Abstract
As the emitter’s velocity is given, it could be located by single observer. According to the tracking convergence fast specialty of the linear minimum mean-square error filter and the tracking accuracy specialty of the particle filter, a new passive location algorithm based on a LMS-PF is presented. It is compared with linear minimum mean-square error filtering and extended kalman filtering in passive location. It is proved that the location error by the algorithm is less than by other algorithms.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bar-Shalom Y (1993) Estimation and tracking, principles, techniques, and software. Artech House, Boston
Bell M, Cathey W (1993) The iterated Kalman filter update as a Gauss-Newton method. IEEE Trans Autom Control 38(2):294–297
Song TL, Speyer J (1985) A stochastic analysis of a modified gain extended Kalman filter with application to estimation with bearing only measurements. IEEE Trans Autom Control 30(10):940–949
Galkowski P, Islam M (1991) An alternative derivation of modified gain function of Song and Speyer. IEEE Trans Autom Control 36(11):1322–1326
Doucet A, Godsill SJ, Andrieu C (2000) On sequential simulation-based methods for Bayesian filtering. Statist Comput 10(3):197–208
Doucet A, de Freitas N, Gordon N (2001) Sequential Monte Carlo methods in practice. Spring-Verlag, New York
Gilks W, Richardson S, Spiegelhalter D (1996) Markov chain Monte Carlo in practice. Chapman & Hall, London
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media B.V.
About this paper
Cite this paper
He, Jb., Hu, Sl., Liu, Z. (2012). Studies on Single Observer Passive Location Tracking Algorithm Based on LMS-PF. In: He, X., Hua, E., Lin, Y., Liu, X. (eds) Computer, Informatics, Cybernetics and Applications. Lecture Notes in Electrical Engineering, vol 107. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1839-5_1
Download citation
DOI: https://doi.org/10.1007/978-94-007-1839-5_1
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-1838-8
Online ISBN: 978-94-007-1839-5
eBook Packages: EngineeringEngineering (R0)