Application of the sliding innovation filter to complex road

Mohammad AlShabi; Andrew Gadsden

doi:10.1117/12.2619571

8 June 2022 Application of the sliding innovation filter to complex road

Mohammad AlShabi, Andrew Gadsden

Proceedings Volume 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI; 121220A (2022) https://doi.org/10.1117/12.2619571
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

The sliding innovation filter (SIF) is a newly developed filter that may be applied to both linear and non-linear systems. The SIF shares similar principles with sliding mode observers (SMO) and other variable structure filters such as the smooth variable structure filter (SVSF). The SIF utilizes the true trajectory as a hyperplane and forces the estimates to stay within a region of the hyperplane through the use of a discontinuous correction gain. In this paper, the SIF is applied to the well-known complex road estimation problem with nonlinear system function. The results of the application are compared with the SVSF, and future work is discussed.

Citation Download Citation

Mohammad AlShabi and Andrew Gadsden "Application of the sliding innovation filter to complex road", Proc. SPIE 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, 121220A (8 June 2022); https://doi.org/10.1117/12.2619571

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