TY - GEN
T1 - Optimal quantizers for distributed Bayesian estimation
AU - Vempaty, Aditya
AU - Chen, Biao
AU - Varshney, Pramod K.
PY - 2013/10/18
Y1 - 2013/10/18
N2 - In this paper, we consider the problem of quantizer design for distributed estimation under the Bayesian criterion. We derive general optimality conditions under the assumption of conditionally independent observations at the local sensors and show that for a conditionally unbiased and efficient estimator at the Fusion Center, identical quantizers are optimal when local observations have identical distributions. This results in an N-fold reduction in complexity where N is the number of sensors. We illustrate our approach by applying it to the location parameter estimation problem.
AB - In this paper, we consider the problem of quantizer design for distributed estimation under the Bayesian criterion. We derive general optimality conditions under the assumption of conditionally independent observations at the local sensors and show that for a conditionally unbiased and efficient estimator at the Fusion Center, identical quantizers are optimal when local observations have identical distributions. This results in an N-fold reduction in complexity where N is the number of sensors. We illustrate our approach by applying it to the location parameter estimation problem.
KW - Distributed Estimation
KW - Posterior Cramér Rao Lower Bound (PCRLB)
KW - Quantizer Design
UR - http://www.scopus.com/inward/record.url?scp=84890504120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890504120&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6638591
DO - 10.1109/ICASSP.2013.6638591
M3 - Conference contribution
AN - SCOPUS:84890504120
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4893
EP - 4897
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -