摘要
针对传统双期望传播算法(DEP)中矩阵求逆运算引起的计算复杂度高问题,提出一种基于改进诺伊曼级数(NSE)近似的双期望传播算法(DEP-INSE),该算法通过执行少量NSE级数项的近似矩阵求逆在降低计算复杂度的同时,保证良好收敛和误码率性能。仿真结果表明,DEP-INSE仅需少量INSE项就可获得比现有方法更好的性能,保证了性能和复杂度的折衷。
In the conventional double expectation propagation algorithm, the matrix inversion operation increased the computational complexity.To solve this problem, a low-complexity DEP with improved Neumann series expansion(DEP-INSE) detector was proposed by employing INSE to estimate the inverse matrices.Simulation results show that the proposed scheme with only a few INSA terms can get improvement performance, which assures enhanced performance and complexity trade-off.
作者
刘涛
赵中华
杨艺敏
LIU Tao;ZHAO Zhong-hua;YANG Yi-min(School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,China;School of Electronic Information and Automation,Guilin University of Aerospace Technology,Guilin 541004,China)
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2022年第4期1053-1060,共8页
Journal of Guangxi University（Natural Science Edition）
基金
国家自然科学基金项目(61961008)
广西创新驱动发展重大专项(桂科AA18242030)。
关键词
多输入多输出系统
迭代检测
双期望传播
诺伊曼级数
multiple input multiple output system
iterative detection
double expectation propagation
Neumann series expansion
