首页|A novel DPSS filter optimization scheme to reduce the intrinsic interference of FBMC-QAM systems

A novel DPSS filter optimization scheme to reduce the intrinsic interference of FBMC-QAM systems

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In order to reduce the intrinsic interference of the filter bank multicarrier-quadrature amplitude modulation(FBMC-QAM)system,a novel filter optimization scheme based on discrete prolate spheroidal sequences(DPSS)is proposed.Firstly,a prototype filter function based on DPSS is de-signed,since the eigenvalue can be used as an indicator of the energy concentration of DPSS,so a threshold is set,and the sequence with the most concentrated energy is selected under the threshold,that is,the sequence with the eigenvalue higher than the threshold,and the prototype filter function is rewritten as a weighted sum function of multiple eigenvectors.Under the energy constraints of the filter,the relationship between the eigenvectors and the intrinsic interference function is established,and the function problem is transformed into an optimization problem for the weighted coefficients.Through the interior point method,the most suitable weight is found to obtain the minimum intrinsic interference result.Theoretical analysis and simulation results show that compared with the prototype filters such as Type1 and CaseC,the DPSS filter applying the proposed optimization algorithm can effectively suppress the intrinsic interference of the system and obtain a better bit error rate(BER)performance.

filter bank multicarrier-quadrature amplitude modulation(FBMC-QAM)intrinsic interferencediscrete prolate spheroidal sequences(DPSS)interior point method

DONG Qiyang(董琪阳)、MA Tianming、JIN Jie、WU Zhong

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School of Electrical and Electronic Engineering,Shanghai University of Engineering Science,Shanghai 201620,P.R.China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaScience and Technology Innovation Action Plan Project of Shanghai Science and Technology CommissionTalent Program of Shanghai University of Engineering Science

6160129661201244205111035002018RC43

2024

10.3772/j.issn.1006-6748.2024.01.008

高技术通讯(英文版)
中国科学技术信息研究所（ISTIC）

高技术通讯(英文版)

影响因子：0.058
ISSN：1006-6748
年,卷(期)：2024.30(1)
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