Implementation of TAYLOR Algorithm for Wireless Localization

This function implements the TAYLOR algorithm for wireless localization through the following computational steps:

1. First, configure the initial conditions for wireless positioning based on input parameters, including anchor positions, measured distances, and initialization of the target location estimate.

2. Next, apply the TAYLOR algorithm to optimize and refine the wireless positioning solution. This involves constructing a Taylor series expansion around the current position estimate to linearize the nonlinear measurement equations.

3. During each iteration step of the TAYLOR algorithm, perform position correction and error adjustment based on the current localization results and error metrics. This typically involves calculating the Jacobian matrix of measurement equations and solving the linearized system using least-squares estimation.

4. Iterate the above steps until either the preset accuracy threshold is met or the maximum iteration count is reached. The convergence criteria may include position change tolerance or residual error thresholds.

By utilizing this function, the TAYLOR algorithm can be effectively implemented for wireless localization, achieving precise positioning results through systematic error minimization and iterative refinement of location coordinates.