Based on a three-dimensional scatterer model, the echo from a truck is modeled under narrowband chirp signal system. Mathematical representations of the Doppler generated by bulk scatterers and micro-Doppler due to the rotating scatterers on the hub are analyzed and derived. A dictionary is designed
in terms of their differences. Meanwhile, a threshold of energy in slow time-range plane is set, which is useful in the extraction of echoes in energy-centralized range cells. Matching pursuit can be implemented by decomposing the echoes into corresponding atoms. Fast extraction of micro-Doppler signature of wheel rotation is accomplished. These provide references for truck recognition. Effectiveness and robustness of the method are shown by the simulation results.
LI Kai-ming1, ZHANG Qun1,2, LIANG Bi-shuai1, LUO Ying1
. Micro-Doppler Modeling and Signature Extraction of Trucks[J]. Journal of Applied Sciences, 2014
, 32(2)
: 170
-177
.
DOI: 10.3969/j.issn.0255-8297.2014.02.009
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