DONG Qiyang(董琪阳),MA Tianming,JIN Jie,WU Zhong.[J].高技术通讯(英文),2024,30(1):68~74 |
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A novel DPSS filter optimization scheme to reduce the intrinsic interference of FBMC-QAM systems |
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DOI:10. 3772 / j. issn. 1006-6748. 2024. 01. 008 |
中文关键词: |
英文关键词: filter bank multicarrier-quadrature amplitude modulation (FBMC-QAM), intrinsic interference, discrete prolate spheroidal sequences (DPSS), interior point method |
基金项目: |
Author Name | Affiliation | DONG Qiyang(董琪阳) | (School of Electrical and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China) | MA Tianming | | JIN Jie | | WU Zhong | |
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中文摘要: |
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英文摘要: |
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 designed, 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. |
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