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Optimal Target Assignment with Seamless Handovers for Networked Radars.

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  • 1Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea. jhkim@lics.kaist.ac.kr.

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Summary
This summary is machine-generated.

This study introduces a binary linear programming method for radar network target assignment, maximizing target allocation by enabling radar handovers. The approach outperforms greedy algorithms in complex battlefield simulations.

Keywords:
optimal schedulingradar network systemsseamless multi-target trackingsituational awarenesstarget handover

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Area of Science:

  • * Operations Research
  • * Electrical Engineering
  • * Computer Science

Background:

  • * Radar networks face limitations in detection range and simultaneous tracking.
  • * Efficient resource scheduling is crucial for maximizing target assignment.
  • * Existing heuristic methods may not achieve optimal solutions.

Purpose of the Study:

  • * To develop a binary linear programming formulation for optimal multiple target assignment in radar networks.
  • * To enable effective target handovers between networked radar systems.
  • * To maximize the number of assigned targets despite individual radar constraints.

Main Methods:

  • * Formulated the multiple target assignment problem as a binary linear program.
  • * Incorporated time windows based on radar-target relationships and incoming data.
  • * Utilized a mixed-integer linear programming solver for optimal solution generation.
  • * Conducted simulations for local-scale and large-scale (battlefield) scenarios.

Main Results:

  • * The proposed formulation successfully generated optimal solutions for radar network target assignment.
  • * Validated applicability for hundreds of targets and a five-radar network in battlefield simulations.
  • * Achieved superior performance compared to a greedy algorithm in objective value and handover count.

Conclusions:

  • * The binary linear programming formulation provides an effective method for radar network resource scheduling.
  • * The approach overcomes individual radar limitations through optimized target handovers.
  • * Demonstrated scalability and improved performance over heuristic methods in complex scenarios.