超级WVD对多分量LFM信号参数的估计

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。

Parameters Estimation of Multi-component LFM Signals Using WVD++

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 environment. It turns out to be more ideal.