摘要
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 （FH） spread spectrum communication system, due to the multiple FH signals overlap in time domain and frequency domain, the separation of multiple FH signals becomes a hard problem in non-cooperative communication environments. Based on statistic independence of source signals, a new adaptive separation method for frequency-hopping signals is proposed, which utilizes ICA （Independent Component Analysis） theories and algorithms. And the algorithms to estimate hopping-time and eliminate order ambiguity of the separated signals caused by frequency hopping are also provided. Theoretical analysis and simulation results show that the proposed method is effective in the separation of FH signals.
出处
《通信技术》
2008年第12期10-12,共3页
Communications Technology
关键词
跳频信号
盲源分离
独立分量分析
信号拼接
Frequency Hopping
Blind Source Separation
Independent Component Analysis
Signal Matching
