%0 Journal Article
%A LIANG Jing
%A QU Hua
%A WANG Wei-hua
%A ZHAO Ji-hong
%T Low-Complexity Detection Based on Classical Iterative Method for LS-MIMO Systems
%D 2016
%R 10.13190/j.jbupt.2016.04.016
%J Journal of Beijing University of Posts and Telecommunications
%P 83-86
%V 39
%N 4
%X For the high computational complexity problem of minimum mean square error(MMSE)detection 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 algorithm starts from the approximation of an exact solution, obtaining efficient and accurate solution in fewer iterations, and the computational complexity decline an order of magnitudes compared to MMSE detection algorithm. Simulation results show that the iterative detection algorithm can achieve bit error rate performance of approximate MMSE detection algorithm by limit iterations.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2016.04.016