Title :
Extension of ESPRIT method to unknown noise environments
Author :
Wu, Qiang ; Reilly, James P.
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Abstract :
With the assumption that noise correlation is spatially limited, it is proposed to use two subarrays to eliminate the effects of unknown noise (UN). To find the estimate of the signal subspace, canonical decomposition is used. Direction-of-arrival (DOA) estimation is then carried out by using the spatial invariance between the two subarrays, which is similar to the methodology of ESPRIT. The method provides a consistent estimator for all spatially band limited noise. Numerical simulations have verified that when the noise spectrum is moderately rough, UN-ESPRIT gives acceptable performance, while ESPRIT fails at even relatively high SNRs. On the other hand, for a given number of sensors, UN-ESPRIT has smaller aperture than ESPRIT
Keywords :
matrix algebra; noise; signal processing; DOA estimation; ESPRIT; SNR; UN-ESPRIT; array signal processing; canonical decomposition; direction of arrival; matrix algebra; noise correlation; noise spectrum; numerical simulations; sensors; signal subspace; spatial invariance; spatially band limited noise; subarrays; unknown noise environments; Array signal processing; Direction of arrival estimation; Mathematical model; Mathematics; Matrix decomposition; Sensor arrays; Signal resolution; Spatial resolution; White noise; Working environment noise;
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.1991.150175