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Alegebraic DOA estimation and tracking using ULV decomposition

Abstract:
Blind beamforming is an important technique that is used to determine signal sources from the original signals mixed with additive noise and to estimate their direction of arrival (DOA). Before recovering the DOA information, it is necessary to preprocess the data matrix to decorrelate and normalize the mixed sources before applying nonlinear algorithms for the signal separation. A popular choice for the preprocessor has been based on the singular value decomposition (SVD). In this paper we propose an alternative preprocessor based on the ULV decomposition (ULVD). We compare both in an algebraic beamformer in terms of performance and accuracy.

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Journal:
Proceedings of the IASTED International Conference on Signal and Image Processing More from this journal
Volume:
5
Pages:
207-210
Publication date:
2003-01-01


Language:
English
Keywords:
Pubs id:
pubs:280430
UUID:
uuid:9953dfe3-86c5-475b-b43f-2a30665ad354
Local pid:
pubs:280430
Source identifiers:
280430
Deposit date:
2013-11-17

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