Sequential Monte Carlo Implementation for Infrared/Radar Maneuvering Target Tracking

When the trace of the infrared small weak target is nonlinear and non-stationary which are always appear in fact, the state equation and measurement equation are nonlinear-nonGauss and it is hard to get the solution using traditional algorithm. Taking the high precision of both infrared angle measurement and radar resistant measurement into account, a new maneuvering target tracking algorithm fusing the measurement of infrared sensor and radar sensor is proposed. After the process of infrared/radar time registration and space registration, the measurement data after fusion is sent into the resampling particle filter to track the target. The true state value is tracked by the posterior mean estimate of the state. Finally a simulation example is given and compared with the example of single radar target tracking, which is showed that the fusion tracking is better than single radar target tracking