DocumentCode
2545521
Title
A low complexity 2-D adaptive array for separating uncorrelated sources
Author
Ko, C.C.
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fYear
2000
fDate
2000
Firstpage
327
Lastpage
331
Abstract
This paper describes a 2-D adaptive array for separating uncorrelated sources. A matrix preprocessing beamformer, which will result in outputs from individual sources in the steady state, is used. The beamformer is updated periodically using the most recently available source location estimates. These estimates are in turn refined by using the beamformer outputs to adaptively eliminate correlated components in a reference element of the array. Although its initial convergence may be rather erratic, the adaptive algorithm has low O(M) complexity and has only 1 asymptotic time constant
Keywords
array signal processing; computational complexity; convergence of numerical methods; estimation theory; adaptive algorithm; asymptotic time constant; convergence; correlated components; low O(M) complexity; low complexity 2D adaptive array; matrix preprocessing beamformer; separating uncorrelated sources; source location estimates; Adaptive algorithm; Adaptive arrays; Array signal processing; Attenuation; Convergence; Noise generators; Position measurement; Power generation; Steady-state; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location
Cambridge, MA
Print_ISBN
0-7803-6339-6
Type
conf
DOI
10.1109/SAM.2000.878023
Filename
878023
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