• DocumentCode
    1501791
  • Title

    Detection Methods for Mode Perturbation Signatures

  • Author

    Otanez, P.G. ; Campbell, M.E.

  • Author_Institution
    Sibley Sch. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    57
  • Issue
    11
  • fYear
    2012
  • Firstpage
    2923
  • Lastpage
    2928
  • Abstract
    A new method to enable vehicle mode detection in a cooperative environment in the absence of direct radio communication is proposed. The behavior or trajectory of a vehicle is described using a finite number of operating modes. In each mode the vehicle´s trajectory is defined by a nominal desired reference and a perturbation signature based on Gold codes. To accomplish mode detection, a locally most powerful detector is derived, which can uniquely be evaluated using the Kalman Filter innovations. The performance of the locally most powerful detector is compared with a suboptimal, yet less computationally intensive alternative, via Monte Carlo simulations over the system parameter space. The effects of nonlinearities on detection performance are also investigated.
  • Keywords
    Gold codes; Kalman filters; Monte Carlo methods; mobile robots; multi-robot systems; perturbation techniques; trajectory control; vehicles; Gold codes; Kalman filter; Monte Carlo simulations; cooperative environment; mode perturbation signatures; vehicle behavior; vehicle mode detection; vehicle trajectory; Detectors; Estimation; Mathematical model; Noise; Noise measurement; Vectors; Vehicles; Cooperative control; Kalman filters; gold codes; locally most powerful (LMP); mode detection; signal detection;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2012.2195932
  • Filename
    6189043