Trade-Off Exploration for Target Tracking Application in a Customized Multiprocessor Architecture

  • Jehangir Khan1,

    Affiliated with

    • Smail Niar1Email author,

      Affiliated with

      • MazenAR Saghir2,

        Affiliated with

        • Yassin El-Hillali1 and

          Affiliated with

          • Atika Rivenq-Menhaj1

            Affiliated with

            EURASIP Journal on Embedded Systems20102009:175043

            DOI: 10.1155/2009/175043

            Received: 16 March 2009

            Accepted: 19 November 2009

            Published: 15 March 2010

            Abstract

            This paper presents the design of an FPGA-based multiprocessor-system-on-chip (MPSoC) architecture optimized for Multiple Target Tracking (MTT) in automotive applications. An MTT system uses an automotive radar to track the speed and relative position of all the vehicles (targets) within its field of view. As the number of targets increases, the computational needs of the MTT system also increase making it difficult for a single processor to handle it alone. Our implementation distributes the computational load among multiple soft processor cores optimized for executing specific computational tasks. The paper explains how we designed and profiled the MTT application to partition it among different processors. It also explains how we applied different optimizations to customize the individual processor cores to their assigned tasks and to assess their impact on performance and FPGA resource utilization. The result is a complete MTT application running on an optimized MPSoC architecture that fits in a contemporary medium-sized FPGA and that meets the application's real-time constraints.

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            Authors’ Affiliations

            (1)
            Université de Valenciennes et du Hainaut-Cambrésis, ISTV2 - Le Mont Houy
            (2)
            Department of Electrical and Computer Engineering, Texas A&M University at Qatar

            Copyright

            © Jehangir Khan et al. 2009

            This article is published under license to BioMed Central Ltd. 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.