Title :
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
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;
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
DOI :
10.1109/RADAR.2015.7131052
