A Novel Divided Differential Filter with Application to Target Tracking

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Abstract:

In order to meet the requirements of target tracking problem in terminal guidance of intercepting an aircraft, based on Gaussian-Newton Iteration strategy, a novel divided differential filter was introduced, which guaranteed higher estimation accuracy than the commonly used EKF and UKF methods. The relative small computation load made it possible for real time implantation of the filter and simulations based on a typical terminal guidance model proved the correctness and effectiveness of the proposed filter.

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2510-2513

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhou Di: New Guidance Laws for Homing Missile (Publishing House of National Defense Industry, China 2002).

Google Scholar

[2] Bar-Shalom Y, Li X R, Kirubarajan T. : Estimation with application to tracking and navigation: theory, algorithm, and software (John Wiley & Sons Publications, USA 2001).

Google Scholar

[3] P. Zarchan: Tactical and Strategic Missile Guidance (Six Edition) (John Wiley & Sons Publications, USA 2012).

Google Scholar

[4] Simon Haykin: Kalman Filter and Neural Network (John Wiley & Sons Publications, USA 2001).

Google Scholar

[5] R. Van Der Merwe: Sigma-point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models. (Oregon Health Sciences University, 2004).

Google Scholar