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Survey of hardware platforms for an energy efficient implementation of matching pursuits algorithm for shallow water networks

Published: 15 September 2008 Publication History

Abstract

Coral reefs worldwide are in serious decline. Underwater wireless sensor networks may be the answer to providing the persistent monitoring presence needed to obtain the data necessary to better understand how to protect these ecosystems for the future. Many advances have been made in underwater acoustic communication devices for underwater wireless sensor networks, but a major challenge that still remains is obtaining an energy efficient modem design. To begin to address this challenge, we implement the Matching Pursuits algorithm for channel estimation, an energy consuming portion of an existing underwater acoustic modem designed for shallow water networks, on a variety of hardware platforms. We determine that a dedicated field programmable gate array (FPGA) intellectual property core provides the most energy efficient hardware platform for Matching Pursuits which motivates future work to port the entire modem design to an FPGA for an energy efficient modem design.

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  • (2012)Homotopy algorithm using dichotomous coordinate descent iterations for sparse recovery2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)10.1109/ACSSC.2012.6489128(820-824)Online publication date: Nov-2012
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  1. Survey of hardware platforms for an energy efficient implementation of matching pursuits algorithm for shallow water networks

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        cover image ACM Conferences
        WUWNet '08: Proceedings of the 3rd International Workshop on Underwater Networks
        September 2008
        110 pages
        ISBN:9781605581859
        DOI:10.1145/1410107
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Publication History

        Published: 15 September 2008

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        Author Tags

        1. energy efficiency
        2. matching pursuits algorithm
        3. shallow water networks

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        View all
        • (2017)Low-Complexity DCD-Based Sparse Recovery AlgorithmsIEEE Access10.1109/ACCESS.2017.27158825(12737-12750)Online publication date: 2017
        • (2013)DCD-RLS Adaptive Filters With Penalties for Sparse IdentificationIEEE Transactions on Signal Processing10.1109/TSP.2013.225834061:12(3198-3213)Online publication date: 1-Jun-2013
        • (2012)Homotopy algorithm using dichotomous coordinate descent iterations for sparse recovery2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)10.1109/ACSSC.2012.6489128(820-824)Online publication date: Nov-2012
        • (2010)Matching pursuit: Evaluation and implementatio for LTE channel estimationProceedings of 2010 IEEE International Symposium on Circuits and Systems10.1109/ISCAS.2010.5537528(589-592)Online publication date: May-2010
        • (2010)An FPGA softcore based implementation of a bird call recognition system for sensor networks2010 Conference on Design and Architectures for Signal and Image Processing (DASIP)10.1109/DASIP.2010.5706238(1-6)Online publication date: Oct-2010
        • (2010)Implementation of greedy algorithms for LTE sparse channel estimation2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers10.1109/ACSSC.2010.5757587(400-405)Online publication date: Nov-2010

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