Practical Approach for Kalman Filtering with Autocorrelated Noise Containing Uncertain Parameters-Reference-Cited by-同舟云学术

Practical Approach for Kalman Filtering with Autocorrelated Noise Containing Uncertain Parameters

Author:

Langel Steven¹,Joerger Mathieu²,Khanafseh Samer³,Pervan Boris³

Affiliation:

1. The MITRE Corporation, Bedford, Massachusetts 01730

2. Virginia Tech, Blacksburg, Virginia 24061

3. Illinois Institute of Technology, Chicago, Illinois 60616

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering,Control and Systems Engineering

Reference8 articles.

2. GelbA. (ed.), Applied Optimal Estimation, MIT Press, Cambridge, MA, 1974, pp. 246–254, Chap. 7.

3. PapoulisA.PillaiS. U., Probability, Random Variables and Stochastic Processes, McGraw–Hill, New York, 2002, pp. 397–404, Chap. 9.

4. AndersonB. D. O.MooreJ. B., Optimal Filtering, Dover, New York, 1979, pp. 296–303, Chap. 11.

5. GradshteynI. S.RyzhikI. M., Table of Integrals, Series and Products, 7th ed., Elsevier, Burlington, MA, 2007, p. 22.

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