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针对大规模多输入多输出(LS-MIMO)系统最小均方误差(MMSE)检测算法计算复杂度高的问题,提出了基于经典迭代法的低复杂度信号检测算法,包括Jacobi迭代法、高斯-赛德尔迭代法和逐次超松弛迭代法.从精确解的近似值出发,在较少的迭代次数中可获得高效而精确的解,而且计算复杂度相比MMSE检测算法下降一个数量级.仿真结果表明,迭代检测算法经过有限的迭代能够达到近似MMSE检测算法的误码率性能.
To solve the problem of high computational complexity of MMSE detection algorithm in large-scale multiple-input multiple-output (LS-MIMO) system, a low-complexity signal detection algorithm based on classical iterative method is proposed, including Jacobi iterative method, Gaussian- Seidel iteration method and successive over relaxation iteration method.According to the approximation of exact solution, an efficient and accurate solution can be obtained with fewer iterations and the computational complexity is reduced by an order of magnitude compared with the MMSE detection algorithm.The simulation results show that, Iterative detection algorithm through a limited number of iterations to achieve approximate MMSE detection algorithm BER performance.