一种基于阵列信号处理的跳频信号盲检测方法

Array signal processing-based blind detection of frequency-hopping signals

提出一种适用于多天线系统的跳频信号盲检测方法.先用该方法求出多路信号之间的互相关函数的功率谱密度之和,得到随时间改变的功率谱密度矩阵,然后通过对该矩阵的处理产生跳频信号的时频图,将跳频信号的各跳从时频图中分割出来并得到其各个hop的参数集.现场测试表明:该方法切实有效,大大提高了信噪比,改善了整体性能.

An algorithm for blindly detecting based on three main steps： i） compute frequency-hopping （FH） signals was proposed. The method is the cross-correlation function （CCF） of FH signals from multichanneis; ii） compute the power spectrum density matrix （PSDM） as a function of time; iii） generate spectrogram, segment hops of FH signals from spectrogram, and obtain the hops＇ parameters via analyzing the PSDM. The field test shows that the presented algorithm is effective and outperforms traditional methods by greatly improving the signal noise ratio （SNR）.