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广义空间调制系统近似最大似然检测算法

Suboptimal ML detection algorithm for generalized spatial modulation system
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摘要 针对广义空间调制系统有限激活天线组合的信号传输特点及最大似然检测算法计算复杂度高的问题,提出一种基于线性均衡的近似最大似然检测算法。在最小均方误差线性均衡的基础上进行部分最大似然检测,通过比较欧氏距离得到最终判决信号。在误码率性能轻微损失的前提下,该算法能够大幅降低算法复杂度,其优势在激活天线数目及调制阶数较大的情况下尤为明显。通过计算机蒙特卡洛仿真验证了该算法的有效性。 Aiming at the signal transmission features of limited active antennas' combinations and the high computational complexity problem of maximum likelihood(ML)algorithm,a suboptimal ML signal detection algorithm based on linear equalization was proposed for generalized spatial modulation(GSM)system.The final decision signal was obtained by comparing the Euclidean distances of partial ML based on the minimum mean square error(MMSE)linear equalization.It has low complexity with slight bite error rate(BER)performance loss,especially when the number of active antennas and the modulation order is large.Numerical simulation results are provided to validate the effectiveness of this proposed algorithm.
出处 《计算机工程与设计》 北大核心 2016年第6期1460-1463,共4页 Computer Engineering and Design
基金 国家自然科学基金项目(11202093) 江西省软科学研究计划基金项目(20133BBA10026)
关键词 空间调制 最大似然 线性均衡 计算复杂度 误码率 spatial modulation maximum likelihood linear equalization computational complexity bit error rate
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参考文献10

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