Accession Number:

ADA357061

Title:

Superresolution for Low-Cost Enabling Radar Technology

Descriptive Note:

Final rept. Aug 1997-Aug 1998

Corporate Author:

ARMY RESEARCH LAB ADELPHI MD

Personal Author(s):

Report Date:

1998-10-01

Pagination or Media Count:

37.0

Abstract:

The Multiple Signal Classification MUSIC algorithm has been used widely in applications with spatially distributed sensor arrays. In these applications, the algorithm uses the phase relations of the signal at different sensor pointing angles. Accordingly, the MUSIC algorithm has not been used by others to superresolve target positions within the main beam of a radar with a single narrow-beam antenna that is step-scanned in angle because there is no phase shift due to the scanning of the beam. We have developed an application called Scan MUSIC SMUSIC for the spatial resolution of closely spaced targets with a stepped-scan radar. We apply SMUSIC to resolve closely spaced coherent targets when a one-dimensional stepped scanning antenna is used. As the low-cost enabling radar technology LCERT antenna points at different angles in the horizontal azimuth direction, a step-scan sensor vector is formed. In this report, we demonstrate that SMUSIC can be used for a scanning antenna using experimental LCERT radar data. We also show the problems encountered when using experimental data from targets exhibiting constructive and destructive interferences.

Subject Categories:

  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE