Angular superresolution for scanning radar with MUSIC based on virtual array mapping

Author

Yulin Huang ; Yongchao Zhang ; Wenchao Li ; Yin Zhang ; Zhimin Wang

Author_Institution

Univ. of Electron. Scinence & Technol. of China, Chengdu, China

fYear

2015

fDate

10-15 May 2015

Abstract

Angular resolution is crucial for a scanning radar system since it is limited by real aperture. Aiming at this problem, a scheme of angular superresolution for scanning radar with MUSIC based on virtual array mapping is proposed. First, according to the similarity between the power antenna adopted in scanning radar and that in uniform linear array (ULA) processing, the azimuth echo is mapped to the common beamformer (CBF) output of a corresponding virtual ULA. Then based on this mapping relationship, the data covariance matrix of the virtual ULA is estimated by using the least squares (LS) criterion and the targets distribution is recovered via multiple signal classification (MUSIC) algorithm. Simulation validates that the method can improve the scanning radar angular resolution.

Keywords

aperture antennas; covariance matrices; least squares approximations; radar antennas; radar signal processing; CBF; LS criterion; MUSIC; MUSIC algorithm; ULA processing; angular superresolution; azimuth echo; common beamformer; data covariance matrix; least squares; mapping relationship; multiple signal classification; power antenna; scanning radar angular resolution; scanning radar system; targets distribution; uniform linear array; virtual ULA; virtual array mapping; Arrays; Azimuth; Image resolution; Radar antennas; Signal resolution; Spaceborne radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference (RadarCon), 2015 IEEE

Conference_Location

Arlington, VA

Print_ISBN

978-1-4799-8231-8

Type

conf

DOI

10.1109/RADAR.2015.7131018

Filename

7131018