Detection of LFM Signals in Low SNR Based on STFT and Wavelet Denoising

被引：0

作者：

Duan Yu ^{[1
]}

Wang Jinzhen ^{[1
]}

Su Shaoying ^{[1
]}

Chen Zengping ^{[1
]}

机构：

[1] Natl Univ Def Technol, ATR Key Lab, Changsha, Hunan, Peoples R China

来源：

2014 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING (ICALIP), VOLS 1-2 | 2014年

关键词：

DSP; LFM; STFT; wavelet; low SNR;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In view of continuous time-frequency characteristic of linear frequency modulated (LFM) signals, a detection method based on Short-time Fourier transform (STFT) and wavelet denoising is proposed. Input signals are short-time Fourier transformed into coherent integration of frequency-shift sample sequences with complex envelopes, achieving a time-frequency curve which is to be processed by wavelet, in order to weaken the noise and to detect LFM signals effectively. The scheme remains available in quite a low signal-to-noise (SNR) with low complexity. Simulation results show its fine detection performance in -18dB condition, which meets the demand of electronic reconnaissance to a large extent.

引用

页码：921 / 925

页数：5

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