LS-MIMO系统基于经典迭代法的低复杂度检测算法

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.

Low-Complexity Detection Based on Classical Iterative Method for LS-MIMO Systems

For the high computational complexity problem of minimum mean square error ( MMSE) detec-tion algorithm on large scale-multiple input multiple output ( LS-MIMO) systems, low complexity signal detection algorithm based on the classic iteration method was proposed, including the Jacobi iteration method, Gauss-Seidel iterative method and successive over relaxation iteration method. The proposed al-gorithm starts from the approximation of an exact solution, obtaining efficient and accurate solution in fe-wer iterations, and the computational complexity decline an order of magnitudes compared to MMSE de-tection algorithm. Simulation results show that the iterative detection algorithm can achieve bit error rate performance of approximate MMSE detection algorithm by limit iterations.