OICC Press Majlesi Journal of Electrical Engineering 2345-3796 15 3 2024 02 12 Underwater Target Localization using the Generalized Lloyd-Mirror Pattern 10.52547/mjee.15.3.17 EN Mojgan Hotkani Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran. Seyed Alireza Seyedin Faculty of Engineering, Ferdowsi University of Mashhad Jean Bousquet Department of Electrical & Computer Engineering, Dalhousie University, Halifax, NS, Canada. Journal Article 2024 02 12 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.