基于功率分离接收机方案的低复杂度信号检测算法

doi:10.11959/j.issn.1000-436x.2024073

通信学报 ›› 2024, Vol. 45 ›› Issue (4): 84-94.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

王艳艳¹, 李启迪², 唐小虎¹

^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

收稿日期:2023-12-06 修回日期:2024-02-23 出版日期:2024-04-30 发布日期:2024-05-27
作者简介:王艳艳（1989- ），女，山东嘉祥人，博士，西南交通大学讲师，主要研究方向为接收机设计、通信信号处理等。
李启迪（1998- ），女，山东梁山人，通号城市轨道交通技术有限公司助理工程师，主要研究方向为通信中的信号处理等。
唐小虎（1972- ），男，四川绵竹人，博士，西南交通大学教授、博士生导师，主要研究方向为编码理论、网络安全、分布式存储和大数据信息处理等。
基金资助:
国家自然科学基金资助项目(62201476);四川省自然科学基金资助项目(2022NSFSC0910)

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

Yanyan WANG¹, Qidi LI², Xiaohu TANG¹

^1.School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China
^2.CRSC Urban Rail Transit Technology Co. , Ltd. , Beijing 100070, China

Received:2023-12-06 Revised:2024-02-23 Online:2024-04-30 Published:2024-05-27
Supported by:
The National Natural Science Foundation of China(62201476);The Natural Science Foundation of Sichuan Province(2022NSFSC0910)

摘要/Abstract

摘要：

为了解决基于分离接收机架构下的移动通信系统中信号检测复杂度较高的问题，提出一种低复杂度的信号检测算法。首先，考虑天线噪声、后级处理噪声和功率分离因子的影响，设计分离接收机架构，并基于三维接收信号建立简化的二维接收信号模型。然后，在变换坐标系下表征二维接收信号的联合概率密度函数，进而提出基于最小距离的低复杂度的信号检测算法。最后，分析分离接收机方案相对于传统相干接收机的联合处理增益。理论分析表明，相比于传统的基于三维接收信号的检测算法，所提信号检测算法具有较低的计算复杂度。仿真结果表明，在一定的功率分离因子下，低复杂度信号检测所获得的近似误符号率（SER）与最优的SER性能接近，且分离接收机架构下的SER性能优于传统的相干接收机方案。

关键词: 分离接收机, 信号检测, 相干接收机, 功率分配

Abstract:

To address the issue of high signal detection complexity in mobile communication systems based on the splitting 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 receiver, 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.

Key words: splitting receiver, signal detection, coherent receiver, power allocation

中图分类号:

TN929.5

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.

Yanyan WANG, Qidi LI, Xiaohu TANG. Low-complexity signal detection algorithm for the power splitting receiver scheme[J]. Journal on Communications, 2024, 45(4): 84-94.

图/表 10

图1

表1

系统参数"

参数	含义
$h ˜$	无线衰落信道
$W ˜$	等效天线噪声
$σ A 2$	$W ˜$ 的方差
$Z ˜$	相干检测电路引入的噪声
$σ c o v 2$	$Z ˜$ 的方差
$N$	非相干检测电路引入的等效噪声
$σ r e c 2$	$N$ 的方差
$X ˜$	发射信号
$P$	发射信号功率
$ρ$	功率分离因子
$η$	ND电路射频信号变换为直流信号的转换效率
$M$	调制星座点的个数
$G S E R$	分离接收机方案的联合处理增益
$P c d$	相干接收机方案下的SER
$P s p$	分离接收机方案下的SER

表1

图2

表2

表3

仿真参数"

参数	取值
功率分离因子 $ρ$	$[0,1]$
调制方式	APSK、QAM
调制阶数 $M$	32、64
信道模型	瑞利衰落信道
对比信号检测算法	三维 ML信号检测
所提信号检测算法	低复杂度信号检测

