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Multitarget particle filter track before detect application

Multitarget particle filter track before detect application

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The paper deals with a radar ‘track before detect’ application in a multitarget setting. ‘Track before detect’ is a method to track weak objects on the basis of raw radar measurements, e.g. the reflected power of the target plus noise. In classical target tracking, the tracking process is performed on the basis of pre-processed measurements that are constructed from the original measurement data every time step. In this way no integration over time takes place and information is lost. The authors give details of a modelling setup and a particle filter based algorithm to deal with a ‘multiple target track before detect’ situation. Using simulations it is shown that with this method, it is possible to track multiple, closely spaced, weak targets.

References

    1. 1)
      • Ballantyne, D.J., Chan, H.Y., Kouritzin, M.A.: `A branching particle-based nonlinear filter for multi-target tracking', Proc. FUSION Conf., Montreal, Canada, 7–10 August 2001.
    2. 2)
      • C. Kreucher , K. Kastella , A.O. Hero . Tracking multiple targets using a particle filter representation of the joint multitarget probabiltiy density. Proc. SPIE–Int. Soc. Opt. Eng. , 258 - 269
    3. 3)
      • Rollason, M., Salmond, D.: `A particle filter for track-before-detect of a target with unknown amplitude', Proc. IEE Colloquium on Target Tracking: Algorithms and Applications, Enschede, The Netherlands, Oct. 2001.
    4. 4)
      • S. Blackman , R. Popoli . (1999) Design and analysis of modern tracking systems.
    5. 5)
      • B. Ristic , S. Arulampalam , N. Gordon . (2004) Beyond the Kalman filter-particle filters for tracking applications.
    6. 6)
      • Salmond, D.J., Birch, H.: `A particle filter for track-before-detect', Proc. American Control Conf., Arlington, VA, USA, 25–27 June 2001.
    7. 7)
      • Boers, Y., Driessen, J.N., Verschure, F., Heemels, W.P.M.H., Juloski, A.: `A multi target track before detect application', IEEE Conf. on Computer Vision and Pattern Recognition - Workshop on Multi Object Tracking, Madison, WI, USA, 16–22 June 2003.
    8. 8)
      • N.J. Gordon , D.J. Salmond , A.F.M. Smith . Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proc. F, Radar Signal Process. , 2 , 107 - 113
    9. 9)
      • A. Doucet , N. de Freitas , N. Gordon . (2001) Sequential Monte Carlo methods in practice.
    10. 10)
    11. 11)
      • Y. Bar-Shalom , X.R. Li . (1993) Estimation and tracking principles, techniques and software.
    12. 12)
      • M.I. Skolnik . (2001) Introduction to radar systems.
    13. 13)
    14. 14)
      • Boers, Y., Driessen, J.N., Grimmerink, K.: `Particle filter based detection schemes', Proc. SPIE–Int. Soc. Opt. Eng., 2002, 4728, p. 128–137.
    15. 15)
      • J.L. Melsa , D.L. Cohn . (1978) Decision and estimation theory.
    16. 16)
      • Boers, Y., Driessen, J.N.: `Particle filter based detection for tracking', Proc. American Control Conf., Arlington, VA, USA, 25–27 June 2001.
    17. 17)
      • J.H. Zwaga , J.N. Driessen , W.J.H. Meijer . Track-before-detect for surveillance radar: a recursive filter based approach. Proc. SPIE–Int. Soc. Opt. Eng. , 103 - 115
    18. 18)
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