Kalman Filter Behavior in Bearings-Only Tracking Applications

作者: Vincent Aidala

DOI: 10.1109/TAES.1979.308793

关键词:

摘要: … Moreover, if large values of ao are used for filter initialization, it follows from (26) that Pu(0 k) should also contribute the dominant eigenvalues to P(0 k) whenever rank [B(k)] < 3. This …

参考文章(8)
David W. Whitcombe, Pseudo State Measurements Applied to Recursive Nonlinear Filtering Defense Technical Information Center. ,(1972) , 10.21236/AD0767189
James Poirot, Gerald McWilliams, Navigation by Back Triangulation IEEE Transactions on Aerospace and Electronic Systems. ,vol. 12, pp. 270- 274 ,(1976) , 10.1109/TAES.1976.308304
J.C. Hassab, Passive tracking of a moving source by a single observer in shallow water Journal of Sound and Vibration. ,vol. 44, pp. 127- 145 ,(1976) , 10.1016/0022-460X(76)90712-4
Alien Lingren, Kai Gong, Position and Velocity Estimation Via Bearing Observations IEEE Transactions on Aerospace and Electronic Systems. ,vol. 14, pp. 564- 577 ,(1978) , 10.1109/TAES.1978.308681
Arthur Albert, Robert W. Sittler, A Method for Computing Least Squares Estimators that Keep Up with the Data Journal of the Society for Industrial and Applied Mathematics Series A Control. ,vol. 3, pp. 384- 417 ,(1965) , 10.1137/0303026
V. Aidala, Parameter estimation via the kalman filter IEEE Transactions on Automatic Control. ,vol. 22, pp. 471- 472 ,(1977) , 10.1109/TAC.1977.1101518
WADE FOY, Position-Location Solutions by Taylor-Series Estimation IEEE Transactions on Aerospace and Electronic Systems. ,vol. 2, pp. 187- 194 ,(1976) , 10.1109/TAES.1976.308294