{"title":"Robust Phase-Coded Waveform Design with Low Range Sidelobes Using Particles Filter Assisted Projection Method","authors":"Xiang Feng, T. Liu, Wenqing Cui, Chaolin Zhang, Zhanfeng Zhao, Yinan Zhao","doi":"10.1109/ICICSP55539.2022.10050542","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel method, named Particles Filter Assisted Projection (PFAP), to design unimodular waveform with local low range sidelobes. As the designing problem with unimodular constraint is often deemed as non-convex, and hard to tackle, here we borrow the multi-particles resampling idea to improve the robustness. By formulating the typical low range sidelobes mathematical problems, these nonlinear approximations can be solved via PFAP and FFT, where PFAP with resampling idea and particles assisted projection mechanism could enhance the global convergence under the non-convex constraint even with less iterations. Simulations demonstrates that PFAP outperforms some other prevalent ones.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSP55539.2022.10050542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present a novel method, named Particles Filter Assisted Projection (PFAP), to design unimodular waveform with local low range sidelobes. As the designing problem with unimodular constraint is often deemed as non-convex, and hard to tackle, here we borrow the multi-particles resampling idea to improve the robustness. By formulating the typical low range sidelobes mathematical problems, these nonlinear approximations can be solved via PFAP and FFT, where PFAP with resampling idea and particles assisted projection mechanism could enhance the global convergence under the non-convex constraint even with less iterations. Simulations demonstrates that PFAP outperforms some other prevalent ones.