表3

图3

图4

图5

图6

图7

参考文献 23

1	钱志鸿, 肖琳, 王雪. 面向未来移动网络密集连接的关键技术综述[J]. 通信学报, 2021, 42(4): 22-43.
	QIAN Z H, XIAO L, WANG X. Review on strategic technology of dense connection for the future mobile network[J]. Journal on Communications, 2021, 42(4): 22-43.
2	赵亚军, 郁光辉, 徐汉青. 6G移动通信网络: 愿景、挑战与关键技术[J]. 中国科学: 信息科学, 2019, 49(8): 963-987.
	ZHAO Y J, YU G H, XU H Q. 6G mobile communication networks: vision, challenges, and key technologies[J]. Scientia Sinica (Informationis), 2019, 49(8): 963-987.
3	王艳艳. 基于非均匀子带叠加的传输技术研究[D]. 成都: 电子科技大学, 2019.
	WANG Y Y. Non-uniform subband superposition based transmission technologies[D]. Chengdu: University of Electronic Science and Technology of China, 2019.
4	SHAFI M, MOLISCH A F, SMITH P J, et al. 5G: a tutorial overview of standards, trials, challenges, deployment, and practice[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(6): 1201-1221.
5	HE N, TEPEDELENLIOGLU C. Performance analysis of non-coherent UWB receivers at different synchronization levels[J]. IEEE Transactions on Wireless Communications, 2006, 5(6): 1266-1273.
6	KAMMOUN I, CIPRIANO A M, BELFIORE J C. Non-coherent codes over the Grassmannian[J]. IEEE Transactions on Wireless Communications, 2007, 6(10): 3657-3667.
7	JUNG P, BLANZ J. Joint detection with coherent receiver antenna diversity in CDMA mobile radio systems[J]. IEEE Transactions on Vehicular Technology, 1995, 44(1): 76-88.
8	BLANZ J, KLEIN A, NASSHAN M, et al. Performance of a cellular hybrid C/TDMA mobile radio system applying joint detection and coherent receiver antenna diversity[J]. IEEE Journal on Selected Areas in Communications, 1994, 12(4): 568-579.
9	FARUK M S, KIKUCHI K. Compensation for in-phase/quadrature imbalance in coherent-receiver front end for optical quadrature amplitude modulation[J]. IEEE Photonics Journal, 2013, 5(2): 7800110.
10	ZHU X, MURCH R D. Performance analysis of maximum likelihood detection in a MIMO antenna system[J]. IEEE Transactions on Communications, 2002, 50(2): 187-191.
11	AMMARI M L, FORTIER P. Low complexity ZF and MMSE detectors for the uplink MU-MIMO systems with a time-varying number of active users[J]. IEEE Transactions on Vehicular Technology, 2017, 66(7): 6586-6590.
12	KIM D, KIM H M, IM G H. Soft log likelihood ratio replacement for low-complexity maximum-likelihood detection[J]. IEEE Communications Letters, 2012, 16(3): 296-299.
13	LIU W C, ZHOU X Y, DURRANI S, et al. A novel receiver design with joint coherent and non-coherent processing[J]. IEEE Transactions on Communications, 2017, 65(8): 3479-3493.
14	WANG Y Y, LIU W C, ZHOU X Y, et al. On the performance of splitting receiver with joint coherent and non-coherent processing[J]. IEEE Transactions on Signal Processing, 2020, 68: 917-930.
15	WANG Y Y, LIU W C, ZHOU X Y. Splitting receiver with joint envelope and coherent detection[J]. IEEE Communications Letters, 2022, 26(6): 1328-1332.
16	WANG Q Q, GUAN Q S, CHENG J L, et al. A splitting-detection joint-decision receiver for ultrasonic intra-body communications[J]. IEEE Transactions on Communications, 2021, 69(6): 3586-3597.
17	GOLDSMITH A. Wireless communications[M]. Cambridge: Cambridge University Press, 2005.
18	VAN D B A. The multivariate complex normal distribution-a generalization[J]. IEEE Transactions on Information Theory, 1995, 41(2): 537-539.
19	ANTON h. elementary linear algebra: applications Version[M]. New Jersey: John Wiley & Sons, 2010.
20	TSE D, VISWANATH P. Fundamentals of wireless communication[M]. Cambridge: Cambridge University Press, 2005.
21	HAMANO T, TAKAGI N, YAJIMA S, et al. O(n)-depth modular exponentiation circuit algorithm[J]. IEEE Transactions on Computers, 1997, 46(6): 701-704.
22	HAGER C, GRAELL I A A, ALVARADO A, et al. Design of APSK constellations for coherent optical channels with nonlinear phase noise[J]. IEEE Transactions on Communications, 2013, 61(8): 3362-3373.
23	FARRAR C R, WORDEN K. Introduction to probability and statistics[M]. New Jersey: John Wiley & Sons, 2012.

