{"title":"Iterative double-differential M-ary phase-shift keying direct-sequence spread-spectrum receiver in underwater acoustic channels.","authors":"Jie Wu, Xiaoping Hong, Jinhao Deng, Hongyu Cui, Dajun Sun, Shuang Xiao","doi":"10.1121/10.0036808","DOIUrl":null,"url":null,"abstract":"<p><p>In the underwater acoustic channel, the conventional M-ary phase-shift keying (MPSK) direct-sequence spread-spectrum (DSSS) systems are sensitive to time-varying Doppler shifts. To address this issue, this paper proposes an iterative multi-channel double-differential MPSK DSSS receiver in which a per-survivor processing (PSP) method is incorporated in a soft-input/soft-output convolutional decoder to jointly estimate the data sequences and the time-varying Doppler shifts for each symbol. This PSP method embeds data-aided Doppler shift estimation within the structure of the Bahl-Cocke-Jelinek-Raviv algorithm, ensuring that the Doppler shift estimation is unaffected by the information bits. To estimate and track Doppler shifts, a symbol-by-symbol cross correlation method is employed, which is then used for dynamic phase compensation using a linear prediction model to enhance decoding performance in time-varying channels. Additionally, a multi-channel diversity combiner using soft information combines the branch metrics from each channel. Numerical simulation results demonstrate that the proposed receiver method exhibits superior performance in time-varying channels. Finally, the performance of the proposed receiver is validated through experiments conducted in shallow-water horizontal channels and deep-sea vertical channels.</p>","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"157 6","pages":"3976-3989"},"PeriodicalIF":2.1000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Acoustical Society of America","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1121/10.0036808","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
In the underwater acoustic channel, the conventional M-ary phase-shift keying (MPSK) direct-sequence spread-spectrum (DSSS) systems are sensitive to time-varying Doppler shifts. To address this issue, this paper proposes an iterative multi-channel double-differential MPSK DSSS receiver in which a per-survivor processing (PSP) method is incorporated in a soft-input/soft-output convolutional decoder to jointly estimate the data sequences and the time-varying Doppler shifts for each symbol. This PSP method embeds data-aided Doppler shift estimation within the structure of the Bahl-Cocke-Jelinek-Raviv algorithm, ensuring that the Doppler shift estimation is unaffected by the information bits. To estimate and track Doppler shifts, a symbol-by-symbol cross correlation method is employed, which is then used for dynamic phase compensation using a linear prediction model to enhance decoding performance in time-varying channels. Additionally, a multi-channel diversity combiner using soft information combines the branch metrics from each channel. Numerical simulation results demonstrate that the proposed receiver method exhibits superior performance in time-varying channels. Finally, the performance of the proposed receiver is validated through experiments conducted in shallow-water horizontal channels and deep-sea vertical channels.
期刊介绍:
Since 1929 The Journal of the Acoustical Society of America has been the leading source of theoretical and experimental research results in the broad interdisciplinary study of sound. Subject coverage includes: linear and nonlinear acoustics; aeroacoustics, underwater sound and acoustical oceanography; ultrasonics and quantum acoustics; architectural and structural acoustics and vibration; speech, music and noise; psychology and physiology of hearing; engineering acoustics, transduction; bioacoustics, animal bioacoustics.