Fang Algorithm for 2D Signal Source Localization Using Three Base Stations

The Fang algorithm performs 2D localization of signal sources using three base stations, serving as a fundamental method for passive source localization. This MATLAB-based program simulates the complete localization process of the Fang algorithm, providing implementation insights including time difference of arrival (TDOA) calculations, hyperbolic positioning equations, and least-squares estimation. The simulation demonstrates key functions for coordinate solving and error analysis, offering valuable assistance for researchers in passive localization studies.

Non-Iterative Hyperbolic Equation System Solution with Analytical Expression Resolution

Y.T. Chan's paper presents a non-recursive hyperbolic equation system solution featuring analytical expression-based resolution. This algorithm offers computational efficiency with minimal calculations and rapid processing speed. When TDOA parameter estimation errors follow a Gaussian distribution, it achieves high positioning accuracy. This MATLAB implementation adapts Chan's proposed algorithm to estimate signal source locations using known TDOA estimation parameters. The program provides valuable assistance for researchers working on interference source localization and passive positioning systems, featuring optimized matrix operations and error handling mechanisms.