Paper
13 August 1999 Simultaneous HRR feature extraction and Doppler shift estimation of moving target with rigid bodies
Zhaoqiang Bi, Renbiao Wu, Jian Li, Robert L. Williams
Author Affiliations +
Abstract
High Range Resolution (HRR) Moving Target Indicator (MTI) is becoming increasingly important for many military and civilian applications involving the detection and classification of moving targets in the clutter background. For ground-based HRR radar, when targets are moving slowly or near-broadside and the coherent processing interval (CPI) (or dwell time) is not too long, the effects of range migration and range feature distortion can be ignored. Based on the above assumptions, relaxation-based algorithms, which are robust and computationally simple, are proposed in this paper for the HRR feature extraction of moving targets consisting of scatterers very closely spaced in range and common Doppler shift in the presence of stationary clutter. Numerical examples show that the proposed algorithms exhibit super resolution and excellent estimation performance.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhaoqiang Bi, Renbiao Wu, Jian Li, and Robert L. Williams "Simultaneous HRR feature extraction and Doppler shift estimation of moving target with rigid bodies", Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); https://doi.org/10.1117/12.357659
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Cited by 1 scholarly publication.
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KEYWORDS
Radar

Doppler effect

Detection and tracking algorithms

Feature extraction

Target detection

Signal to noise ratio

Data modeling

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