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Classification of moving ground radar objects by using bispectrumbased features

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut527-545
Sivumäärä19
JulkaisuTelecommunications and Radio Engineering
Vuosikerta74
Numero6
DOI - pysyväislinkit
TilaJulkaistu - 2015
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

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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