基于修正的平滑偽WVD和Hough變換的二值積累的信號(hào)檢測(cè)方法
A Signal Detection Method Based on the Modified Smoothing Pseudo WVD and the Binary Integration of Hough Transform
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摘要: 在低信噪比條件下，WVD-Hough變換可以有效的地檢測(cè)多個(gè)線性調(diào)頻信號(hào)，但是當(dāng)多個(gè)線性調(diào)頻信號(hào)能量相差很大時(shí)，強(qiáng)信號(hào)的平臺(tái)會(huì)將弱信號(hào)的峰值給淹沒(méi)， WVD-Hough變換就很難同時(shí)將這多個(gè)線性調(diào)頻信號(hào)檢測(cè)出來(lái)。該本文基于在WVD-Hough變換的基礎(chǔ)上，提出了基于修正的平滑偽WVD和Hough變換二值積累的方法。這種方法可以同時(shí)檢測(cè)出強(qiáng)信號(hào)以及被強(qiáng)信號(hào)平臺(tái)掩蓋的弱信號(hào)，具有很大的實(shí)用價(jià)值，仿真的結(jié)果驗(yàn)證了算法的有效性。Abstract: The Wigner-Ville Distribution (WVD)-Hough transform could effectively detect several Linear Modulated Frequency(LMF) signals in low Signal to Noise Ratio (SNR.) envi-ronment. However, when the energy of these LMF signals diverge greatly, it is quite difficult to detect all the LMF signals with the WVD-Hough transform at the same time, because the platform of strong signals will cover weak signals. In this paper, a signal detection method based on Modified Smoothing Pseudo-WVD (MSPWVD) 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 can be de-tected simultaneously. It means that this method has high practicable value. Simulation results verify the effectiveness of this method.
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