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

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