A square-root formulation of the sliding innovation filter for target tracking

W. Hilal; S. A. Gadsden; S. A. Wilkerson; M. A. AlShabi

doi:10.1117/12.2618965

8 June 2022 A square-root formulation of the sliding innovation filter for target tracking

W. Hilal, S. A. Gadsden, S. A. Wilkerson, M. A. AlShabi

Proceedings Volume 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI; 1212203 (2022) https://doi.org/10.1117/12.2618965
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

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.

Conference Presentation

Citation Download Citation

W. Hilal, S. A. Gadsden, S. A. Wilkerson, and M. A. AlShabi "A square-root formulation of the sliding innovation filter for target tracking", Proc. SPIE 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, 1212203 (8 June 2022); https://doi.org/10.1117/12.2618965

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