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J. Sens. Actuator Netw. 2017, 6(1), 2; doi:10.3390/jsan6010002

A Framework for Multiple Object Tracking in Underwater Acoustic MIMO Communication Channels

1
Electrical and Computer Engineering Department, University of Puerto Rico, Mayagüez 00681, Puerto Rico
2
Electronics Department, Universidad Pontificia Bolivariana, Bucaramanga 681004, Colombia
3
School of Business and Entrepreneurship, Turabo University, Gurabo 00778, Puerto Rico
4
Automated Information Processing Lab., University of Puerto Rico, Mayagüez 00681, Puerto Rico
*
Author to whom correspondence should be addressed.
Academic Editors: Hongchi Shi, Yi Shang and Xiao Chen
Received: 1 September 2016 / Revised: 25 January 2017 / Accepted: 1 February 2017 / Published: 8 February 2017
(This article belongs to the Special Issue WSN for Tracking and Localization)

Abstract

This work presents a computational framework for the analysis and design of large-scale algorithms utilized in the estimation of acoustic, doubly-dispersive, randomly time-variant, underwater communication channels. Channel estimation results are used, in turn, in the proposed framework for the development of efficient high performance algorithms, based on fast Fourier transformations, for the search, detection, estimation and tracking (SDET) of underwater moving objects through acoustic wavefront signal analysis techniques associated with real-time electronic surveillance and acoustic monitoring (eSAM) operations. Particular importance is given in this work to the estimation of the range and speed of deep underwater moving objects modeled as point targets. The work demonstrates how to use Kronecker products signal algebra (KSA), a branch of finite-dimensional tensor signal algebra, as a mathematical language for the formulation of novel variants of parallel orthogonal matching pursuit (POMP) algorithms, as well as a programming aid for mapping these algorithms to large-scale computational structures, using a modified Kuck’s paradigm for parallel computation. View Full-Text
Keywords: orthogonal matching pursuit; acoustic signal; multiple object tracking; delay-Doppler MIMO estimation; Kuck’s paradigm; Kronecker products signal algebra orthogonal matching pursuit; acoustic signal; multiple object tracking; delay-Doppler MIMO estimation; Kuck’s paradigm; Kronecker products signal algebra
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rodriguez, D.; Aceros, C.; Valera, J.; Anaya, E. A Framework for Multiple Object Tracking in Underwater Acoustic MIMO Communication Channels. J. Sens. Actuator Netw. 2017, 6, 2.

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