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Formation optimization of airborne radar coordinated detection system using an improved Artificial Fish Swarm

Tingting Li1,2, Tiankuo Meng3,4, Guanglei Meng5,2

  • 1Department of Aeronautics and Astronautics, Fudan University, Shanghai, 200433, China.

Scientific Reports
|January 3, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an improved Artificial Fish Swarm Algorithm to optimize airborne radar network configurations for stealth aircraft. The method enhances detection range and computational efficiency in collaborative air combat scenarios.

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Area of Science:

  • Aerospace Engineering
  • Artificial Intelligence
  • Signal Processing

Background:

  • Modern air combat increasingly relies on multi-aircraft collaboration for detection and engagement.
  • Stealth aircraft, while reducing initial detection, become vulnerable when activating radar systems.
  • Existing methods for optimizing cooperative radar networks face challenges in effectiveness and efficiency.

Purpose of the Study:

  • To develop an optimized configuration method for Airborne Radar Network with Separate Transmitting and Receiving (ARN-STAR).
  • To maximize the detectable range for cooperative flight formations.
  • To overcome limitations of existing methods in effectiveness and efficiency for ARN-STAR.

Main Methods:

  • Established a mathematical model and optimization objective function for ARN-STAR using spatial scattering and dual-radar spatial diversity.
  • Proposed an improved Artificial Fish Swarm Algorithm (IFSA) to optimize computational processes and enhance solution accuracy.
  • Implemented adaptive adjustments to artificial fish movement and behavioral modes to avoid local optima.

Main Results:

  • The IFSA effectively solves the optimal formation configuration problem for multi-aircraft collaborative detection with 'one transmission and multiple receptions'.
  • Achieved significantly improved computational efficiency compared to traditional methods.
  • Demonstrated good accuracy in finding optimal configurations, enhancing overall combat capabilities and aircraft safety.

Conclusions:

  • The proposed IFSA-based method provides an effective solution for optimizing airborne radar network configurations in collaborative air combat.
  • This approach enhances detection capabilities and operational safety for stealth aircraft.
  • The study focuses on configurational optimization between UAVs, not on UAV combat control system design.