A Dynamic and Adaptive Selection Radar Tracking Method Based on Information Entropy

A Dynamic and Adaptive Selection Radar Tracking Method Based on Information Entropy

Blog Article

Nowadays, the battlefield environment has become much more complex and variable.This paper presents a quantitative method and lower bound for the amount of target information acquired from multiple radar observations to adaptively and dynamically organize the detection of battlefield resources based on the Lutein principle of information entropy.Furthermore, for minimizing the given information entropy’s lower bound for target measurement at every moment, a method to dynamically and adaptively select radars with a high amount of information Audio Accessories for target tracking is proposed.The simulation results indicate that the proposed method has higher tracking accuracy than that of tracking without adaptive radar selection based on entropy.