Investigation of some bias and MSE issues in block-component-wise conditionally unbiased LMMSE

Triki, Mahdi;Slock, Dirk T M

Asilomar 2006, 40th IEEE Annual Asilomar Conference on Signals, Systems, and Computers, October 29-November 1, 2006, Pacific Grove, USA

Imposing a joint conditionally unbiasedness constraint on a vector of parameters reduces Bayesian estimation to deterministic parameter estimation. In Component-wise Conditionally Unbiased (CWCU) Bayesian parameter estimation, every parameter in turn is treated as deterministic while the others are being treated as Bayesian. If the parameters are transmitted symbols, the CWCU approach corresponds to unbiased multi-symbol detection whereas joint deterministic unbiasedness leads to a zero-forcing approach. In this paper we consider an intermediate approach corresponding to Block-CWCU (BCWCU) LMMSE estimation. We investigate the interplay between block-size, joint bias and prior covariance rank. We also investigate two Sequential Interference Cancellation (SIC) implementation of the BCWCU-LMMSE estimation. The results are illustrated with concrete examples

Detail

Document

DOI

BIBTEX

Type:

Conférence

City:

Pacific Grove

Date:

2006-11-01

Department:

Systèmes de Communication

Eurecom Ref:

2113

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