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电信和无线电工程
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN 打印: 0040-2508
ISSN 在线: 1943-6009

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电信和无线电工程

DOI: 10.1615/TelecomRadEng.v74.i6.50
pages 527-545

CLASSIFICATION OF MOVING GROUND RADAR OBJECTS BY USING BISPECTRUM-BASED FEATURES

P.O. Molchanov
Tampere University of Technology, P. O. Box 553, FIN-33101, Tampere, Finland
J. T. Astola
Tampere University of Technology, Signal Processing Laboratory, P. O. Box 553, FIN-33101, Tampere, Finland
Karen O. Egiazarian
Tampere University, Department of Signal Processing, P. O. Box 553, FIN-33101, Tampere, Finland
A. V. Totsky
National Aerospace University (Kharkiv Aviation Institute), 17, Chkalov St., Kharkiv, 61070, Ukraine

ABSTRACT

In this paper, a novel bispectrum-based strategy applied for moving object classification by using the Doppler radar surveillance systems is proposed. Time-frequency distributions (TFDs) computed by bispectrum-based processing of signals backscattered by moving objects are used for extraction of classification features. Phase coupling contributions extracted from radar backscattering serve as the classification features contained in bispectrum-based TFDs. Coherent and homodyne Doppler radar operating at frequency of 33 GHz and continuous mode is exploited in experimental measurements. Experimental data are collected for five target classes: a single walking human, a group of walking humans, a bicyclist, a vehicle, and vegetation clutter. Classification performance of the proposed bispectrum-based automatic target recognition (ATR) radar system is examined by comparing it to the ATR systems using common energy-based TFDs. The benefits of the bispectrum-based approach are demonstrated and studied.


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