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
Link To Document :
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