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Title: Unbiased Separation and Enhancement of Sources by Using a Zero Tracking Algorithm with Post Processing
Authors: Ko, C.C. 
Garg, H.K. 
Issue Date: Oct-1997
Citation: Ko, C.C.,Garg, H.K. (1997-10). Unbiased Separation and Enhancement of Sources by Using a Zero Tracking Algorithm with Post Processing. Digital Signal Processing: A Review Journal 7 (4) : 209-221. ScholarBank@NUS Repository.
Abstract: This paper proposes and investigates a new structure for the unbiased separation, tracking, and enhancement of uncorrelated sources by a linear array. The structure consists of a matrix preprocessing beamformer followed by an adaptive linear combiner and a postprocessing beam-former. The weights of the adaptive linear combiner are updated by using the LMS algorithm and, together with the preprocessor, implement an adaptive array whose response zeros are adjusted to minimize the output power with unity element weight vector norm constraint. By properly designing the preprocessor, first-order movements in the response zeros can be individually and proportionally controlled by first order changes in the weights in the linear combiner, and the preprocessor outputs will be due to individual sources and receiver noise in the steady state. By measuring the powers of the preprocessor outputs, it will be possible to determine if a particular preprocessor output is due to an actual source (if the associated zero is tracking a source) or merely receiver noise (if the associated zero is not tracking any source). Further SNR enhancement is then carried out by making use of those preprocessor outputs due to receiver noise to remove the correlated receiver noise components in the other preprocessor outputs tracking actual sources through the use of a matrix postprocessor. Apart from the implementation of the preprocessor and postprocessor which will be inevitable in any source separation system and which have to be designed only occasionally and whenever the response zeros have been found to have changed significantly, the algorithm has an implementation complexity which is proportional to the array size. However, as the preprocessor outputs are due primarily to individual sources in the steady state, the algorithm has only one single asymptotic time constant controlled by the designed misadjustment level and has fast tracking performance. © 1997 Academic Press.
Source Title: Digital Signal Processing: A Review Journal
ISSN: 10512004
Appears in Collections:Staff Publications

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