TY - GEN
T1 - A sequential Bayesian beamformer FOR Gauss-Markov signals
AU - Lam, Chun Wei J.
AU - Singer, Andrew C.
N1 - Publisher Copyright:
© 2002 IEEE.
PY - 2002
Y1 - 2002
N2 - A Bayesian approach to beamforming is used to derive a sequential adaptive beamformer for estimating Gauss-Markov signals when the source direction-of-arrival (DOA) is uncertain. The DOA is assumed to be randomly selected from a discrete set of candidate directions, with a known probability mass function (PMF). Through a development similar to that of Bell, et al.[l], for i.i.d. sources, the resulting estimator becomes a weighted-combination of Kalman estimators for the source, where the observations for each estimator are retrieved using an MVDR beamformer for each of the candidate DOA's and where the relative weighting is proportional to the likelihood of the DOA given the observed data so far. Aspects of the proposed beamformer, such as robustness to DOA and asymptotic estimation performance are compared with conventional MVDR-based approaches.
AB - A Bayesian approach to beamforming is used to derive a sequential adaptive beamformer for estimating Gauss-Markov signals when the source direction-of-arrival (DOA) is uncertain. The DOA is assumed to be randomly selected from a discrete set of candidate directions, with a known probability mass function (PMF). Through a development similar to that of Bell, et al.[l], for i.i.d. sources, the resulting estimator becomes a weighted-combination of Kalman estimators for the source, where the observations for each estimator are retrieved using an MVDR beamformer for each of the candidate DOA's and where the relative weighting is proportional to the likelihood of the DOA given the observed data so far. Aspects of the proposed beamformer, such as robustness to DOA and asymptotic estimation performance are compared with conventional MVDR-based approaches.
UR - https://www.scopus.com/pages/publications/84949198028
U2 - 10.1109/SAM.2002.1190993
DO - 10.1109/SAM.2002.1190993
M3 - Conference contribution
AN - SCOPUS:84949198028
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 28
EP - 32
BT - 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002
PB - IEEE Computer Society
T2 - IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002
Y2 - 4 August 2002 through 6 August 2002
ER -