Title :
Trellis based filtering
Author :
Kee, R.J. ; Irwin, G.W.
Author_Institution :
Short Brothers Plc, Belfast, UK
Abstract :
The work of K. Demirbas (1982, 1986, 1987, 1989) on using trellis diagrams for state estimation is extended. Techniques for improving the accuracy of the approach are considered, and a lack of robustness discovered in the original algorithm is highlighted. This is overcome by using the measurement equation to propagate the trellis, and the resulting filter is shown to be superior to the extended Kalman filter for some nonlinear examples
Keywords :
filtering and prediction theory; state estimation; measurement equation; robustness; state estimation; trellis diagrams; trellis propagation; trellis-based filtering; Decoding; Equations; Error probability; Filtering; Filters; Nonlinear systems; Quantization; Robustness; State estimation; Viterbi algorithm;
Conference_Titel :
Control Applications, 1992., First IEEE Conference on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0047-5
DOI :
10.1109/CCA.1992.269725