[1]	季薇, 杨许鑫, 李飞, 李汀, 梁彦, 宋云超. 无人机辅助MEC系统中基于最优SIC顺序的能耗优化方案[J]. 通信学报, 2024, 45(2): 18-30.
[2]	唐述, 杨鹏, 谢显中, 周广义, 李佳庆, 赵瑜. 自适应聚类的图像块分级DCT混合数模无线传输方法[J]. 通信学报, 2024, 45(1): 152-166.
[3]	陈发堂, 刘小玲, 王丹, 张若凡. RIS辅助太赫兹频段车载网络容量优化[J]. 通信学报, 2023, 44(10): 103-111.
[4]	宋长庆, 赵宏志, 秦俪之, 邵士海. 频相失配下跳频保密通信性能分析与功率优化[J]. 通信学报, 2022, 43(9): 42-56.
[5]	马帅, 李兵, 盛海鸿, 谷荣妍, 周辉, 王洪梅, 王悦, 李世银. 基于深度强化学习的可见光定位通信一体化功率分配研究[J]. 通信学报, 2022, 43(8): 121-130.
[6]	孙钢灿, 吴新李, 郝万明, 朱政宇. 基于时延线阵列的毫米波NOMA系统混合预编码设计和功率分配[J]. 通信学报, 2022, 43(6): 179-188.
[7]	黄英, 万泽含, 雷菁, 赖恪. 基于QCSK的持续噪声式隐蔽传输方案[J]. 通信学报, 2022, 43(4): 123-132.
[8]	刘刚, 娄增进, 林勤华, 郭漪. 基于Newton迭代算法的低复杂度信号检测算法[J]. 通信学报, 2022, 43(2): 109-117.
[9]	孙长印, 刘李延, 江帆, 姜静. 基于DNN的Sub-6 GHz辅助毫米波网络功率分配算法[J]. 通信学报, 2021, 42(9): 184-193.
[10]	杨君一, 李博, 张钦宇. 基于物理层网络编码的无人机中继网络资源优化[J]. 通信学报, 2021, 42(9): 12-20.
[11]	王雪, 刘京, 孙佳妮, 张继真, 钱志鸿. 基于谱聚类的异构蜂窝超密集网络高能效资源分配算法[J]. 通信学报, 2021, 42(7): 162-175.
[12]	李陶深, 孙莉, 王哲. 源节点电池容量受限的菱形信道最优传输策略[J]. 通信学报, 2021, 42(6): 158-170.
[13]	李陶深, 施安妮, 王哲, 何璐. 基于SWIPT的吞吐量最优化NOMA全双工中继选择策略[J]. 通信学报, 2021, 42(5): 87-97.
[14]	孙钢灿, 赵少柯, 郝万明, 朱政宇. 基于短包通信的NOMA下行链路安全传输[J]. 通信学报, 2021, 42(2): 168-176.
[15]	徐朝农,吴建雄,徐勇军. 时延有界的PD-NOMA物联网高可靠接入算法[J]. 通信学报, 2020, 41(9): 210-221.

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

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 23

相关文章 15

Metrics

推荐阅读 0