TDOA Passive Time Difference Localization Taylor Algorithm with MATLAB Implementation

This article explores the operational principles of the TDOA passive time difference localization Taylor algorithm and provides corresponding MATLAB source code for reference. The TDOA passive time difference localization Taylor algorithm is designed for locating passive sensor nodes by calculating time differences between two or more sensor nodes to determine target positions. Specifically, the algorithm measures time differences of signal arrival from a source to multiple sensor nodes, then utilizes these differences to compute the signal source's coordinates. Our MATLAB implementation demonstrates practical application of the Taylor series expansion method for solving hyperbolic positioning equations. The code includes key functions for time difference measurement, initial position estimation, and iterative Taylor series refinement with convergence validation. This implementation helps readers better understand and apply the algorithm through concrete examples showing coordinate calculation, error handling, and performance optimization techniques.