Title :
Robust MUSIC based on direct signal subspace estimation
Author :
Karhunen, Juha ; Joutsensalo, Jyrki
Author_Institution :
Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
A MUSIC-type high-resolution frequency estimator (ACM-MUSIC) that is based on direct estimation of basis vectors of the signal subspace is described. In ACM-MUSIC, eigenvector computation is avoided and possible a priori information on the frequencies of directions-of-arrival may be utilized. The method performs better than MUSIC at low SNRs and is more robust than MUSIC against overestimation of the number of sinusoids or narrowband sources
Keywords :
frequency-domain analysis; signal processing; state-space methods; ACM-MUSIC; DOA; SNR; basis vectors; direct signal subspace estimation; directions-of-arrival; high resolution frequency estimator; narrowband sources; sinusoids; Array signal processing; Autocorrelation; Frequency estimation; High performance computing; Multiple signal classification; Narrowband; Robustness; Sensor arrays; Space technology; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150173
