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Modified Gibbs sampler procedure for bearing-only multitarget tracking

Danaee, M. R ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. Publisher: 2012
  3. Abstract:
  4. While Probabilistic MHT (PMHT) highly reduces computational burden by avoiding enumeration of all possible data association events, its implementation still suffers from intractable manifold integrals. MCMC particle filters, rendering the task of PMHT implementation, found it difficult to face with both data association uncertainty and violations of the presumptions of no more than one measurement could be assigned to a target at each time step. Coping with these difficulties, we suggest a modified Gibbs sampling approach that utilizes current measurement information efficiently to estimate PMHT parameters recursively. We use scenarios of Bearing-Only multi-target tracking to compare our proposed method with the famous counterpart Gibbs sampler method
  5. Keywords:
  6. Bearing-only multi-target tracking ; Gaussian approximate to the optimal proposal density ; Modified Gibbs sampler ; Probabilistic MHT
  7. Source: International Review on Modelling and Simulations ; Volume 5, Issue 4 , 2012 , Pages 1532-1540 ; 19749821 (ISSN)
  8. URL: http://connection.ebscohost.com/c/articles/84994975/modified-gibbs-sampler-procedure-bearing-only-multitarget-tracking