Low Complexity Minimum Mean Square Error Channel Estimation for Adaptive Coding and Modulation Systems

作     者：GUO Shuxia SONG Yang GAO Ying HAN Qianjin GUO Shuxia;SONG Yang;GAO Ying;HAN Qianjin

作者机构：Science and Technology on UAV Laboratory Northwestern Polytechnical University Xi'an 710065 China AVIC Xi'an Flight Automatic Control Research Institute Xi'an 710065 China College of Marine Engineering Northwestern Polytechnical University Xi'an 710072 China 

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

年 卷 期：2014年第11卷第1期

页      面：126-137页

核心收录：

学科分类：11[军事学] 080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 1105[军事学-军队指挥学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 110503[军事学-军事通信学] 

基　　金：supported by the 2011 China Aerospace Science and Technology Foundation the Certain Ministry Foundation under Grant No.20212HK03010 

主　　题：adaptive coding and modulation channel estimation minimum mean square error low-complexity minimum mean square error 

摘      要：Performance of the Adaptive Coding and Modulation(ACM) strongly depends on the retrieved Channel State Information(CSI),which can be obtained using the channel estimation techniques relying on pilot symbol *** analysis of methods of pilot-aided channel estimation for ACM systems were relatively *** this paper,we investigate the performance of CSI prediction using the Minimum Mean Square Error(MMSE)channel estimator for an ACM *** solve the two problems of MMSE:high computational operations and oversimplified assumption,we then propose the Low-Complexity schemes(LC-MMSE and Recursion LC-MMSE(R-LC-MMSE)).Computational complexity and Mean Square Error(MSE) are presented to evaluate the efficiency of the proposed *** analysis and numerical results show that LC-MMSE performs close to the wellknown MMSE estimator with much lower complexity and R-LC-MMSE improves the application of MMSE estimation to specific circumstances.