论文部分内容阅读
在跳频扩频通信系统中,由于多个跳频信号在时域重叠,频域跳变,使得非合作接收条件下跳频信号的分离成为通信侦察和对抗中的一个难点问题。本文基于各源信号统计独立这一特性,采用独立分量分析的思想和技术,提出一种适合于跳频信号盲分离的自适应方法,并且针对不同频点上分离信号中出现的次序模糊问题,给出了一种跳频时刻估计算法和信号拼接的算法。理论分析和仿真实验表明,本文提出的方法能够有效地分离出多个跳频信号。
In frequency-hopping spread-spectrum communication systems, the separation of frequency-hopping signals under non-cooperative reception becomes a difficult problem in communication reconnaissance and confrontation because multiple frequency-hopping signals overlap in time domain and frequency-domain hopping. Based on the independent statistics of each source signal and using the idea and technology of independent component analysis, this paper proposes an adaptive method suitable for blind separation of frequency-hopping signals. In order to solve the problem of ambiguity in the separation of signals at different frequencies, A frequency hopping moment estimation algorithm and signal splicing algorithm are given. Theoretical analysis and simulation experiments show that the proposed method can effectively separate multiple frequency hopping signals.