Binary phase-coded radar waveform optimization based on improved hybrid quantum genetic algorithm
To overcome the problem of single search focus and limited application scope of existing algorithm, a binary phase-coded radar waveform optimization (RWO) based on improved hybrid quantum genetic algorithm (IHQGA) was proposed.IHQGA adopted a novel self-adaptive rotation angle strategy, which dynami...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2024-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024022/ |
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| author | Yu ZHANG Jing ZHAO Yanguo JIA Xiumin SHEN |
| author_facet | Yu ZHANG Jing ZHAO Yanguo JIA Xiumin SHEN |
| author_sort | Yu ZHANG |
| collection | DOAJ |
| description | To overcome the problem of single search focus and limited application scope of existing algorithm, a binary phase-coded radar waveform optimization (RWO) based on improved hybrid quantum genetic algorithm (IHQGA) was proposed.IHQGA adopted a novel self-adaptive rotation angle strategy, which dynamically adjusted the rotation angle based on evolutionary process and cosine similarity.The convergence speed, global search capability, and solution quality were improved.Simulation results demonstrate that compared with genetic algorithms, basic quantum genetic algorithms, and hybrid quantum genetic algorithms, IHQGA performs better in terms of solution quality and resource consumption for six benchmark functions that include single-peak, multi-peak, and non-convex optimization problems.Additionally, for binary phase-coded RWO, which verifies the feasibility and effectiveness of IHQGA in WO. |
| format | Article |
| id | doaj-art-c3e4c25e3c6147cc82578557e6091f62 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c3e4c25e3c6147cc82578557e6091f622025-01-14T06:22:39ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-01-014512914059385374Binary phase-coded radar waveform optimization based on improved hybrid quantum genetic algorithmYu ZHANGJing ZHAOYanguo JIAXiumin SHENTo overcome the problem of single search focus and limited application scope of existing algorithm, a binary phase-coded radar waveform optimization (RWO) based on improved hybrid quantum genetic algorithm (IHQGA) was proposed.IHQGA adopted a novel self-adaptive rotation angle strategy, which dynamically adjusted the rotation angle based on evolutionary process and cosine similarity.The convergence speed, global search capability, and solution quality were improved.Simulation results demonstrate that compared with genetic algorithms, basic quantum genetic algorithms, and hybrid quantum genetic algorithms, IHQGA performs better in terms of solution quality and resource consumption for six benchmark functions that include single-peak, multi-peak, and non-convex optimization problems.Additionally, for binary phase-coded RWO, which verifies the feasibility and effectiveness of IHQGA in WO.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024022/phase codingradar waveformQGAself-adaptive rotating angle strategyPSLL |
| spellingShingle | Yu ZHANG Jing ZHAO Yanguo JIA Xiumin SHEN Binary phase-coded radar waveform optimization based on improved hybrid quantum genetic algorithm Tongxin xuebao phase coding radar waveform QGA self-adaptive rotating angle strategy PSLL |
| title | Binary phase-coded radar waveform optimization based on improved hybrid quantum genetic algorithm |
| title_full | Binary phase-coded radar waveform optimization based on improved hybrid quantum genetic algorithm |
| title_fullStr | Binary phase-coded radar waveform optimization based on improved hybrid quantum genetic algorithm |
| title_full_unstemmed | Binary phase-coded radar waveform optimization based on improved hybrid quantum genetic algorithm |
| title_short | Binary phase-coded radar waveform optimization based on improved hybrid quantum genetic algorithm |
| title_sort | binary phase coded radar waveform optimization based on improved hybrid quantum genetic algorithm |
| topic | phase coding radar waveform QGA self-adaptive rotating angle strategy PSLL |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024022/ |
| work_keys_str_mv | AT yuzhang binaryphasecodedradarwaveformoptimizationbasedonimprovedhybridquantumgeneticalgorithm AT jingzhao binaryphasecodedradarwaveformoptimizationbasedonimprovedhybridquantumgeneticalgorithm AT yanguojia binaryphasecodedradarwaveformoptimizationbasedonimprovedhybridquantumgeneticalgorithm AT xiuminshen binaryphasecodedradarwaveformoptimizationbasedonimprovedhybridquantumgeneticalgorithm |