基于小波与傅里时变换的一类短波盲信道自适应分离算法研究

在军事短波通信信息侦察方面,短波盲信道分离有着至关重要的作用。本文对截获到的短波通信信号在信道个数及信道带宽均不确定、信道频谱理论上不重叠条件下的盲信道分离问题进行研究,将小波分析与傅里叶变换相结合,提出了一种短波盲信道自适应分离算法。仿真试验表明,该分离算法能对短波盲信道进行有效分离,具有分离精度高,抗噪声干扰能力强的优点。

A SELF-ADAPTIVE SEPARATION ALGORITHM OF BLIND SHORT-WAVE CHANNEL BASED ON WAVELET ANALYSIS AND FOURIER TRANSFORM

Short-wave (SW) blind channel separation has crucial application to military SW communication information scout. In this paper, blind channels separation of the captured SW communication signal, on condition that the number of blind channels and the bandwidth of each blind channel are both unknown, and blind channel frequency spectrum isn't overlapped with each other, is investigated. Combining wavelet analysis with Fourier transform, a self-adaptive SW blind channel separation algorithm is proposed. Simulation results show that the proposed SW blind channel separation algorithm is of high separation precision and stronger anti-noise-interference ability.