摘要
雷达信号分选利用信号特征参数的相关性来实现不同雷达信号的分离。在实际雷达信号分选的处理过程中,由于信号参数的无规律性以及先验知识的缺乏,采用独立分量分析(Independent Component Analysis,ICA)的方法对雷达信号进行处理。针对ICA算法分离非平稳信号性能下降的问题,提出一种相关性测度变步长ICA算法,将其应用于雷达信号分选中。计算机仿真表明,这种算法不仅减少了信号的分选达到收敛的迭代次数,而且可以有效地提高信号分选的稳态性。
Radar signal sorting separates different radar signals with correlation of signal charac-teristic parameters. For the irregularities of characteristic parameters and the lack of prior knowl-edge, independent component analysis （ICA） are broadly used in the process of actual radar signal sorting. For the decline of performance in ICA to separate non-stationary signals, a varia-ble step size ICA algorithm based on correlation measure is proposed and applied in radar signal sorting. The computer simulation shows the algorithm not only reduces the number of iterations when signal sorting achieves convergence, but also can effectively improve the stability of the signal sorting.
出处
《电子信息对抗技术》
2015年第4期1-3,80,共4页
Electronic Information Warfare Technology
关键词
独立分量分析(ICA)
雷达分选
相关性测度
independent component analysis （ICA）
radar signal sorting
correlation measure
