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Proceedings Paper

Improving angular resolution with Scan-MUSIC algorithm for real complex targets using 35-GHz millimeter-wave radar
Author(s): Canh Ly
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Paper Abstract

Scan-MUSIC algorithm, developed by the U.S. Army Research Laboratory (ARL), improves angular resolution for target detection with the use of a single rotatable radar scanning the angular region of interest. This algorithm has been adapted and extended from the MUSIC algorithm that has been used for a linear sensor array. Previously, it was shown that the SMUSIC algorithm and a Millimeter Wave radar can be used to resolve two closely spaced point targets that exhibited constructive interference, but not for the targets that exhibited destructive interference. Therefore, there were some limitations of the algorithm for the point targets. In this paper, the SMUSIC algorithm is applied to a problem of resolving real complex scatterer-type targets, which is more useful and of greater practical interest, particular for the future Army radar system. The paper presents results of the angular resolution of the targets, an M60 tank and an M113 Armored Personnel Carrier (APC), that are within the mainlobe of a Κα-band radar antenna. In particular, we applied the algorithm to resolve centroids of the targets that were placed within the beamwidth of the antenna. The collected coherent data using the stepped-frequency radar were compute magnitudely for the SMUSIC calculation. Even though there were significantly different signal returns for different orientations and offsets of the two targets, we resolved those two target centroids when they were as close as about 1/3 of the antenna beamwidth.

Paper Details

Date Published: 12 August 2004
PDF: 10 pages
Proc. SPIE 5410, Radar Sensor Technology VIII and Passive Millimeter-Wave Imaging Technology VII, (12 August 2004); doi: 10.1117/12.543943
Show Author Affiliations
Canh Ly, Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 5410:
Radar Sensor Technology VIII and Passive Millimeter-Wave Imaging Technology VII
Robert Trebits; Roger Appleby; David A. Wikner; James L. Kurtz; Neil N. Salmon, Editor(s)

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