Research on implementation of elementary symmetric function in GM-CPHD filter

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Research on implementation of elementary symmetric function in GM-CPHD filter

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  • DOI:  10.1049/cp.2013.0244
  • ISBN: 978-1-84919-603-1
  • Location: Xi'an, China
  • Conference date: 14-16 April 2013
  • Format: PDF
This paper provides two methods about implementation of elementary symmetric function (ESF) in Gaussian mixture cardinalized probability hypothesis density (GM-CPHD) filter. One is based on the matrix inversion; the other is implementing the ESF recursively. Simulation results reveal that the recursive implementation of ESF weights over the matrix inversion based method. (4 pages)

Inspec keywords: probability; radar tracking; Gaussian processes; matrix inversion

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

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