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针对传统均衡算法复杂度高、收敛速度慢的问题,提出了一种基于长方阻塞矩阵的多级Wiener降秩联合检测算法,其中的多级Wiener滤波器通过相关相减结构来实现,即酉多级Wiener滤波器.该算法选取酉多级Wiener滤波器阻塞矩阵中的一个长方子阵作为阻塞矩阵,使得酉多级Wiener滤波器前向递推分解中接收信号向量的维数逐级降低,从而在降低了均衡的迭代复杂度的同时,加快了算法的收敛速度.理论分析和仿真结果表明,基于长方阻塞矩阵的酉多级Wiener联合检测算法具有复杂度低、收敛速度快的优点.在具有4根发射天线、8根接收天线,并且采用BPSK调制的V-BLAST(vertical Bell labs layered space-time)系统中,采用本算法仅用基于酉多级Wiener滤波的均衡算法一半的计算复杂度在高信噪比处即可达到与其相同的误码性能.
Aiming at the problem of high complexity and slow convergence speed of traditional equalization algorithm, a multi-level Wiener rank reduction detection algorithm based on rectangular blocking matrix is proposed, in which the multilevel Wiener filter is realized by correlation subtraction structure A multi-stage Wiener filter is proposed in this paper, which takes a rectangular matrix in a blocking matrix of a unitary multistage Wiener filter as a blocking matrix, so that the dimension of the received signal vector in the forward recursive decomposition of the unitary multistage Wiener filter is reduced step by step , Thus reducing the iterative complexity and speeding up the convergence of the algorithm.Theoretical analysis and simulation results show that the unitary multistage Wiener joint detection algorithm based on the rectangular blocking matrix has the advantages of low complexity and fast convergence In the V-BLAST (vertical Bell labs layered space-time) system with 4 transmit antennas and 8 receive antennas, this algorithm uses only half of the equalization algorithm based on unitary multistage Wiener filtering Complexity at high signal to noise ratio can be achieved with the same error performance.