Cost-Function-Based Gaussian Mixture Reduction for Target Tracking

  title={Cost-Function-Based Gaussian Mixture Reduction for Target Tracking},
  author={Jason L. Williams and Peter S. Maybeck and Peter. Maybeck},
The problem of tracking targets in clutter naturally leads to a Gaussian mixture representation of the probability density function of the target state vector. Stateof-the-art Multiple Hypothesis Tracking (MHT) techniques maintain the mean, covariance and probability weight corresponding to each hypothesis, yet they rely on ad hoc merging and pruning rules to control the growth of hypotheses. This paper proposes a structured cost-functionbased approach to the hypothesis control problem… CONTINUE READING
Highly Cited
This paper has 74 citations. REVIEW CITATIONS
50 Citations
12 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 50 extracted citations

74 Citations

Citations per Year
Semantic Scholar estimates that this publication has 74 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 12 references

Gaussian Mixture Reduction for Tracking Multiple Maneuvering Targets in Clutter

  • Williams, L Jason
  • M.S.E.E. Thesis, Air Force Institute of…
  • 2003
Highly Influential
5 Excerpts

Mixture Reduction Algorithms for Uncertain Tracking

  • Salmond, J David
  • Technical Report 88004,
  • 1988
Highly Influential
3 Excerpts

Design and Analysis of Modern Tracking Systems

  • Blackman, S Samuel, Robert Popoli
  • 1999

Application of Multiple Hypothesis Tracking to Multiradar Air Defense Systems

  • Blackman, S.S
  • Multisensor Multitarget Data Fusion, Tracking and…
  • 1996
1 Excerpt

Multisensor Multitarget Mixture Reduction Algorithms for Tracking

  • Pao, Y Lucy
  • Journal of Guidance, Control, and Dynamics, 17(6…
  • 1994
1 Excerpt

Mixture Reduction Algorithms for Target Tracking in Clutter

  • Salmond, J David
  • SPIE Signal and Data Processing of Small Targets…
  • 1990

Mixture Reduction Algorithms for Target Tracking.

  • Salmond, J David
  • IEE Colloquium on State Estimation in Aerospace…
  • 1989

Tracking in Uncertain Environments

  • Salmond, J David
  • Technical Memorandum AW 121, Farnborough, UK…
  • 1989

Similar Papers

Loading similar papers…