Title :
Performance analysis of eigenstructure based DOA estimators employing conjugate symmetric beamformers
Author :
Zoltowski, Michael D. ; Kautz, Gnqory M. ; Mathews, Cherian P.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
If one employs conjugate centro-symmetric beamforming weight vectors in conjunction with a uniformly-spaced linear array, the noise eigenvectors in Beamspace MUSIC may be computed as the `smallest´ eigenvectors of the real part of the beamspace sample covariance matrix. Through theoretical performance analysis and verification via Monte Carlo simulations, this paper shows that taking the real part offers significant performance gains in addition to computational gains, particularly for correlated sources
Keywords :
Monte Carlo methods; array signal processing; correlation theory; eigenvalues and eigenfunctions; noise; Monte Carlo simulations; beamspace sample covariance matrix; computational gains; conjugate centro-symmetric beamforming weight vectors; correlated sources; eigenstructure based DOA estimators; noise eigenvectors; performance analysis; uniformly-spaced linear array; Array signal processing; Carbon capture and storage; Cascading style sheets; Covariance matrix; Direction of arrival estimation; Multiple signal classification; Niobium; Performance analysis; Performance gain; Vectors;
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0508-6
DOI :
10.1109/SSAP.1992.246866
