基于WVD和Hough变换二值积累的信号检测方法

WVD-Hough变换是检测多分量线性调频信号的有力工具,但当多分量线性调频信号能量相差较大时,采用WVD-Hough变换进行检测,就会导致强信号对应峰值的平台将弱信号所对应的峰值掩盖掉。虽然可以通过基于＂CLEAN＂思想的算法将信号一一检测出来,但带来的计算量急剧增大。为此在WVD-Hough变换的基础上提出了基于WVD-Hough变换的二值积累方法,该方法可以同时检测出强信号以及被强信号平台掩盖的弱信号,具有很大的实用价值,仿真的结果验证了算法的有效性。

A Novel Signal Detection Method Based on WVD and Binary Integration of Hough Transform

The Wigner-Ville Distribution（WVD） Hough transform could effectively detect several Llinear-Frequency Modulated（LFM） signals in low Signal-Noise Ratio（SNR） environment.However,when the energy of these LFM signals diverge greatly,it is quite difficult to detect all LFM signals with the WVD-Hough transform at the same time,because the platform of strong signals will cover weak signals.All LFM signals can be detected with the ＂CLEAN＂ technique,but this solution can lonely be achieved at the cost of a large increase in computational load. A signal detection method based on WVD and binary integration in Hough transform parameter space is proposed according to the WVD-Hough transform. Using this method, strong signals as well as the weak signals covered by the strong signals could be detected simultaneously. It means that this method has high practicable value. Simulation results verify the effectiveness of this method.