Multi-sensor fusion target tracking of reentry phase based on square-root unscented Kalman filter

In order to improve the tracking accuracy of targets in reentry phase,a new distributed fusion algorithm is proposed by combining the square-root unscented Kalman filter(UKF) with the multi-sensor distributed fusion tracking algorithm.This algorithm uses the square-root UKF to calculate the state estimation values of local sensors respectively,and consequently the system fusion state estimation and covariance is obtained by applying the multi-sensor distributed fusion rules.At the same time,the state covariance is allocated to the local sensors.The simulation results show that the new algorithm has a higher tracking performance,and it is a very effective nonlinear fusion tracking algorithm.