一种基于ZP-OTFS的低复杂度SSOR检测算法OA北大核心

To solve the problem that the linear minimum mean square error(LMMSE)detection complexity of orthogonal time frequency space(OTFS)system is too high to be realized quickly and effectively in high-speed mobile scenes,a block-by-block Symmetric Successive over Relaxation(SSOR)iterative algorithm is proposed based on the block-diagonal sparsity of the time-domain channel matrix of zero-padding(ZP)OTFS system.The system complexity is reduced and the performance is similar to that of LMMSE detection.Simulation results show that compared with Successive over Relaxation(SOR)algorithm,the proposed algorithm is not sensitive to the relaxation parameter and has faster convergence speed.When the number of iterations is 10,the bit error performance of the proposed algorithm almost reaches the LMMSE bit error performance,which significantly reduces the complexity of the detector.