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基于功率分离接收机方案的低复杂度信号检测算法

王艳艳 李启迪 唐小虎

通信学报2024,Vol.45Issue(4):84-94,11.
通信学报2024,Vol.45Issue(4):84-94,11.DOI:10.11959/j.issn.1000-436x.2024073

基于功率分离接收机方案的低复杂度信号检测算法

Low-complexity signal detection algorithm for the power splitting receiver scheme

王艳艳 1李启迪 2唐小虎1

作者信息

  • 1. 西南交通大学信息科学与技术学院,四川 成都 611756
  • 2. 通号城市轨道交通技术有限公司,北京 100070
  • 折叠

摘要

Abstract

To address the issue of high signal detection complexity in mobile communication systems based on the split-ting receiver architecture,a low-complexity signal detection algorithm was proposed.Firstly,considering the influence of antenna noise,post-processing noises,and power splitting factor,a splitting receiver architecture was designed,and a simplified two-dimensional received signal model was further established.Then,by characterizing the joint probability density function of the two-dimensional received signal in the transformed coordinate system,a low complexity signal detection algorithm based on the minimum distance was achieved.Finally,compared to the conventional coherent re-ceiver,the joint processing gain of the splitting receiver scheme was analyzed.Theoretical analysis demonstrates that the proposed signal detection algorithm has lower computational complexity compared to the traditional signal detection schemes based on three-dimensional received signals.Simulation results show that the approximation SER achieved by the low-complexity signal detection is very close to that of the accurate SER at a certain power splitting ratio.Also,the splitting receiver can achieve an improved SER performance compared to the conventional coherent receiver.

关键词

分离接收机/信号检测/相干接收机/功率分配

Key words

splitting receiver/signal detection/coherent receiver/power allocation

分类

信息技术与安全科学

引用本文复制引用

王艳艳,李启迪,唐小虎..基于功率分离接收机方案的低复杂度信号检测算法[J].通信学报,2024,45(4):84-94,11.

基金项目

国家自然科学基金资助项目(No.62201476) (No.62201476)

四川省自然科学基金资助项目(No.2022NSFSC0910)The National Natural Science Foundation of China(No.62201476),The Natural Science Foundation of Sichuan Province(No.2022NSFSC0910) (No.2022NSFSC0910)

通信学报

OA北大核心CSTPCD

1000-436X

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