Micro-Doppler signature based target recognition using covariance based S-transform

Author:

Shubham Abhinav,Sharma Sunil Datt

Abstract

Abstract Micro-Doppler signature analysis play an important role for target recognition such as fixed-target, vibrating target, moving human, vehicular motion, etc. Therefore, various signal processing based methods are reported for target recognition. Recently, Short time Fourier transform (STFT), has been applied for target recognition. In this work, we have applied Covariance based S-transform for analysis of fixed target, vibrating target. Also, the performance of Covariance based S-transform method has been compared with STFT.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference8 articles.

1. Analysis of micro-Doppler signatures;Chen;IEE Proceedings-Radar, Sonar and Navigation,2003

2. Micro-Doppler effect in radar: phenomenon, model, and simulation study;Chen;IEEE Transactions on Aerospace and electronic systems,2006

3. Pulsed radar target recognition based on micro-Doppler signatures using wavelet analysis;Kizhakkel,2013

4. Analysis of radar micro-Doppler signatures from experimental helicopter and human data;Thayaparan;IET Radar, Sonar & Navigation,2007

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Roadside Radar System for Target Detection;2024 IEEE International Conference on Cybernetics and Innovations (ICCI);2024-03-29

2. UAV Classification from Micro-Doppler Signature-based Time Frequency Images using SVM;2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2022-11-24

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