A locally most powerful detector for mode perturbation signatures

A new method to enable vehicle mode detection in a cooperative environment while minimizing communication is proposed. The behavior of a vehicle is described using a finite number of operating modes. Each mode is defined by a model which describes the vehicle¿s dynamics as well as a perturbation signature based on gold codes. To accomplish mode detection a locally most powerful detector is derived in which the test statistic is evaluated using the Kalman filter innovations. The performance of the locally most powerful detector is tested via Monte Carlo simulations of a linear and a nonlinear system.