Low-Complexity Joint Channel Estimation and Symbol Detection for OFDMA Systems  

作　　者：Rui Xin Zuyao Ni Sheng Wu Linling Kuang Chunxiao Jiang 

机构地区：[1]Department of Aerospace Engineering, Tsinghua University, Beijing 100084, China [2]Tsinghua Space Center, Tsinghua University, Beijing 100084, China [3]Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China [4]Beijing National Research Center for Information Science and Technology, Beijing 100084, China

出　　处：《China Communications》2019年第7期49-60,共12页中国通信（英文版）

摘　　要：In this paper,we propose a joint channel estimation and symbol detection(JCESD)algorithm relying on message-passing algorithms(MPA)for orthogonal frequency division multiple access(OFDMA)systems.The channel estimation and symbol detection leverage the framework of expectation propagation(EP)and belief propagation(BP)with the aid of Gaussian approximation,respectively.Furthermore,to reduce the computation complexity involved in channel estimation,the matrix inversion is transformed into a series of diagonal matrix inversions through the Sherman-Morrison formula.Simulation experiments show that the proposed algorithm can reduce the pilot overhead by about 50%,compared with the traditional linear minimum mean square error(LMMSE)algorithm,and can approach to the bit error rate(BER)performance bound of perfectly known channel state information within 0.1 dB.In this paper, we propose a joint channel estimation and symbol detection(JCESD) algorithm relying on message-passing algorithms(MPA) for orthogonal frequency division multiple access(OFDMA) systems. The channel estimation and symbol detection leverage the framework of expectation propagation(EP) and belief propagation(BP) with the aid of Gaussian approximation, respectively. Furthermore, to reduce the computation complexity involved in channel estimation, the matrix inversion is transformed into a series of diagonal matrix inversions through the Sherman-Morrison formula. Simulation experiments show that the proposed algorithm can reduce the pilot overhead by about 50%, compared with the traditional linear minimum mean square error(LMMSE) algorithm, and can approach to the bit error rate(BER) performance bound of perfectly known channel state information within 0.1 dB.

关 键 词：JOINT channel estimation and SYMBOL detection MESSAGE PASSING OFDMA 

分 类 号：TN[电子电信]