An adaptive Kalman filter bank with a built-in 'learning' process for generating radome aberration error slope estimates has gone through the preliminary desgn stages. This modern Kalman filter technique in the switching environment can recognize the rapid changing processes in the radome slope parameter which severely limits the conventional adaptive control and estimation approach. This unique adaptive feature involves calculating the critical a posteriori probabilities in a manner where the semi-Markov statistics of a random starting process are used to make the intermediate predictive step. The estimator results seem to follow the actual radome ereror changes very well with compensation for the seeker dynamic lag. Further improvement on the dynamic response time is needed. This scheme has been imbedded into the guidance filtering loop to evaluate the terminal guidance performance enhancements obtainable in the presence of a worst case radome error environment for the high-altitude, high-speed threat. Preliminary results indicate encouraging improvement in the miss-distance and acceleration command histories.
Adaptive estimation scheme for radome error calibration
Adaptives Schaetzverfahren fuer die Fehlerkalibrierung in der Radarnase einer Rakete
Proc. of the 22nd IEEE Conf. on Decision and Control ; 2 ; 546-551
1983
6 Seiten, 7 Bilder, 7 Quellen
Aufsatz (Konferenz)
Englisch
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