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Studies on Single Observer Passive Location Tracking Algorithm Based on LMS-PF

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 107))

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.

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Correspondence to Jing-bo He .

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© 2012 Springer Science+Business Media B.V.

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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

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  • DOI: https://doi.org/10.1007/978-94-007-1839-5_1

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-1838-8

  • Online ISBN: 978-94-007-1839-5

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