分层的最大值一个 posteriori (L 地图) 算法被建议了选择褪色在频率下面检测信号多重输入多重输出(MIMO ) 隧道。比作最佳地图察觉者, L 地图算法能高效地识别信号位,和复杂性与输入天线的数字线性地成长。L 地图的基本想法是与最佳操作每条输入亚溪流由假设另外的溪流是 Gaussian 噪音独立印射顺序的察觉者。软产量能也为反复的译码被提交给外部隧道解码器。建议方法能在不同隧道下面与重复的一个小数字集成的模拟结果表演为等级缺乏的隧道调节并且超过另外的亚最佳察觉者。
The layered maximum a posteriori (L-MAP) algorithm has been proposed to detect signals under frequency selective fading multiple input multiple output (MIMO) channels. Compared to the optimum MAP detector, the L-MAP algorithm can efficiently identify signal bits, and the complexity grows linearly with the number of input antennas. The basic idea of L-MAP is to operate on each input sub-stream with an optimum MAP sequential detector separately by assuming the other streams are Gaussian noise. The soft output can also be forwarded to outer channel decoder for iterative decoding. Simulation results show that the proposed method can converge with a small number of iterations under different channel conditions and outperforms other sub-optimum detectors for rank-deficient channels.