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机构地区:[1]南京航空航天大学信息科学与技术学院,南京210016
出 处:《南京航空航天大学学报》2005年第6期776-781,共6页Journal of Nanjing University of Aeronautics & Astronautics
基 金:江苏省自然科学基金(BK2003089)资助项目;南京航空航天大学引进人才科研基金(S0583-941)资助项目
摘 要:提出了一种基于三线性模型的多径信道中多用户检测和波达方向(Directionofarrival,DOA)估计联合处理方法。对阵列接收到的信号分析表明,阵列接收信号具有三线性模型特征。在分析单径信道中的三线性模型的基础上,研究了多径信道中阵列接收信号三线性模型,提出了一种改进的三线性交替最小二乘(Improvedtrilinearalternatingleastsquare,ITALS)算法,它可对多用户检测和DOA估计进行联合处理。该算法利用方向矩阵的Vandermonde特征、基于最小二乘法对方向矩阵进行重构和DOA估计。仿真结果说明,该方法具有较好的误码率性能、较快的收敛性能和精确的DOA估计性能。当DOA靠近90°时,DOA估计性能下降。Joint processing of the multiuser detection and the direction of arrival (DOA) estimation in a multipath channel based on the trilinear model is presented. The received signal of array antennas is analyzed. Result shows that the received signal has trilinear model characteristics. The trilinear model for receiving signals of the array antenna in the multipath channel is established according to the trilinear model in the single channel. An improved trilinear alternating least square (ITALS) algorithm is proposed to jointly detect the multiuser and DOA. In the algorithm the direction matrix is reconstructed and DOAs are estimated by Vandermonde characteristics of the direction matrix and the least square principle. Simulation results reveal that the algorithm has the better BER performance, the fast convergence speed, and more accurate DOA estimation performance. When DOA reaches 90°, its estimation performance degrades. The algorithm has blind and robust characteristics.
关 键 词:多用户检测 DOA估计 联合处理 空时处理 三线性方法
分 类 号:TN911.7[电子电信—通信与信息系统]
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