DocumentCode :
1056284
Title :
Statistical analysis of beam-space estimation for direction-of-arrivals
Author :
Li, Fu ; Liu, Hui
Author_Institution :
Dept. of Electr. Eng., Portland State Univ., OR, USA
Volume :
42
Issue :
3
fYear :
1994
fDate :
3/1/1994 12:00:00 AM
Firstpage :
604
Lastpage :
610
Abstract :
The authors analyze the beam-space performance of the DOA estimation for several subspace processing algorithms in a unified fashion based on a finite amount of measurements. The mean-squared errors (MSE) of the beam-space DOA estimation for these algorithms are expressed; in a single formula using physical parameters like array manifold, beamformer matrix. The important properties of beam-space performance are revealed; for instance, increasing beam-space dimension does not always reduce MSE for all algorithms. Also, the criteria for designing minimum mean-squared error beamformers are discussed
Keywords :
array signal processing; matrix algebra; statistical analysis; DOA estimation; MSE; array manifold; beam-space dimension; beam-space estimation; beam-space performance; beamformer matrix; direction-of-arrivals; mean-squared errors; measurements; minimum mean-squared error beamformers; statistical analysis; subspace processing algorithms; Algorithm design and analysis; Bismuth; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Multiple signal classification; Performance analysis; Phased arrays; Sensor arrays; Statistical analysis;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.277852
Filename :
277852
Link To Document :
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