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document type:
congress contribution (original)
title:
Particle filter based DOA estimation for multiple source tracking (MUST)
keywords:
Arrays , Bayesian methods , Direction of arrival estimation , Estimation , Noise , Sensors
authors:
Wiese, T.; Claussen, H.; Rosca, J.
congress title:
Signals, Systems and Computers (ASILOMAR), 2011 Conference
year:
2011
month:
November
abstract:
Direction of arrival estimation is a well researched topic and represents an important building block for higher level interpretation of data. The Bayesian algorithm proposed in this paper (MUST) can estimate and track the direction of multiple, possibly correlated, wideband sources. MUST approximates the posterior probability density function of the source directions in time-frequency domain with a particle filter. In contrast to other previous algorithms, no time-averaging is necessary, theref...     »
language:
en
TUM-institution:
Associate Institute for Signal Processing
ingested:
08.10.2012
format:
text