Application of AMAUKF on the Condition of Target Re-Tracked by UAV
Huixia Liu · Computer Measurement & Control · 2012
UAV tracking target always face the target-lost event.However,filter used to consider one-step prediction as estimation when target lost event happening,which cause bad influence to precision of tracking.For that reason,applying the Self-Adaptive Memory Attenuated Filter theory to UKF could increase the tracking precision after target re-tracked by UAV.The new filter is named as Adaptive Memory Attenuated Unscented Kalman Filter(AMAUKF).Based on this new filter,it designs the filter running flow and computer experiment,which show the new filter shorten the step of convergence and advance the precision of tracking.