An improved optimization method based on fuzzy clustering in MLAT for A-SMGCS

MLAT (Multilateration) is a necessary technique in A-SMGCS (Advanced - Surface Movement Guidance & Control System) in the future. The precision of MLAT is related to GDOP (Geometric Dilution of Precision) and TOA (Time of Arrival) accuracy of its distributed stations. In view of the optimization among the multi-stations, an improved method based on fuzzy clustering is proposed. Different stations constitute different combinations and lead to different locating results. But the distribution based on combinations with good condition is collective and clustered. So the modified fuzzy clustering is used to analyze the distribution, abstract the stations with good condition and achieve the goal of multi-stations optimization. The experimental results based on the simulations and practical data illustrate the proposed method is not only feasible but also more accurate than the traditional optimization method based on GDOP only.