Impulsive data association with an unknown number of targets

Matthew Travers*, Todd Murphey, Lucy Pao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

First- and second-order solution methods for the multi-target data association problem with an unknown number of targets are presented. It is shown that by considering a single continuous measurement signal with impulsive switching between measuring the position of different objects, the data association problem can be recast as a continuous optimization over the impulse times and magnitudes. First- and second-order adjoint formulations are derived which reduce the calculation of the either the first- or second-order derivative of the cost function to a single integration (over any number of impulse times and magnitudes). These adjoint formulations as well as a method for estimating the total number of impulses which occur are the main contributions of this work.

Original languageEnglish (US)
Title of host publicationHSCC'11 - Proceedings of the 2011 ACM/SIGBED Hybrid Systems
Subtitle of host publicationComputation and Control
Pages261-270
Number of pages10
DOIs
StatePublished - 2011
Event14th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2011 - Chicago, IL, United States
Duration: Apr 12 2011Apr 14 2011

Publication series

NameHSCC'11 - Proceedings of the 2011 ACM/SIGBED Hybrid Systems: Computation and Control

Other

Other14th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2011
CountryUnited States
CityChicago, IL
Period4/12/114/14/11

Keywords

  • Data association
  • Filtering theory
  • Optimization

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Control and Systems Engineering

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