Underwater Target Localization using the Generalized Lloyd-Mirror Pattern

  • Mojgan Mirzaei Hotkani Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
  • Seyed Alireza Seyedin, Dr Faculty of Engineering, Ferdowsi University of Mashhad
  • Jean Francois Bousquet Department of Electrical & Computer Engineering, Dalhousie University, Halifax, NS, Canada.
Keywords: Matched Field Processing, Underwater Target Localization, Lloyd-Mirror Pattern, Normal Mode, Shallow Water, Image Model

Abstract

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.  

Author Biographies

Mojgan Mirzaei Hotkani, Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Mojgan Mirzaei Hotkani received the B.S. and the M.S. degrees in Electrical Engineering from ShahidBahonar University of Kerman, Kerman. Iran. Currently, she is a Ph.D. Candidate at Ferdowsi University of Mashhad, Mashhad, Iran as well as visiting research student at Dalhousie University, Halifax, Canada
Jean Francois Bousquet, Department of Electrical & Computer Engineering, Dalhousie University, Halifax, NS, Canada.
Jean-Francois Bousquet joined the Electrical and Computer Engineering Department at Dalhousie in July 2013. He is a graduate of École Polytechnique de Montréal where he completed his B. Eng. in Electrical Engineering in 2001. He also completed his M.Sc. and a Ph.D. degree in Electrical Engineering at the University of Calgary in 2007 and 2011 respectively. Since he joined Dalhousie, he has applied his broad knowledge in the field of electrical and computer engineering towards underwater communications to enable underwater networks, using low-power electronics.

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Published
2021-09-01
How to Cite
Hotkani, M., Seyedin, S. A., & Bousquet, J. (2021). Underwater Target Localization using the Generalized Lloyd-Mirror Pattern. Majlesi Journal of Electrical Engineering, 15(3), 17-24. https://doi.org/https://doi.org/10.52547/mjee.15.3.17
Section
Articles