Chaotic-mapping and Gaussian perturbation-based multi-channel constant modulus blind equalization

HU Shuang; FENG Jiao; ZHANG Zhizhong; LI Peng; ZHOU Hua

doi:10.11959/j.issn.1000-0801.2025101

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Chaotic-mapping and Gaussian perturbation-based multi-channel constant modulus blind equalization

Research and Development | 更新时间：2025-06-03

- Chaotic-mapping and Gaussian perturbation-based multi-channel constant modulus blind equalization
- Telecommunications Science Vol. 41, Issue 5, Pages: 96-106(2025)
- 作者机构：
  
  南京信息工程大学电子与信息工程学院，江苏南京 210044
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2022YFB2902100);Jiangsu Key Research and Development Program(BE2023088)
- DOI：10.11959/j.issn.1000-0801.2025101
  CLC： TN911.5
- Received：17 December 2024，
  
  Revised：2025-02-25，
  
  Published：20 May 2025
- 稿件说明：
移动端阅览
胡爽,冯姣,张治中等.基于混沌映射和高斯扰动的多通道恒模盲均衡[J].电信科学,2025,41(05):96-106.

HU Shuang,FENG Jiao,ZHANG Zhizhong,et al.Chaotic-mapping and Gaussian perturbation-based multi-channel constant modulus blind equalization[J].Telecommunications Science,2025,41(05):96-106.
胡爽,冯姣,张治中等.基于混沌映射和高斯扰动的多通道恒模盲均衡[J].电信科学,2025,41(05):96-106. DOI： 10.11959/j.issn.1000-0801.2025101.

HU Shuang,FENG Jiao,ZHANG Zhizhong,et al.Chaotic-mapping and Gaussian perturbation-based multi-channel constant modulus blind equalization[J].Telecommunications Science,2025,41(05):96-106. DOI： 10.11959/j.issn.1000-0801.2025101.

摘要

在多通道信道仿真系统中，通道之间幅相不一致会使系统性能恶化，因此通道均衡技术必不可少。与传统的均衡器设计不同，盲均衡算法无须训练序列，提高了系统效率，不干扰仿真流程。基于粒子群优化的改进恒模盲均衡算法是一种新的盲均衡算法，引入粒子群算法寻找均衡器的最优解，提高了算法的收敛速度。然而该算法对初始参数敏感，容易陷入局部最优，恒定权重和学习因子会使算法稳态均方误差变大，局部和全局搜索能力不均。针对上述问题，提出了一种基于混沌映射和高斯扰动的改进粒子群恒模盲均衡算法。经过仿真验证，所提算法性能有所提升。对算法初期设置的参数敏感性降低；稳定后的适应度降低0.011；在误码率达到

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2.53999996

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=82399609&type=

5.58799982

量级时，信噪比相较于传统算法降低更多；均方误差降低1.77 dB；码间干扰降低0.64 dB。此外，对比了不同的惯性权重方案，进一步验证了所提算法收敛速度更快，码间干扰更低。

Abstract

In multi-channel communication simulation systems

inconsistencies in amplitude and phase between channels can degrade system performance

making channel equalization technology essential. Unlike traditional equalizer designs

blind equalization algorithms do not require training sequences

improving system efficiency and not interfering with the simulation process. The improved constant modulus blind equalization algorithm based on particle swarm optimization is a new blind equalization method that introducing particle swarm optimization to find the optimal solution for the equalizer

thereby improving the convergence speed of the algorithm. However

this algorithm is sensitive to initial parameters and is prone to get stuck in local opti

mum. Constant weights and learning factors can increase the steady-state mean square error

resulting in uneven local and global search capabilities. To address these issues

an improved particle swarm constant modulus blind equalization algorithm based on chaotic-mapping and Gaussian perturbation was proposed. After simulation verification

the performance of the proposed algorithm has been improved. The sensitivity to parameters set in the early stages of the algorithm is reduced. The fitness decreases by 0.011 after stabilization. When the symbol error rate reaches

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=82399624&type=

2.53999996

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=82399601&type=

5.58799982

level

the signal-to-noise ratio decreases more compared to traditional algorithms. The mean square error is reduced by 1.77 dB

and intersymbol interference is reduced by 0.64 dB. In addition

by comparing different inertia weight schemes

it is further verified that the proposed algorithm achieves faster convergence speed and lower inter-symbol interference.

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references

汪争志 , 杨志伟 , 范志豪 . 基于响应估计频域拟合的通道均衡方法 [J ] . 系统工程与电子技术 , 2022 , 44 ( 3 ): 713 - 721 .

WANG Z Z , YANG Z W , FAN Z H . Channel equalization method based on response estimation and frequency domain fitting [J ] . Systems Engineering and Electronics , 2022 , 44 ( 3 ): 713 - 721 .

