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      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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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 December 2017
          : 6
          : 6
          : 587-593
          Affiliations
          [1 ] (Information Science Academy, China Electronics Technology Group Corporation, Beijing 100081, China)
          Article
          000162fe74f94dd0b113a516ba9500ff
          10.12000/JR17081

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

          Remote sensing, Electrical engineering

          Target tracking, Multi-static radar, Information entropy

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