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Angle-of-Arrival Assisted GNSS Collaborative Positioning.

Bin Huang1, Zheng Yao2, Xiaowei Cui3

  • 1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. b-huang09@mails.tsinghua.edu.cn.

Sensors (Basel, Switzerland)
|June 23, 2016
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Summary
This summary is machine-generated.

This study introduces angle-of-arrival (AOA)-assisted global navigation satellite system (GNSS) collaborative positioning to improve accuracy in challenging environments. Analysis shows user distribution and AOA accuracy significantly impact positioning performance.

Keywords:
Cramer-Rao lower boundGNSSangle-of-arrivalcollaborative positioning

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Area of Science:

  • Navigation Systems
  • Signal Processing
  • Geomatics Engineering

Background:

  • Global Navigation Satellite Systems (GNSS) face challenges in urban and indoor environments.
  • Terrestrial wireless systems offer complementary positioning data.
  • Collaborative positioning fuses multi-source information for enhanced accuracy.

Purpose of the Study:

  • To derive the Cramer-Rao lower bound (CRLB) for angle-of-arrival (AOA)-assisted GNSS collaborative positioning.
  • To analyze factors affecting collaborative positioning accuracy, including user number, distribution, and AOA measurement precision.
  • To investigate the impact of user relative locations on computational complexity and performance.

Main Methods:

  • Derivation of CRLB for AOA-assisted GNSS collaborative positioning.
  • Theoretical analysis of positioning accuracy based on CRLB and collaborative algorithms.
  • Simulation and experimental validation using multiple GNSS receivers in diverse scenarios.

Main Results:

  • Theoretical analysis quantifies the influence of user quantity, spatial distribution, and AOA accuracy on positioning error.
  • Identification of optimal neighboring user selection strategies to minimize computational load.
  • Experimental results validate the theoretical models and demonstrate the effectiveness of the proposed algorithms.

Conclusions:

  • AOA-assisted GNSS collaborative positioning significantly enhances navigation accuracy in challenging environments.
  • User distribution and AOA measurement quality are critical determinants of positioning performance.
  • The proposed methods provide a robust framework for improving collaborative positioning systems.