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

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

作者机构：Department of Aerospace Engineering Tsinghua University Beijing 100084 China Tsinghua Space Center Tsinghua University Beijing 100084 China Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications Beijing 100876 China Beijing National Research Center for Information Science and Technology Beijing 100084 China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2019年第16卷第7期

页      面：49-60页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：China Scholarship Council  CSC 

主　　题：joint channel estimation and symbol detection message passing OFDMA 

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)*** channel estimation and symbol detection leverage the framework of expectation propagation(EP)and belief propagation(BP)with the aid of Gaussian approximation,***,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 *** 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.