Title :
A low complexity 2-D adaptive array for separating uncorrelated sources
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
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;
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
DOI :
10.1109/SAM.2000.878023