超级WVD对多分量LFM信号参数的估计  

Parameters Estimation of Multi-component LFM Signals Using WVD

作　　者：林炎[1] 张友益[2] 

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003 [2]中国船舶重工集团公司第七二三研究所,江苏扬州225001

出　　处：《现代雷达》2014年第1期47-51,共5页Modern Radar

摘　　要：线性调频信号广泛存在于雷达系统之中。目前,对其检测及参数估计最常用的方法是WVD-Hough方法。不过,它存在以下三个突出问题:1)在多分量情形下,受交叉项干扰严重;2)在低信噪比环境中,受噪声项干扰严重;3)巨大的计算量和数据存储量。文中在超级WVD的基础上,结合Hough变换,提出了超级WVD-Hough方法,在负信噪比的环境中,多分量的情形下,对LFM信号进行了检测及参数的估计,取得了更为理想的效果。Linear FM signal exists widely in radar systems. Nowadays, the most common method for its detection and parameters estimation is Wigner Ville Distribution-Hough （WVD Hough） transform method. However, there are three problems with it： It is influenced by cross term when a signal contains some components. It is influenced by noisy term when a signal is in negative SNR environment, and its big computation and mathematical memory consume too many resources. A novel method is presented based on WVD＋＋ and Hough transform to detect and estimate the parameters of multi-component LFM signal in negative SNR environ- ment. It turns out to be more ideal.

关 键 词：超级WVD HOUGH变换 线性调频信号 负信噪比 

分 类 号：TN957.51[电子电信—信号与信息处理]