Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31316| Title: | A square-root formulation of the sliding innovation filter for target tracking |
| Authors: | Hilal W Gadsden SA Wilkerson SA Al-Shabi M |
| Department: | Mechanical Engineering |
| Keywords: | 40 Engineering;4001 Aerospace Engineering |
| Publication Date: | 8-Jun-2022 |
| Publisher: | SPIE, the international society for optics and photonics |
| Abstract: | The sliding innovation filter (SIF) is a state and parameter estimation strategy based on sliding mode concepts. It has seen significant development and research activity in recent years. In an effort to improve upon the numerical stability of the SIF, a square-root formulation is derived. The square-root SIF is based on Potter's algorithm. The proposed formulation is computationally more efficient and reduces the risks of failure due to numerical instability. The new strategy is applied on target tracking scenarios for the purposes of state estimation. The results are compared with the popular Kalman filter. |
| URI: | http://hdl.handle.net/11375/31316 |
| metadata.dc.identifier.doi: | https://doi.org/10.1117/12.2618965 |
| ISBN: | 978-1-5106-5120-3 |
| ISSN: | 0277-786X 1996-756X |
| Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 131-1212203.pdf | Published version | 413.37 kB | Adobe PDF | View/Open |
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