The non-data-aided noise variance estimation in the low SNR region of OFDM signals

被引：0

作者：

Wang, Dong ^{[1
]}

Zhao, Jiaxiang ^{[2
]}

机构：

[1] College of Computer and Control Engineering, Nankai University, Tianjin

[2] College of Electronic Information and Optical Engineering, Nankai University, Tianjin

来源：

Journal of Computational Information Systems | 2015年 / 11卷 / 21期

关键词：

Low SNR; Multipath channel memory; NDA; Noise variance estimation; OFDM;

D O I：

10.12733/jcis16128

中图分类号：

学科分类号：

摘要：

In this paper, a novel scheme is developed to improve the accuracy of the non-data-aided (NDA) noise variance estimation in the low signal to noise ratio (SNR) region of orthogonal frequency division multiplexing (OFDM) signals. To achieve this, a novel cost function is derived based on the combined Akaike information criterion which not only relies on the cyclic prefix (CP)-induced redundancy but also utilizes the multipath channel memory. In contrast with the schemes which only rely on the information from the CP-induced redundancy, a more accurate noise variance estimation can be obtained from this cost function in the low SNR region. Simulations show that the proposed noise variance estimator outperforms significantly the other existing NDA algorithms. Copyright © 2015 Binary Information Press.

引用

页码：7941 / 7949

页数：8

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