SAR Interference Signal Feature Vector Extraction and Simulation Based On Wavelet Packet Analysis
This paper studies the use of wavelet analysis method to realize the non-coherent narrow-band SAR radar signal interference suppression. Based on the full study of Irregular wavelet tree in interference detection and filtering, an adaptive filter using wavelet packet decomposition to extract the interference signal feature vector has been proposed. Simulation experiments based on this method have been carried out, by using SNR improvement, interference rejection ratio, signal distortion and other evaluation criteria to evaluate the results of interference suppression, the results show that the effect of wavelet packet filtering interference suppression is good.
Wavelet Analysis interference suppression SAR adaptive filter
QU Wei JIA Xin LIU Shu-qian WU Yan-hong
Academy of Equipment Command & Technology, Beijing, China 101416
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
1965-1968
2010-07-05(万方平台首次上网日期,不代表论文的发表时间)