Performance Simulation of Multi-Station Positioning System Using MATLAB

In this article, we explore the performance simulation of multi-station positioning systems implemented using MATLAB. Multi-station positioning systems represent an effective technology for determining the location of objects or individuals, with applications spanning various domains including wireless communications, geographic information systems (GIS), and navigation. This paper demonstrates how to leverage MATLAB's computational capabilities to simulate multi-station positioning systems, enabling comprehensive analysis of their performance characteristics and limitations. The simulation approach incorporates key algorithms such as Time Difference of Arrival (TDOA) or Angle of Arrival (AOA) methods, implemented through MATLAB's signal processing and optimization toolboxes. We will examine practical applications of multi-station positioning systems and discuss performance optimization techniques through parameter tuning and algorithm selection. The implementation details include MATLAB functions for coordinate calculation, error estimation using covariance matrices, and visualization of positioning accuracy through 3D plots and error distribution graphs. Readers will gain understanding of multi-station positioning system operational principles and acquire practical skills for conducting MATLAB-based simulations to evaluate system performance in real-world scenarios.