Performance of kalman and gain fusion algorithms for sensor data fusion with measurement loss

In this paper Kalman filter and Gain fusion based multi-sensor data13; fusion algorithms are investigated for their performance when there is data loss. The13; results of real data are presented for situation in which two local / individual filters13; track a moving object.13; .13; .