Maximum Likelihood Based Channel Delay Estimation with Limited Number of Samples Using Diagonal Matrix Approximation

Document Type

Article

Publication Date

12-1-2003

Abstract

To achieve fast and computationally simplified channel estimation, we propose a maximum likelihood estimation (MLE) based "diagonal matrix approximation" (DMA) scheme which provides an effective solution to overcome the conflict between estimation accuracy, acquisition time, and complexity. Together with over sampling, the proposed scheme exhibits a performance approaching the Cramér-Rao Lower Bound (CRLB), while keeping computational complexity linear to the signal dimensions. The DMA scheme can still perform well even when the sample estimate of the covariance matrix, due to insufficient number of observation samples, is singular. Therefore, the proposed scheme is a viable solution for fast channel estimation.

Identifier

0942278603 (Scopus)

Publication Title

Wireless Personal Communications

External Full Text Location

https://doi.org/10.1023/B:WIRE.0000010146.60266.4e

ISSN

09296212

First Page

183

Last Page

194

Issue

3

Volume

27

Grant

9903381

Fund Ref

National Science Foundation

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