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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© 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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