How to use a priori information of data symbols for SNR estimation

被引：16

作者：

Dangl, Markus A. ^{[1
]}

Lindner, Juergen ^{[1
]}

机构：

[1] Univ Ulm, Dept Informat Technol, D-89081 Ulm, Germany

来源：

IEEE SIGNAL PROCESSING LETTERS | 2006年 / 13卷 / 11期

关键词：

a priori information; estimation; iterative decoding; maximum likelihood; signal-to-noise ratio (SNR);

D O I：

10.1109/LSP.2005.879478

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We address the problem of how to use a priori information of data symbols to improve signal-to-noise ratio (SNR) estimation. Digital transmission with binary phase-shift keying (BPSK) over additive white Gaussian noise (AWGN) channels serves as a background. At the receive side, both pilot and data symbols are used to estimate the SNR. In addition, we assume that a priori information of the data symbols is available. Our proposed estimator is then derived as an approximate solution of the maximum-likelihood (ML) approach. A significant improvement in the low-SNR regime over the corresponding estimator without a priori information is shown. Hence, an estimator that uses a priori information of data symbols is suitable to be embedded in iterative decoding schemes like, e.g., turbo decoding or turbo equalization. In addition, the Cramer-Rao lower bound (CRLB) for SNR estimators using a priori information of data symbols is derived.

引用

页码：661 / 664

页数：4

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