorithm in the quiet period of the communication system . and then study the non-quiet period such as the Direct Sequence Spread Spectrum(DSSS), Fast Frequency Hopping System(FFH), This paper put forward the corresponding improved algorithms , theoretical analysis and simulation of these jamming detection algorithms.Firstly, the four typical Jamming(single tone jamming , multi-tone jamming , Partial band noise jamming , linear frequency modulation)model, analyze the different types of jamming parameters, which laid the theoretical basis for jamming detection technology.Secondly, the paper study four jamming detection algorithm in the quiet period of communication system : consecutive mean excision (CME), Forward Consecutive Mean Excision(FCME), the minimum detection algorithm and the double threshold algorithm. these four algorithms all have good detection performance with narrowband interference, as to the broadband interference, the performance in order is the minimum detection algorithm, FCME algorithm, CME algorithm, while the double threshold algorithm can effectively solve the problem of judging one broadband interference to several interferences.Thirdly, we analyze the interference detection in the DSSS communication system. Due to the influence of DS signal, the spectrum isn't flat, the routine interference detection algorithm appear the high false alarm probability. Using a loop-cancellation method and the FCME algorithm, we can effectively solve this problem, the detection performance approach the quiet period detection.Finally, we analyze the interference detection in the FFH communication system. Due to the influence of FH signal, the routine interference detection algorithm cause the high false alarm probability, although this effect is much smaller than the DSSS system, this paper uses based on the hopping pattern method and loop-cancellation method, the simulations shows that the two algorithm can effectively solve this problem, the detection performance approach the quiet period detection.This paper research a quiet period and no-quiet period of jamming detection technology, which is reliable and accurate, can be used as universal means of detection.