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Multi-Sensor Passive Localization Using Direct Position Determination with Time-Varying Delay.

Shangyu Zhang1,2, Zhen Huang3,4, Xuefeng Feng5,6

  • 1School of Aerospace Engineering, Tsinghua University, Beijing 100084, China. zhangshangyu13@mails.tsinghua.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a new method for passive emitter localization using moving sensors. The direct position determination with time-varying delays (DPD-TVD) method improves accuracy in dynamic scenarios.

Keywords:
direct position determinationmaximum likelihoodpassive localizationtime-varying delay

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Area of Science:

  • Signal Processing
  • Sensor Networks
  • Navigation and Positioning

Background:

  • Passive emitter localization is crucial for various applications.
  • Traditional methods struggle with nonlinear motion and long observation times due to constant parameter assumptions.
  • Improving localization accuracy in dynamic environments remains a challenge.

Purpose of the Study:

  • To develop a novel passive emitter localization method that accounts for time-varying propagation delays.
  • To enhance localization accuracy in scenarios with significant relative motion between sensors and emitters.
  • To overcome limitations of traditional two-step localization algorithms in dynamic environments.

Main Methods:

  • Proposed the time-varying delay-based direct position determination (DPD-TVD) method.
  • Developed a one-step algorithm for direct emitter position determination from received signals.
  • Utilized a cost function corresponding to a map grid for localization.

Main Results:

  • The DPD-TVD method demonstrated improved localization accuracy compared to traditional methods.
  • The algorithm effectively adapts to highly dynamic scenarios with nonlinear motion.
  • Simulation results validated the superior performance of the proposed method over one-step and two-step procedures with constant parameters.

Conclusions:

  • The DPD-TVD method offers a robust solution for passive emitter localization in dynamic environments.
  • Accounting for time-varying delays is essential for accurate localization with moving sensors over extended periods.
  • The proposed one-step approach simplifies the localization process while enhancing accuracy.