MATLAB Simulation for Multi-Station Passive Positioning Accuracy Analysis Based on GSM Signals

The MATLAB simulation for multi-station passive positioning accuracy analysis based on GSM signals is a method used to evaluate the performance of wireless positioning systems. Through simulation experiments in MATLAB, researchers can model multiple receiving stations capturing GSM signals and performing passive positioning. This approach helps investigate the positioning accuracy of multi-station passive positioning systems and enables performance analysis and optimization. In the simulation implementation, key algorithms include time difference of arrival (TDOA) or angle of arrival (AOA) estimation techniques, which are typically implemented using MATLAB's Signal Processing Toolbox functions. The simulation code involves modeling signal propagation paths, incorporating channel effects using Rayleigh or Rician fading models, and implementing positioning algorithms through geometric calculations or Kalman filtering approaches. The simulation experiments consider various factors such as different signal propagation environments, receiver station distributions, and parameter configurations to obtain more accurate analysis results. The MATLAB implementation typically includes functions for generating GSM signal waveforms, simulating multipath effects, and calculating positioning errors using statistical methods like root mean square error (RMSE) analysis. By statistically comparing results from multiple simulation experiments, researchers can draw conclusions about the performance characteristics of multi-station passive positioning systems. The simulation framework provides valuable insights for system design optimization, including sensitivity analysis of key parameters such as receiver spacing, signal-to-noise ratio thresholds, and antenna array configurations. The MATLAB code structure usually consists of modular components for signal generation, channel modeling, position estimation, and error analysis, allowing for systematic performance evaluation under various operational scenarios.