Effect of the common process noise on performance of two-sensor fused-track

This paper presented effect of the common process noise on track statistical distance and performance of state estimation fusion. Because of great computational load on cross-covariance matrix produced by process noise, indeed, which is a half of total computational load, thus real-time computation of cross-covariance matrix is avoided in system implement. First, computational load on cross-covariance matrix, track statistical distance, and state estimation fusion are estimated and compared. And effect of the common process noise on track statistical distance and performance of state estimation fusion are simulated. Simulation results show that in the case of less process noise, cross-covariance matrix is neglected, whereas it cannot.