A High Quality Algorithm of Time-Frequency Analysis and Its Application in Radar Signal Target Detection via LMSCT

doi:10.16183/j.cnki.jsjtu.2020.432

Abstract

Abstract:

Aimed at the fact that the chirplet rate parameter of the chirplet transform (CT) cannot match the instantaneous frequency of the signal completely, and that the anti-noise performance of the algorithm is poor, this paper proposes a high-quality local maximum synchrosqueezing chirplet transform (LMSCT) algorithm to improve the deviation of energy diffusion amplitude in CT time-frequency (TF)distribution. The main idea of this algorithm is to reallocate CT frequency points by local maximum synchrosqueezing operation. The experiment results show that the LMSCT algorithm has a higher TF concentration and a strong ability to suppress the interference of noise. The method can maintain a better resolution of TF representation at a low signal-to-noise ratio. In the application analysis of IPIX processing radar signals, the LMSCT algorithm can clearly describe the TF joint distribution characteristic of target signal and determine the distance unit of target, which provides the judgement basis for small target detection of IPIX radar signal in the background of sea clutter.

Key words: time-frequency (TF) analysis, chirplet transform (CT), local maximum synchrosqueezing transform, IPIX processing radar signal

CLC Number:

TN911.72

HAO Guocheng, ZHANG Bichao, GUO Juan, ZHANG Yabing, SHI Guangyao, WANG Panpan, ZHANG Wei. A High Quality Algorithm of Time-Frequency Analysis and Its Application in Radar Signal Target Detection via LMSCT[J]. Journal of Shanghai Jiao Tong University, 2022, 56(2): 231-241.

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时频分析算法	Rényi熵
STFT	17.4814
CT	17.2184
LMSCT	11.6583
SST	12.2263

时频分析算法	Rényi熵
STFT	14.8945
CT	14.5068
LMSCT	9.7202
SST	10.3494

IPIX雷达参数	参数值
风向/(°)	300
风速/(km·h^-1)	19
浪高/m	0.7
距离分辨率/m	30
采样间隔/m	15
目标单元	8
受影响单元	7、9、10