Title :
Detection of the number of signal sources utilizing MUSIC spectrum uniformity
Author :
Liu, Zhiguo ; Liao, Guisheng
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
A novel method is introduced in this paper that detects the number of signal sources utilizing the uniformity of MUSUC spectrum. MUSIC scanning spectrum has different uniformity with different noise subspace. The standard deviation is utilized to describe the uniformity of MUSIC scanning spectrum. According to the turn point of the standard deviation curve, the source number is detected and the locations can be estimated simultaneously. The performance of the proposed approach is demonstrated using a numerical simulation.
Keywords :
numerical analysis; signal classification; signal detection; signal sources; MUSIC scanning spectrum uniformity; numerical simulation; signal sources detection; standard deviation curve; Arrays; Covariance matrix; Eigenvalues and eigenfunctions; Estimation; Multiple signal classification; Noise; Signal processing algorithms; MUSIC; direction of arrival; the number of signal sources; uniformity;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061818
