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On Kalman Filtering with Nonlinear Equality Constraints

Julier, SJ; LaViola, JJ; (2007) On Kalman Filtering with Nonlinear Equality Constraints. IEEE Transactions on Signal Processing , 55 (6) 2774 - 2784. 10.1109/TSP.2007.893949. Green open access

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Abstract

The state space description of some physical systems possess nonlinear equality constraints between some state variables. In this paper, we consider the problem of applying a Kalman filter-type estimator in the presence of such constraints. We categorize previous approaches into pseudo-observation and projection methods and identify two types of constraints-those that act on the entire distribution and those that act on the mean of the distribution. We argue that the pseudo-observation approach enforces neither type of constraint and that the projection method enforces the first type of constraint only. We propose a new method that utilizes the projection method twice-once to constrain the entire distribution and once to constrain the statistics of the distribution. We illustrate these algorithms in a tracking system that uses unit quaternions to encode orientation.

Type: Article
Title: On Kalman Filtering with Nonlinear Equality Constraints
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TSP.2007.893949
Additional information: Imported via OAI, 7:29:01 11th Sep 2007
Keywords: kalman filtering, quaternions, measurement matrix, nonlinear constraints
URI: http://discovery.ucl.ac.uk/id/eprint/3332
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