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Journal of Applied Remote Sensing • Open Access

Micromotion feature extraction of radar target using tracking pulses with adaptive pulse repetition frequency adjustment
Author(s): Yijun Chen; Qun Zhang; Changzheng Ma; Ying Luo; Tat Soon Yeo

Paper Abstract

In multifunction phased array radar systems, different activities (e.g., tracking, searching, imaging, feature extraction, recognition, etc.) would need to be performed simultaneously. To relieve the conflict of the radar resource distribution, a micromotion feature extraction method using tracking pulses with adaptive pulse repetition frequencies (PRFs) is proposed in this paper. In this method, the idea of a varying PRF is utilized to solve the frequency-domain aliasing problem of the micro-Doppler signal. With appropriate atom set construction, the micromotion feature can be extracted and the image of the target can be obtained based on the Orthogonal Matching Pursuit algorithm. In our algorithm, the micromotion feature of a radar target is extracted from the tracking pulses and the quality of the constructed image is fed back into the radar system to adaptively adjust the PRF of the tracking pulses. Finally, simulation results illustrate the effectiveness of the proposed method.

Paper Details

Date Published: 12 August 2014
PDF: 14 pages
J. Appl. Rem. Sens. 8(1) 083569 doi: 10.1117/1.JRS.8.083569
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Yijun Chen, Air Force Engineering Univ. (China)
Qun Zhang, Air Force Engineering Univ. (China)
Fudan Univ. (China)
Changzheng Ma, National Univ. of Singapore (Singapore)
Ying Luo, Air Force Engineering Univ. (China)
Tat Soon Yeo, National Univ. of Singapore (Singapore)

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