Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/50556
Title: Estimation of powers of uncorrelated sources in linear arrays
Authors: Ko, C.C. 
Liu, H. 
Keywords: Adaptive algorithms
Adaptive arrays
Array processing
Source estimation
Issue Date: Oct-1995
Source: Ko, C.C.,Liu, H. (1995-10). Estimation of powers of uncorrelated sources in linear arrays. Signal Processing 46 (2) : 243-248. ScholarBank@NUS Repository.
Abstract: The performance of the MUSIC estimator for the powers of uncorrelated sources arriving at a linear array is studied and is compared with the Cramer-Rao bound on the direction estimates of two closely spaced sources investigated in (Swingler, 1993). In general, it is found that if the source directions can be accurately estimated as when the sources are well separated, the estimator will function well and has a percentage variance which depends solely on the number of data samples. However, when the source separation is small and the direction estimates are poor, the normalized standard deviations of the power estimates will increase drastically and may become larger than that of the direction estimates. © 1995.
Source Title: Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/50556
ISSN: 01651684
Appears in Collections:Staff Publications

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