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

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Abstract 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 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 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.

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	Ge Jianjun
	Li Chunxia

Key words： Multi-static radar Information entropy Target tracking

Received: 2017-09-08; Published: 2017-12-20

Fund: Key Projects of Equipment Forecast Fund of the General Armament Department (6140-4130-1021-6DZ9-1001)

Cite this article:

Ge Jianjun,Li Chunxia. A Dynamic and Adaptive Selection Radar Tracking Method Based on Information Entropy[J]. JOURNAL OF RADARS, 2017, 6(6): 587-593.

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