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July 26, 2026Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)

An Improved Square Root Unscented Kalman Filter for Nonlinear Positioning in Space-Based Pseudolite Systems

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Authors

SHShen Jian HuaLWLv Jun WeiDCDuan Chenhao

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Overview

Randomized trial demonstrates improved positioning capabilities in pseudolite systems, suggesting enhanced navigation accuracy.

Key Points

  • To propose an improved square root unscented Kalman filter that better handles nonlinear positioning in pseudolite systems.
  • Proposed an improved unscented Kalman filtering algorithm addressing traditional UKF limitations.
  • Conducted software simulation using MATLAB to compare the performance of the improved algorithm against traditional algorithms.
  • Tested the algorithm in practical scenarios including sports car testing and indoor navigation.
  • The improved algorithm ensures non-negative definiteness and symmetry in the recursive process by modifying the covariance matrix usage.
  • Simulation results indicate enhanced accuracy in nonlinear systems compared to the traditional target-tracking algorithm.
  • Field tests confirm superiority in positioning and tracking capabilities, validating the proposed improvements.

Cite This Study

Hua et al. (2026) studied this question.

synapsesocial.com/papers/6a65a825d3aea3239cd78a81https://doi.org/10.2174/0123520965378161260519111038
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