TY - JOUR AU - Cheng-Yu Liu AU - Chiun-Chien Liu AU - Pan-Chio Tuan PY - 2006/04/01 Y2 - 2024/03/29 TI - Algorithm of Impact Point Prediction for Intercepting Reentry Vehicles JF - Defence Science Journal JA - DSJ VL - 56 IS - 2 SE - Aeronautical Systems DO - 10.14429/dsj.56.1877 UR - https://publications.drdo.gov.in/ojs/index.php/dsj/article/view/1877 AB - Intercepting reentry vehicles is difficult because these move nearly at hypersonic speedsthat traditional interceptors cannot match. Counterparallel guidance law was developed fordefending a high speed target that guides the interceptor to intercept the target at a 180° aspectangle. When applying the counterparallel guidance law, it is best to predict the impact pointbefore launch. Estimation and prediction of a reentry vehicle path are the first steps in establishingthe impact point prediction algorithm. Model validation is a major challenge within the overalltrajectory estimation problem. The adaptive Kalman filter, consising of an extended Kalman filterand a recursive input estimator, accurately estimates reentry vehicle trajectory by means of aninput estimator which processes the model validation problem. This investigation presents analgorithm of impact point prediction for a reentry vehicle and an interceptor at an optimal interceptaltitude based on the adaptive Kalman filter. Numerical simulation using a set of data, generatedfrom a complicated model, verifies the accuracy of the proposed algorithm. The algorithm alsoperforms exceptionally well using a set of flight test data. The presented algorithm is effectivein solving the intercept problems. ER -