Blind noise variance and SNR estimation for OFDM systems based on information theoretic criteria

被引：15
|
作者：
Wang, Kun [1 ]
Zhang, Xianda [1 ]
机构：
[1] Tsinghua Univ, Dept Automat, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China
来源：
SIGNAL PROCESSING | 2010年 / 90卷 / 09期
基金：
中国国家自然科学基金;
关键词：
OFDM; Noise variance estimation; SNR estimation; MDL; AIC; SIGNALS;
D O I：
10.1016/j.sigpro.2010.03.007
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：
Blind noise variance and SNR estimators based on information theoretic criteria for orthogonal frequency division multiplexing (OFDM) systems are proposed in this paper. By using the redundancy induced by the cyclic-prefix, the unknown channel order is estimated via minimum length description (MDL) or Akaike information criterion (AIC), and the noise variance and SNR can be obtained subsequently. The proposed methods do not require any pilot symbols and therefore improve the spectrum efficiency. Simulation results are presented to highlight the benefit of the proposed algorithms compared with the other existing blind methods. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：2766 / 2772
页数：7
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