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

Abstract

This paper presented the effect of the common process noise on track statistical distance and performance of state estimation fusion. Because of the great computational load on the cross-covariance matrix produced by process noise, indeed, which is a half or total computational load, the real-time computation of the cross-covariance matrix is avoided in system implementation. First, the computational load on the cross-covariance matrix, track statistical distance, and state estimation fusion are estimated and compared. And the 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, the cross-covariance matrix is neglected.