摘要
合成孔径雷达(SAR)图像中出现干扰条纹是由电视、广播和各类通信系统辐射源的频率在系统带宽内,造成接受的信号中混有干扰信号。由于这些干扰通常具有高于系统背景噪声的功率电平,会对SAR造成不同的影响。在某些系统中SAR信号在距离频域沿着距离向相邻的点会具有一定的相关性。如果某些频谱值被干扰信号污染,则可以利用它周围的点估计出该频段的信息。基于这一想法,提出一种干扰抑制算法,能有效的估计出被干扰影响的频谱信息。当频谱中干扰信号所污染的频段的个数较多时,相比传统方法,这种方法能更为有效地估计出原始信号。
Narrow-banded interference is becoming a main source for the degradation in synthetic aperture radar（SAR） imaging. A new interference suppression based upon estimating the interference-corrupted value of the signal in range frequency domain is proposed. This algorithm is based upon the assumption that the signal received by radar can be approximately modeled by AR process in range frequency domain. This assumption differs from traditional methods in that traditional methods usually treat SAR data as white noise. When the number of frequency bands contaminated by interference signals in the spectrum is more,the algorithm can estimate the original signal more effectively than traditional one.
出处
《电子测量技术》
2012年第4期90-94,共5页
Electronic Measurement Technology
基金
航天遥感项目NKBRP(2007AA120302/03)资助项目
