Improvement to the traditional MUSIC algorithm for MIMO radar angle estimation

Author

Jingping Liu ; Song Liu ; Huichang Zhao ; Kairui Huo

Author_Institution

Ministerial Key Lab. of JGMT, Nanjing Univ. of Sci. & Technol., Nanjing, China

fYear

2015

fDate

10-15 May 2015

Abstract

The traditional MUSIC algorithm for MIMO radar angle estimation has been improved to reduce the amount of arithmetic operations. The N-th power of the inverse matrix is applied to approximate the noise subspace to eliminate the requirement of distinguishing the signal and the noise subspace. The combination of the eigenvalues and eigenvectors replaces the N-th power of the inverse covariance matrix. The improved algorithm has been implemented by DSP. The simulation and measurement results show this MUSIC algorithm can be used to estimate the target angle accurately.

Keywords

MIMO radar; covariance matrices; digital signal processing chips; eigenvalues and eigenfunctions; estimation theory; signal classification; DSP; MIMO radar angle estimation; MUSIC algorithm; arithmetic operation; digital signal processing; eigenvalue; eigenvector; inverse covariance matrix; multiple signal classification algorithm; multiple-input multiple-output radar; noise subspace; Covariance matrices; Direction-of-arrival estimation; Estimation; Multiple signal classification; Noise; Signal processing algorithms; US Department of Defense; MIMO radar; MUSIC algorithm; angle estimation;

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.2015.7131052

Filename

7131052