1：Experimental Design and Method Selection:

The study involved simulation experiments using MATLAB to model dynamic errors and practical experiments with a four-transmitter network to validate the model. The methodology included error cause analysis, model construction, and uncertainty quantification.

2：Sample Selection and Data Sources:

A receiver moving at speeds of 30 mm/s, 60 mm/s, and 120 mm/s along a linear trajectory generated by a linear guide was used. Points were distributed uniformly in horizontal planes at z=0, z=1000, and z=2000 mm for simulations.

3：List of Experimental Equipment and Materials:

Four transmitters with rotation speeds of 1600, 1800, 2000, and 2200 rev/min, a linear guide with straightness error better than 0.07 mm, photoelectric receivers, signal processors, and a terminal computer. MATLAB software for simulations.

4：07 mm, photoelectric receivers, signal processors, and a terminal computer. MATLAB software for simulations. Experimental Procedures and Operational Workflow:

4. Experimental Procedures and Operational Workflow: For simulations, dynamic time error was captured and coordinate uncertainty was calculated. For practical experiments, the network was calibrated, the receiver moved at specified speeds, and coordinates were recorded to evaluate straightness error.

5：Data Analysis Methods:

Error propagation models were used, including Jacobian matrices and uncertainty analysis algorithms. Root-mean-square errors and deviations between simulation and experimental results were calculated.