摘要
针对含最小均方误差滤波矩阵的球形检测算法在低信噪比时检测复杂度很高的问题,提出一种新的半径选择方法。改进算法在检测过程中,通过预先设置一个随信噪比自适应变化的收敛因子,使其在低信噪比环境下进一步降低检测复杂度,在高信噪比环境下能获得较优的检测性能。结果表明:低信噪比时,改进算法在基本保持原算法检测性能的基础上,显著降低了检测复杂度;高信噪比时,改进算法在保持原算法检测复杂度的同时也获得了其较优的检测性能。该研究为提高无线通信多输入多输出系统信号的检测提供了参考。
This paper proposes a novel radius selection method as an improved alternative to the spherical detection algorithm with minimum mean square error filtering matrix-an algorithm which suffers from a higher detection complexity at low signal-to-noise ratio.The improved detection algorithm works by presetting a convergence factor capable of the adaptive change with the signal-to-noise ratio,and providing a greater reduction in the detection complexity at low signal-to-noise ratio and obtaining a better performance at high signal to noise ratio.The results show that the improved algorithm provides not only a significant reduction in the detection complexity while ensuring the basic original detection performance at low signal-to-noise ratio,but also a superior detection performance while maintaining the complexity of the original algorithm detection at high signal-to-noise ratio;and the algorithm proves really effective.The research could provide a reference for improving the signal detection of wireless communication multi input and multi output system.
作者
江晓林
崔景岩
张广洲
Jiang Xiaolin;Cui Jingyan;Zhang Guangzhou(School of Electronic&Information Engineering,Heilongjiang University of Science&Technology,Harbin 150022,China)
出处
《黑龙江科技大学学报》
CAS
2018年第6期706-711,共6页
Journal of Heilongjiang University of Science And Technology
基金
黑龙江省自然科学基金面上项目(F2015017)
黑龙江省博士后基金项目(LBH-Z16054)
关键词
多输入多输出系统
信号检测
球形检测算法
收敛因子
multi input and multi output systems
signal detection algorithm
maximum likelihood detection algorithm
spherical detection algorithm
convergence factor
