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
收藏
页码：921 / 925
页数：5
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