摘要
针对传统信号检测算法无法有效应对子载波间干扰问题,提出了一种基于高斯赛德尔算法改进的迭代并行干扰消除信号检测算法。该算法首先利用自适应迭代的高斯塞德尔算法获取待检测信号的粗略估计;然后利用迭代并行干扰消除算法对初始解进行迭代优化,并在迭代过程中引入提前更新机制。仿真结果表明,在长期演进—车联万物通信系统中,该算法的检测性能超过了传统初始解的迭代并行干扰消除算法,逼近最优初始解算法性能。这种算法以较低的计算复杂度达到了较好的检测性能,为长期演进—车联万物系统信号检测算法的设计提供新思路。
Aiming at the traditional signal detection algorithms that cannot effectively deal with the inter carrier interference problem,this paper proposes an improved iterative parallel interference cancellation signal detection algorithm based on the Gauss Seidel algorithm.The proposed algorithm first uses the Gaussian Seidel algorithm with adaptive iterations to obtain the rough estimation of the signal to be detected,and then uses the iterative parallel interference cancellation algorithm to iteratively optimize the initial solution,and introduces the early update mechanism in the iterative process.Simulation results show that the detection performance of the proposed algorithm is better than that of the traditional iterative parallel interference cancellation algorithm in LTE-V2X communication systems,and approaches the performance of the optimal initial solution algorithm.The algorithm proposed in this paper achieves a better detection performance with a lower computational complexity,which provides a new idea for the design of the signal detection algorithm for LTE-V2X systems.
作者
廖勇
孙宁
王帅
陈颖
LIAO Yong;SUN Ning;WANG Shuai;CHEN Ying(School of Microelectronics and Communication Engineering,Chongqing University,Chongqing 400044,China)
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2021年第3期1-8,共8页
Journal of Xidian University
基金
国家自然科学基金(61501066)
重庆市自然科学基金(cstc2019jcyj-msxmX0017)。
关键词
长期演进—车联万物
信号检测
单载波频分多址
子载波间干扰
long term evolution-vehicle to everything
signal detection
single-carrier frequency division multiple access
inter carrier interference
