{"title":"DOA Estimation and Separation of Multipath Wideband Signal Based on Parallel Factor Model","authors":"Jianfeng Li;Weiming Deng;Fuhui Zhou;Xiaofei Zhang;Qihui Wu","doi":"10.1109/TVT.2024.3495713","DOIUrl":null,"url":null,"abstract":"In complex multipath environments, accurate direction of arrival (DOA) estimation for wideband signal and effectively separating the main path signal remain challenging problems. This paper addresses this issue by leveraging the parallel factor (PARAFAC) model fitting and the multi-frequency characteristics of wideband signal. Firstly, the PARAFAC model is constructed based on the wideband array output to suppress the noise influence. The propagation matrix, which includes DOA and time delay information, is then separated using a trilinear alternating least squares method. Subsequently, accurate DOA estimation and time delay vectors are obtained using a distributed compressed sensing approach. Finally, the multi-frequency characteristics of the wideband signal are employed to distinguish the main path of the multipath signal based on time delay differences among different paths. Both simulation and practical tests are conducted to verify the superiority of the proposed method compared to other state-of-art methods.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 3","pages":"4461-4472"},"PeriodicalIF":7.1000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Vehicular Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10750317/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In complex multipath environments, accurate direction of arrival (DOA) estimation for wideband signal and effectively separating the main path signal remain challenging problems. This paper addresses this issue by leveraging the parallel factor (PARAFAC) model fitting and the multi-frequency characteristics of wideband signal. Firstly, the PARAFAC model is constructed based on the wideband array output to suppress the noise influence. The propagation matrix, which includes DOA and time delay information, is then separated using a trilinear alternating least squares method. Subsequently, accurate DOA estimation and time delay vectors are obtained using a distributed compressed sensing approach. Finally, the multi-frequency characteristics of the wideband signal are employed to distinguish the main path of the multipath signal based on time delay differences among different paths. Both simulation and practical tests are conducted to verify the superiority of the proposed method compared to other state-of-art methods.
期刊介绍：
The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.
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