摘要
针对新一代无线通信技术应用中对低能耗、低算力的应用需求,提出一种基于循环子向量优化(CSVO)算法的低复杂度波束成形接收机设计。CSVO算法根据最小均方误差(MMSE)准则推导产生,特点是在波束成形中可以灵活地选择拟优化波束向量的维度大小,降低计算复杂度。文中基于CSVO算法,以ZC706套件和AD9361射频收发器为基础,实现了一套四天线阵元基带波束成形接收机设计方案。实验测试结果表明,实现的接收机波束成形增益接近理论值,验证了CSVO算法的可行性和有效性。实验结果进一步展示,与其他传统的几种波束成形算法相比,在达到同样性能的条件下,CSVO算法所需乘法次数更少,且收敛速度更快。
Design of a low complexity beamforming receiver based on cyclic sub vector optimization(CSVO)algorithm is proposed to meet the application requirements of low energy consumption and low computing power in the new generation wireless communication technology.The CSVO algorithm is derived according to the minimum mean square error(MMSE)criterion,whose characteristics are that the dimension size of the pseudo⁃optimized beam vector can be selected flexibly in the beamforming process and the computational complexity can be reduced.The design scheme of the four⁃element antenna array baseband beamforming receiver is realized on the basis of CSVO algorithm,ZC706 package and AD9361 radio frequency transceiver.The experimental results show that the beamforming gain of the four⁃element antenna array receiver using the CSVO algorithm is close to the theoretical value,which verifies the feasibility and effectiveness of the CSVO algorithm.The experimental results further demonstrate that,in comparison with other traditional beamforming algorithms,the CSVO algorithm requires fewer multiplications,and has faster convergence speed under the same performance condition.
作者
李锐
华伟
周渊平
夏文龙
刘鹏
朱智坚
LI Rui;HUA Wei;ZHOU Yuanping;XIA Wenlong;LIU Peng;ZHU Zhijian(College of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China)
出处
《现代电子技术》
2023年第11期9-15,共7页
Modern Electronics Technique
基金
国家自然科学基金项目(61831004)。
关键词
波束成形接收机
循环子向量优化
系统模型
算法推导
天线阵列
实验分析
beamforming receiver
cyclic sub⁃vector optimization
system model
algorithm derivation
antenna array
experimental analysis
