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Closed-Form Pseudolinear Estimators for DRSS-AOA Localization.

Jun Li1, Kutluyil Dogancay1, Hatem Hmam2

  • 1UniSA STEM, University of South Australia, Mawson Lakes Campus, Mawson Lakes, SA 5095, Australia.

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Summary

This study introduces a novel hybrid approach for source localization using differential received signal strength (DRSS) and angle of arrival (AOA) measurements. The proposed method enhances accuracy and reduces bias for improved localization performance.

Keywords:
bearings-only localizationdifferential received signal strength localizationhybrid localizationinstrumental variablesleast squaresmaximum likelihoodpseudolinear estimator

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Area of Science:

  • Signal Processing
  • Estimation Theory
  • Wireless Communications

Background:

  • Accurate source localization is crucial in various applications.
  • Traditional methods using single sensor modalities like DRSS or AOA have limitations in accuracy and robustness.
  • Hybrid sensing approaches offer potential for improved performance.

Purpose of the Study:

  • To investigate a hybrid source localization method combining DRSS and AOA measurements.
  • To develop a computationally efficient and robust estimation algorithm for hybrid sensing.
  • To address estimation bias and improve mean-squared error performance.

Main Methods:

  • Derivation of the Maximum Likelihood Estimation (MLE) solution.
  • Development of a closed-form pseudolinear estimation method by integrating AOA into linearized DRSS equations.
  • Application of the method of instrumental variables (IV) to mitigate estimation bias.
  • Proposal of a Selected-Hybrid-Measurement Weighted Instrumental Variable (SHM-WIV) estimator for enhanced performance.

Main Results:

  • The pseudolinear method eliminates nuisance parameters, improving estimation.
  • The instrumental variables approach effectively reduces estimation bias.
  • The SHM-WIV estimator demonstrates superior performance in terms of bias and mean-squared error compared to other methods.
  • Simulations validate the effectiveness of the proposed SHM-WIV estimator.

Conclusions:

  • Hybrid DRSS-AOA sensing is feasible and cost-effective for source localization.
  • The novel SHM-WIV estimator provides a significant advancement in localization accuracy and robustness.
  • This research offers a practical and high-performance solution for hybrid source localization problems.