access icon openaccess Tracking fluctuating targets in extremely heterogeneous clutter using amplitude information

This study analyses the radar fluctuating target detection in G 0-distributed clutter using dynamic programming – track before detect (DP-TBD) algorithm. G 0-distributed clutter is often used to fit the complex circumstances. The authors use chi-square distribution to model the fluctuating targets. The log-likelihood ratio (LLR) is taken as the scoring function of DP-TBD. This study makes contribution to simplify the double integral into single integral in LLR and applies numerical integration with variable resolution to evaluating the LLR. Simulations prove the simplified integral equals the original integral and using LLR in DP-TBD is able to improve the performance of detecting fluctuating targets in G 0-distributed clutter.

Inspec keywords: radar tracking; radar detection; radar clutter; object detection; integration; maximum likelihood estimation; dynamic programming; target tracking

Other keywords: radar fluctuating target detection; double integral; single integral; dynamic programming – track; numerical integration; LLR; extremely heterogeneous clutter; chi-square distribution; simplified integral; original integral; fluctuating targets; log-likelihood ratio; amplitude information

Subjects: Optimisation techniques; Optimisation techniques; Other topics in statistics; Other topics in statistics; Radar equipment, systems and applications

References

    1. 1)
      • 4. Buzzi, S., Lops, M., Venturino, L., et al: ‘Detection of an unknown number of targets via track-before-detect procedures’. IEEE Radar Conf., Boston, MA, USA, April 2007, pp. 180185.
    2. 2)
      • 10. Jiang, H., Yi, W., Kong, L., et al: ‘Track-before-detect for fluctuating targets in heterogeneous clutter’. IEEE Radar Conf., Cincinnati, OH, USA, May 2014, pp. 04960501.
    3. 3)
      • 5. Frery, A.C., Muller, H.J., Yanasse, C.C.F., et al: ‘A model for extremely heterogeneous clutter’, IEEE Trans. Geosci. Remote Sens., 1997, 35, (3), pp. 648659.
    4. 4)
      • 11. Brekke, E., Hallingstad, O., Glattetre, J.: ‘Tracking small targets in heavy-tailed clutter using amplitude information’, IEEE J. Ocean. Eng., 2010, 35, (2), pp. 314329.
    5. 5)
      • 8. Swerling, P.: ‘Radar probability of detection for some additional fluctuating target cases’, IEEE Trans. Aerosp. Electron. Syst., 1997, 33, (2), pp. 698709.
    6. 6)
      • 2. Tonissen, S.M., Evans, R.J.: ‘Performance of dynamic programming techniques for track-before-detect’, IEEE Trans. Aerosp. Electron. Syst., 1996, 32, (4), pp. 14401451.
    7. 7)
      • 3. Wallace, W.R.: ‘The use of track-before-detect in pulse-Doppler radar’. RADAR, Edinburgh, UK, 2002, pp. 315319.
    8. 8)
      • 6. Swerling, P.: ‘Probability of detection for fluctuating targets’, IRE Trans. Inf. Theory, 1960, IT-6, (2), pp. 269308.
    9. 9)
      • 1. Barniv, Y.: ‘Dynamic programming solution for detecting dim moving targets’, IEEE Trans. Aerosp. Electron. Syst., 1985, 21, (1), pp. 144156.
    10. 10)
      • 7. Marcum, J.I.: ‘A statistical theory of target detection by pulsed radar’, IRE Trans. Inf. Theory, 1947, 6, (2), pp. 59267.
    11. 11)
      • 9. Ward, K.D., Tough, R.J.A., Watts, S.: ‘Sea clutter: scattering, the K distribution and radar performance’ (The Institution of Engineering and Technology, London, United Kingdom, 2006, 2nd edn.).
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2019.0722
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