Joint underwater target detection and tracking with the Bernoulli filter using an acoustic vector sensor
| dc.authorid | Gunes, Ahmet/0000-0003-1663-0368 | |
| dc.contributor.author | Gunes, Ahmet | |
| dc.contributor.author | Guldogan, Mehmet B. | |
| dc.date.accessioned | 2025-10-24T18:09:00Z | |
| dc.date.available | 2025-10-24T18:09:00Z | |
| dc.date.issued | 2016 | |
| dc.department | Malatya Turgut Özal Üniversitesi | |
| dc.description.abstract | In this paper, we study the problem of joint underwater target detection and tracking using an acoustic vector sensor (AVS). For this challenging problem, first a realistic frequency domain simulation is set up. The outputs of this simulation generate the two dimensional FRequency-AZimuth (FRAZ) image. On this image, the random finite set (RFS) framework is employed to characterize the target state and sensor measurements. We propose to use the Bernoulli filter, which is the optimal Bayes filter emerged from the RFS framework for randomly on! off switching single dynamic systems. Moreover, to increase the performance of detection and azimuth tracking in low signal-to-noise ratio (SNR) scenarios, a track-before-detect (TBD) measurement model for AVS is proposed to be used with the Bernoulli filter. Sequential Monte Carlo (SMC) implementation is preferred for the Bernoulli filter recursions. Extensive simulation results prove the performance gain obtained by the proposed approach both in estimation accuracy and detection range of the system. (C) 2015 Elsevier Inc. All rights reserved. | |
| dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) [114E214] | |
| dc.description.sponsorship | This work was supported in part by The Scientific and Technological Research Council of Turkey (TUBITAK) under grant No. 114E214. | |
| dc.identifier.doi | 10.1016/j.dsp.2015.09.020 | |
| dc.identifier.endpage | 258 | |
| dc.identifier.issn | 1051-2004 | |
| dc.identifier.issn | 1095-4333 | |
| dc.identifier.scopus | 2-s2.0-84947206205 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 246 | |
| dc.identifier.uri | https://doi.org/10.1016/j.dsp.2015.09.020 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12899/3412 | |
| dc.identifier.volume | 48 | |
| dc.identifier.wos | WOS:000365831500022 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Academic Press Inc Elsevier Science | |
| dc.relation.ispartof | Digital Signal Processing | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_20251023 | |
| dc.subject | Acoustic vector sensor; The Bernoulli filter; Random finite sets; Target tracking; Track before detect | |
| dc.title | Joint underwater target detection and tracking with the Bernoulli filter using an acoustic vector sensor | |
| dc.type | Article |












