太赫兹科学与电子信息学报, 2018, 16 (6): 1099, 网络出版: 2019-06-10  

基于V-MIMO系统的信号检测与最优权值搜索

Signal detection and optimal weights of search method based on V-MIMO system
作者单位
四川大学 电子信息学院,四川 成都 610065
摘要
介绍了虚拟多输入输出(V-MIMO)系统中在一根天线上发射多路信号时的信道估计、信号检测方法与最优权值的搜索算法。V-MIMO系统采用最小均方(LMS)算法2次进行信道估计,防止一帧数据中信道衰弱造成的信道估计误差,保证了信道估计的准确性;V-MIMO系统采用最大似然(ML)检测算法,提高了检测的准确性,降低了误码率;同时采用遍历和变步长breaklocal算法,分别针对较少用户和较多用户数据传输的情况搜索最优权值,降低了系统的计算复杂度。在2×2,1×2,2×3,2×4的实际测试中,在不增加功率和带宽的基础上,V-MIMO系统传输效率至少提高了70%,同时减少了发射天线的数量。
Abstract
Some algorithms in the Virtual-Multi-Input Multi-Output(V-MIMO) system by an antenna launching multiplexing data are introduced, such as channel estimation, signal detection method and the optimal weights of search algorithm. Firstly, the Least Mean Square(LMS) algorithm is applied to two channel estimation in V-MIMO system, to prevent the channel estimation error caused by the weakness in the data channel during a frame time, guaranteeing the accuracy of channel estimation. Secondly, V-MIMO system utilizes the Maximum Likelihood(ML) detection algorithm to improve the detection accuracy and reduce the bit error rate. Finally, the traversal algorithm and variable step breaklocal algorithm are adopted respectively for less users and more users data transmission to search the optimal weights, which reduce the computational complexity of the system in 2×2,1×2,2×3,2×4 of the actual test, V-MIMO system improve the transmission efficiency of at least 70% on the basis of invariable power and bandwidth, and reduce the number of the transmitting antenna.

刘权, 周渊平. 基于V-MIMO系统的信号检测与最优权值搜索[J]. 太赫兹科学与电子信息学报, 2018, 16(6): 1099. LIU Quan, ZHOU Yuanping. Signal detection and optimal weights of search method based on V-MIMO system[J]. Journal of terahertz science and electronic information technology, 2018, 16(6): 1099.

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