The interacting multiple model (IMM) estimator has been shown to be very effective when applied to air traffic surveillance problem. However, because of the additional filter modules necessary to cover the possible target maneuvers, the IMM estimator also imposes an increasing computational burden. Hence, in an effort to design a real-time multiple model multitarget tracking algorithm that is independent of the number of modules used in the state estimator, we propose a "coarse-grained" (dynamic) parallelization that is superior, in terms of computational performance, to a "fine-grained" (static) parallelization of the state estimator, while not sacrificing tracking accuracy. In addition to having the potential of realizing superlinear speedups, the proposed parallelization scales to larger multiprocessor system and is robust, i.e., it adapts to diverse multitarget scenarios maintaining the same level of efficiency given any one of numerous factors influencing the problem size. We develop and demonstrate the dynamic parallelization on a shared-memory MIMD multiprocessor for a civilian air traffic surveillance problem using a measurement database based on two FAA air traffic control radars.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Parallelization of a multiple model multitarget tracking algorithm with superlinear speedups


    Contributors:


    Publication date :

    1997-01-01


    Size :

    1044095 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    An Adaptive m-best SD Assignment Algorithm for Parallelization for Multitarget Tracking

    Popp, R. / Pattipati, K. / Bar-Shalom, Y. et al. | British Library Conference Proceedings | 1998


    An adaptive m-best SD assignment algorithm and parallelization for multitarget tracking

    Popp, R.L. / Pattipati, K.R. / Bar-Shalom, Y. et al. | IEEE | 1998



    Shared-memory parallelization of the data association problem in multitarget tracking

    Popp, R.L. / Pattipati, K.R. / Bar-Shalom, Y. et al. | Tema Archive | 1997