{"title":"A track-before-detect algorithm for underwater acoustic DSSS signal by introducing Doppler observation","authors":"Yang Yue , Dajun Sun , Cuie Zheng , Jian Xu","doi":"10.1016/j.apacoust.2025.110737","DOIUrl":null,"url":null,"abstract":"<div><div>Weak signal detection and tracking in the underwater acoustic (UWA) dual-spread channels are made difficult by the combined effects of the large ocean background noise fluctuations and extended, time-varying multipath. To account for these effects, we propose a track-before-detect (TBD) algorithm based on particle filter, incorporating Doppler observations within direct sequence spread spectrum (DSSS) systems to enhance signal tracking performance. In the proposed method, a multi-input TBD model with Doppler observation is developed, employing a joint likelihood function aligned with the measurement model to improve the distinction between weak signals and background noise, thereby improving weak signal detection probability. To further enhance the robustness of signal tracking, we introduce auxiliary variables to optimize particle sampling. The signal trajectory management strategies have also been developed to improve dynamic adaptability to variations in the number of multipath components. The performance of the proposed algorithm is confirmed through simulation analysis and shallow water horizontal channel experiments.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"238 ","pages":"Article 110737"},"PeriodicalIF":3.4000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Acoustics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003682X25002099","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Weak signal detection and tracking in the underwater acoustic (UWA) dual-spread channels are made difficult by the combined effects of the large ocean background noise fluctuations and extended, time-varying multipath. To account for these effects, we propose a track-before-detect (TBD) algorithm based on particle filter, incorporating Doppler observations within direct sequence spread spectrum (DSSS) systems to enhance signal tracking performance. In the proposed method, a multi-input TBD model with Doppler observation is developed, employing a joint likelihood function aligned with the measurement model to improve the distinction between weak signals and background noise, thereby improving weak signal detection probability. To further enhance the robustness of signal tracking, we introduce auxiliary variables to optimize particle sampling. The signal trajectory management strategies have also been developed to improve dynamic adaptability to variations in the number of multipath components. The performance of the proposed algorithm is confirmed through simulation analysis and shallow water horizontal channel experiments.
期刊介绍:
Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense.
Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems.
Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.