低信噪比下非数据辅助的OFDM系统信道阶数和噪声方差的估计

doi:10.11999/JEIT150599

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Abstract

This paper proposes a new Non-Data-Aided (NDA) scheme to estimate the channel order and noise variance in the low Signal to Noise Ratio (SNR) region of Orthogonal Frequency Division Multiplexing (OFDM) signals. In this scheme, a new cost function is derived based on the joint Maximum Geometric Mean (MGM) which relies on both the Cyclic Prefix (CP) redundancy and channel memory. Compared with the schemes which only rely on the CP, more accurate estimations of channel order and noise variance can be obtained from this joint MGM cost function. Simulation results show that the proposed channel order estimator gets approximately 10 dB SNR gain in the low SNR region. Meanwhile, the proposed noise variance estimator outperforms significantly the other existing NDA algorithms, and suppresses the performance deterioration when SNR below 20 dB.

Key words： OFDM Channel order and noise variance estimation Low SNR Non-Data-Aided (NDA) Joint Maximum Geometric Mean (MGM)

Received: 21 May 2015 Published: 18 December 2015

PACS:

TN92

Fund:

Natural Science Foundation of Tianjin (14JCYBJC16100)

Corresponding Authors: ZHAO Jiaxiang E-mail: zhaojx@nankai.edu.cn

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	WANG Dong
	ZHAO Jiaxiang
	YU Lihong

Cite this article:

WANG Dong,ZHAO Jiaxiang,YU Lihong. The Non-data-aided Channel Order and Noise Variance Estimation in the Low SNR Region of OFDM Signals[J]. JEIT, 2016, 38(2): 276-281.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT150599 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I2/276

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