Recent Developments in Kalman Filtering with Applications in Navigation

作者: Hans-Jürgen Hotop

DOI: 10.1016/S0065-2539(08)60144-4

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摘要: Publisher Summary This chapter outlines a part of different Kalman filter algorithms, with regard to their computer time usage and numerical stability. A new algorithm is presented in the advantage over conventional formulations discussed. In recent years, technique has been used for more applications, example, speech parameter estimation, image processing, traffic control, control turbines, tracking problems, etc. The basic application support inertial navigation systems. short introduction navigation, radio combination these systems shall explain problems examination development algorithm. provides comparison various by evaluation highly accurate reference path data aircraft usage. this case, simulation as well real flight radar utilized.

参考文章(59)
A.K. Caglayan, R.E. Lancraft, A BIAS Identification and State Estimation Methodology for Nonlinear Systems IFAC Proceedings Volumes. ,vol. 15, pp. 1313- 1318 ,(1982) , 10.1016/S1474-6670(17)63179-3
H. Rutishauser, Handbook for Automatic Computation Springer Berlin Heidelberg. ,(1967) , 10.1007/978-3-642-86934-1
Arthur Gelb, Applied Optimal Estimation ,(1974)
Walter Wrigley, Walter M. Hollister, William G. Denhard, Gyroscopic Theory, Design and Instrumentation ,(1969)
Anita Bittner, L. Bittner, V. N. Faddejewa, D. K. Faddeev, Numerische Methoden der linearen Algebra Deutscher Verlag der Wissenschaften. ,(1970)
Donald Charles Fraser, A new technique for the optimal smoothing of data Massachusetts Institute of Technology. ,(1967)
Enzmann, Taschenbuch der Mathematik Harri Deutsch. ,(1966)
Marek Fisz, Wahrscheinlichkeitsrechnung und mathematische Statistik VEB Deutscher Verlag der Wissenschafte. ,(1966)