Taylor Series Expansion Algorithm - A Recursive Localization Method Requiring Initial Position Estimation
The Taylor Series Expansion algorithm is a recursive positioning method that requires an initial position estimate and iteratively refines the location by solving the local least squares of TDOA measurement errors. This MATLAB-based program simulates the Taylor Series Expansion algorithm implementation. The initial position selection is crucial and can be combined with simpler algorithms for more accurate source localization. The code demonstrates key aspects including TDOA error calculation, Jacobian matrix formulation, and iterative position updates using linear least squares solutions.