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Basic development of the estimation, guidance, and control algorithms for guidance of an airborne missile during air-to-air combat engagements are examined. The extended Kalman filter is improved through the use of sample measurement statistics, through time-weighting the measurements, and through iterating within the Kalman filter. Numerical results are presented for comparing the performance of different filters.
Stringent demands on modern guided weapon systems require new approaches to guidance, control, and estimation. There are requirements for pinpoint accuracy, low cost per round, easy upgrade paths, enhanced performance in counter-measure environments, and the ability to track low-observable targets. Advances in Missile Guidance, Control, and Estimat