摘要
盲源分离技术是近年来信号处理领域的热点研究课题,是根据输入源信号的基本统计特征,由观测数据进行信号分离,最终恢复出源信号。本文分析盲源分离技术的FastICA算法,并提出了将其用于气象雷达信号分选。计算机仿真表明,这种算法应用于气象雷达信号分选时可以获得很好的分离效果。
Blind source separation technique has become an emerging subject in signal processing in these years,which depends on the source signal statistical characteristics to separate the signals from the observation data,and recovers the source signals in the end. After analyzing FastlCA, a new method of the weather radar signal sorting, based on independent component analysis is proposed. Computer simulation indicates its better performance in the weather radar signal sorting.
出处
《微计算机信息》
2009年第22期171-172,共2页
Control & Automation