Non-data-aided signal-to-noise-ratio estimation

被引：69
|
作者：
Wiesel, A [1 ]
Goldberg, J [1 ]
Messer, H [1 ]
机构：
[1] Tel Aviv Univ, Dept Elect Engn Syst, IL-69978 Tel Aviv, Israel
来源：
2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS | 2002年
关键词：
D O I：
10.1109/ICC.2002.996844
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Non-data-aided (NDA) signal-to-noise-ratio (SNR) estimation is considered for binary phase shift keying systems where the data samples are governed by a normal mixture distribution. Inherent estimation accuracy limitations are examined via a simple, closed-form approximation to the associated Cramer-Rao Bound which eliminates the need for numerical integration. The Expectation-Maximization algorithm is proposed to iteratively maximize the NDA likelihood function. Simulation results show that the resulting estimator offers statistical efficiency over a wider range of scenarios than previously published methods.
引用
收藏
页码：197 / 201
页数：5
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