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Layout of Detection Array Based on Multi-Strategy Fusion Improved Adaptive Mayfly Algorithm in Bearing-Only Sensor

Zhan Chen1, Yangwang Fang1, Ruitao Zhang1

  • 1Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an 710072, China.

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Summary

This study introduces an improved mayfly algorithm (MIAMA) for optimizing bearing-only sensor network layouts. MIAMA enhances detection performance by intelligently planning sensor configurations.

Keywords:
DCIF algorithmbearing-only sensor networkcooperative consistency theorystate estimation

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Area of Science:

  • Sensor Networks
  • Signal Processing
  • Optimization Algorithms

Background:

  • Bearing-only sensor networks are crucial for detection and localization.
  • Sensor array layout significantly affects network detection performance.

Purpose of the Study:

  • To propose a novel algorithm for optimal geometric configuration planning in bearing-only sensor networks.
  • To enhance the detection performance of bearing-only sensor networks through improved array layout.

Main Methods:

  • Constructed a bearing-only sensor network system model.
  • Analyzed system observability using Cramer-Rao Lower Bound and Fisher Information Matrix.
  • Developed a Multi-strategy Fusion Improved Adaptive Mayfly Algorithm (MIAMA) incorporating Tent chaos mapping, adaptive inertia weight, and Random Opposition-based Learning.

Main Results:

  • MIAMA demonstrated superior performance in layout planning compared to traditional methods.
  • Simulation experiments validated the effectiveness and superiority of MIAMA over PSO, MA, and GA.
  • The proposed algorithm significantly improves detection performance in bearing-only sensor networks.

Conclusions:

  • The MIAMA algorithm offers an effective solution for optimizing bearing-only sensor network array layouts.
  • The improvements address limitations of traditional mayfly algorithms, enhancing global search and adaptability.
  • This work contributes to advancing detection and localization capabilities in sensor network applications.