DocumentCode
1835505
Title
Array processing application: angular superresolution for scanning antenna
Author
Ly, Canh ; Dropkin, Herbert ; Manitius, Andrzej Z.
Author_Institution
Army Res. Lab., Adelphi, MD, USA
Volume
1
fYear
1999
fDate
24-27 Oct. 1999
Firstpage
164
Abstract
Step-scanned radar antennas represent a new application of radar technology for detection of targets and estimation of their locations. Processing of radar data from scanning antennas involves techniques that are similar to linear array antenna processing techniques. In particular, an extension of the well-known multiple signal classification (MUSIC) algorithm is applicable; however, it requires some modifications. This paper describes a new development called scan-MUSIC (SMUSIC), which extends the application of the MUSIC algorithm to the resolution of closely spaced targets with a step-scanned radar. This paper also demonstrates that SMUSIC can be used with radar data obtained with an experimental coherent scanning radar. The results show that targets that are spaced less than 1/4 of the antenna beamwidth and are interfering can be resolved with SMUSIC under some circumstances. A new approach for determining the limit of the resolvability of two targets as a function of the relative phase of their coherent returned signals, without going through the whole process of computing the SMUSIC pseudo-spectrum, is also presented.
Keywords
antenna arrays; array signal processing; radar antennas; radar detection; radar resolution; scanning antennas; signal classification; MUSIC algorithm; SMUSIC; angular superresolution; array processing; closely spaced targets; coherent returned signals; multiple signal classification; resolution; resolvability; scan-MUSIC; scanning antenna; step-scanned radar antennas; Array signal processing; Classification algorithms; Linear antenna arrays; Multiple signal classification; Radar antennas; Radar applications; Radar detection; Signal processing; Signal resolution; Spaceborne radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-5700-0
Type
conf
DOI
10.1109/ACSSC.1999.832315
Filename
832315
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