MEI R R , WANG Z G , HU W R . Robust blind equalization algorithm using convolutional neural network [J ] . IEEE Signal Processing Letters , 2022 , 29 : 1569 - 1573 .

YANG L , HAN Q , DU J , et al . Online blind equalization for QAM signals based on prediction principle via complex echo state network [J ] . IEEE Communications Letters , 2020 , 24 ( 6 ): 1338 - 1341 .

QIN F , ZHU T L , LIU H , et al . CMA blind equalization algorithm based on linear fitting [C ] // Proceedings of the 2022International Symposium on Networks, Computers and Communications (ISNCC) . Piscataway : IEEE Press , 2022 : 1 - 5 .

WANG L , WEI H W . A new blind equalization algorithm based on data reusing [C ] // Proceedings of the 2022 IEEE 22nd International Conference on Communication Technology (ICCT) . Piscataway : IEEE Press , 2022 : 1889 - 1892 .

胡婉如 , 梅如如 , 崔健 , 等 . 一种基于CMA和DDLMS算法的双模式盲均衡算法 [J ] . 电讯技术 , 2021 , 61 ( 1 ): 83 - 88 .

HU W R , MEI R R , CUI J , et al . A dual-mode blind equalization algorithm based on CMA and DDLMS algorithm [J ] . Telecommunication Engineering , 2021 , 61 ( 1 ): 83 - 88 .

ZHANG M X , XIE X H , HUANG C , et al . Variable momentum constant modulus algorithm for blind equalization of CPFSK signals [C ] // Proceedings of the 2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) . Piscataway : IEEE Press , 2023 : 1 - 6 .

MA J T , QIU T S , TIAN Q . Fast blind equalization using bounded non-linear function with non-Gaussian noise [J ] . IEEE Communications Letters , 2020 , 24 ( 8 ): 1812 - 1815 .

张然 , 陈成锴 , 潘成胜 . 基于混沌鸡群优化的无人机抗多径盲均衡算法 [J ] . 火力与指挥控制 , 2022 , 47 ( 7 ): 26 - 31 .

ZHANG R , CHEN C K , PAN C S . Chaos chicken swarm optimization-based blind equalization algorithm for multipath mitigation of UAVs [J ] . Fire Control & Command Control , 2022 , 47 ( 7 ): 26 - 31 .

SUN Y N , YAN Z Q , XU J Y , et al . Research on blind equalization technique of hydroacoustic channel based on adaptive spiral search sparrow algorithm [C ] // Proceedings of the 2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT) . Piscataway : IEEE Press , 2023 : 102 - 107 .

SAHU J , MAJUMDER S . A particle swarm optimization based training algorithm for MCMA blind adaptive equalizer [C ] // Proceedings of the 2021 International Conference on Emerging Smart Computing and Informatics (ESCI) . Piscataway : IEEE Press , 2021 : 462 - 465 .

PYDI S K , MAJUMDER S . Design of polynomial function based blind equalizer using particle swarm optimization [C ] // Proceedings of the 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) . Piscataway : IEEE Press , 2021 : 48 - 52 .

LIU N , WANG Z X , WEI H W . Trigonometric coordinate transformation blind equalization algorithm based on bi-direction long and short-term memory neural networks [J ] . IEEE Access , 2024 ( 12 ): 30653 - 30660 .

LI Q , JI W , LIU P C , et al . A reliable joint MCMA and DD-LMS for lite DSP in short-reach self-homodyne optical coherent scheme [C ] // Proceedings of the 2021 7th International Conference on Computer and Communications (ICCC) . Piscataway : IEEE Press , 2021 : 1102 - 1106 .

李勇燕 , 吴坚平 . 基于IPSO-MC融合算法的无线传感器节点定位 [J ] . 电信科学 , 2020 , 36 ( 3 ): 11 - 18 .

LI Y Y , WU J P . Wireless sensor node localization based on IPSO-MC [J ] . Telecommunications Science , 2020 , 36 ( 3 ): 11 - 18 .

GEORGE N A , MISHRA S K . A PSO based efficient PAPR reduction technique for OFDM systems [C ] // Proceedings of the 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE) . Piscataway : IEEE Press , 2024 : 1 - 6 .

王建斌 , 王恒钧 , 吴松 , 等 . 基于粒子群优化算法的5G波束权值寻优方法 [J ] . 电信科学 , 2023 , 39 ( 7 ): 23 - 34 .

WANG J B , WANG H J , WU S , et al . 5G beamforming weight optimization method based on particle swarm optimization algorithm [J ] . Telecommunications Science , 2023 , 39 ( 7 ): 23 - 34 .

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