基于切片熵权的WHT多LFM信号识别方法

doi:10.7527/S1000-6893.2016.0134

Abstract

Abstract:

In order to improve capability of recognizing linear frequency modulated (LFM) signal under low signal-to-noise ratio and insufficient prior information, Wigner-Hough transform (WHT) is improved with entropy method of information theory, and an algorithm of Wigner-Hough transform based on entropy (WHTE) of slice is proposed. The WHT and corresponding features of LFM signal are derived; the entropy of polar radius and angle slices in WHT's transform domain is transformed to weight factor, and then each slice can be weighted. Double-deck weight is used to weaken the influence of noise and jamming term, and probability density distribution function of LFM signal and Gaussian white noise under different assumptions in WHT dimensionality is deduced; constant false alarm rate inspection's complete flow of LFM signal after WHT is established. The feasibility of algorithm is verified via theoretical analysis and formula derivation, and the effectiveness of algorithm is proved according to comparisons with WHT, fractional Fourier transform and periodic WHT, which shows fine detection of LFM signal by WHTE algorithm under strong noise and insufficient prior information.

Key words: low signal-to-noise ratio, linear frequency modulated signal, signal recognition, Wigner-Hough transform, entropy of slice, constant false alarm rate inspection

CLC Number:

WANG Hongwei, FAN Xiangyu, CHEN You, SONG Haifang, YANG Yuanzhi. Recognition method of multiple LFM signals with WHT based on entropy of slice[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017, 38(1): 320023-320023.

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Recognition method of multiple LFM signals with WHT based on entropy of slice

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