Underwater Target Localization using the Generalized Lloyd-Mirror Pattern

Majlesi Journal of Electrical Engineering

مقاله 2، دوره 15، شماره 3، آذر 2021، صفحه 17-24   

نوع مقاله: Review Article

شناسه دیجیتال (DOI): 10.52547/mjee.15.3.17

نویسندگان

Mojgan Hotkani¹؛ Seyed Alireza Seyedin^{* 2}؛ Jean Bousquet³

¹Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

²Faculty of Engineering, Ferdowsi University of Mashhad

³Department of Electrical & Computer Engineering, Dalhousie University, Halifax, NS, Canada.

چکیده

Matched Field Processing (MFP) is one of the most famous algorithms for source detection and underwater localization. Traditional MFP relies on a match between the received signal at the hydrophone array and a replica signal, which is constructed using Green’s Function, then by scanning the space in range and depth to provide an estimation of source position in shallow water and deep water. Different environment models relying on Green’s function exist for constructing the replica signal; this includes normal modes in a shallow water waveguide, the Lloyd-Mirror Pattern, and the Image model. Using the proposed estimation algorithm, here, an analytical Lloyd-Mirror model is developed based on the reflection from the target surface for a case where a target is located in the source signal propagation path. So, in this paper, a new underwater acoustic target localization algorithm using the generalized Lloyd-Mirror Pattern is presented. This idea is verified using an acoustic data from a 2019 underwater communication trial in Grand Passage, Nova Scotia, Canada.
 

کلیدواژه‌ها

Matched Field Processing؛ Underwater Target Localization؛ Lloyd-Mirror Pattern؛ Normal Mode؛ shallow water؛ Image Model

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