Channel Information Estimation and Data Detection for MIMO-OFDM Systems under Unknown Narrowband Interference

被引：0

作者：

The-Hanh Pham ^{[1
]}

Liang, Ying-Chang ^{[1
]}

Zeng, Yonghong ^{[1
]}

Pei, Yiyang ^{[1
]}

Hu, Fengye ^{[2
]}

机构：

[1] ASTAR, Inst Infocomm Res, Singapore, Singapore

[2] Jilin Univ, Changchun 130122, Peoples R China

来源：

2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2013年

关键词：

D O I：

暂无

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：

In this paper we consider multi-input multi-output (MIMO) orthogonal frequency-division multiplexing (OFDM)-based systems under unknown narrow-band interference (NBI). We propose an iterative receiver to jointly estimate the channel information, which consists of channel coefficients and noise-plus-interference variances of each sub-carrier, and detect the transmitted signals. The simulation results show that our proposed receiver provides a close bit-error-rate (BER) to that of the case where perfect channel information is available at the receiver. Besides, Cramer-Rao lower bound (CRLB) of interested parameters are also derived. The mean-square-error (MSE) of the estimated parameters given by our proposed algorithm reaches the CRLB.

引用

页码：3958 / 3963

页数：6

共 18 条

[1] OPTIMAL DECODING OF LINEAR CODES FOR MINIMIZING SYMBOL ERROR RATE [J].