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- W1510100268 abstract "A spherical filter formulation is derived and the resulting nonlinear estimator is applied to a tactical air-to-air missile intercept problem. An Extended Kalman filter is used to estimate the target acceleration in the line-of-sight frame. The estimator models the target acceleration as a first-order Gauss-Markov process. A method suggested by Singer was used to select the process noise power spectral density matrix. Next, a kinematic constraint is used to improve the estimated target acceleration by using a fictitious measurement to augment the seeker measurements. Finally, a form of adaptive filtering is used to obtain a better value for the target acceleration time constant. These techniques are evaluated using a representative target engagement scenario." @default.
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- W1510100268 date "2005-08-25" @default.
- W1510100268 modified "2023-09-23" @default.
- W1510100268 title "Spherical target state estimators" @default.
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- W1510100268 doi "https://doi.org/10.1109/acc.1994.752356" @default.
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