Tracking refractivity from radar clutter using particle filter

Sheng Zheng; Chen Jia-Qing; Xu Ru-Hai

doi:10.7498/aps.61.069301

Abstract

Particle filter(PF) is an effective algorithm for the state recursive estimation in nonlinear and non-Gaussian dynamic systems by utilizing the Monte Carlo simulation, and it is applicable for solving the nonlinear and non-Gaussian RFC(refractivity from radar clutter) problems. The basic idea and the specific algorithm of PF are introduced; the implementation of the iterative inversion algorithm is derived finally. The experimental result indicates that the particle filter is suited to solve the nonlinear inversion problem and can effectively increase the stability and the accuracy of inversion results compared with the extended Kalman filter (EKF) and the unscented kalman filter (UKF).

Keywords:

Authors and contacts

1.
Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, China;
2.
Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China;
3.
Nanjing Research Institute of Electronics Technology, Nanjing 210013, China

Corresponding author: Sheng Zheng, 19994035@sina.com

Funds: Project supported by the National Natural Science Foundation of China (Grant No. 41105013), the National Natural Science Foundation of Jiangsu, China (Grant No. BK2011122), and the Open Issue Foundation of Key Laboratory of Meteorological Disaster of Ministry of Education, China (Grant No. KLME1109).

References

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[2]	Yan H J 1996 AJ. 112 1312
[3]	Gerstoft P, Rogers L T, Krolik J L Hodgkiss S W 2003 Radio Sci. 38 8053
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[6]	Gerstoft P, Hodgkiss S W, Rogers L T, Jablecki M 2004 Radio Sci. 39 6006
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[19]	Sheng Z 2011 Acta Phys. Sin. 60 ???? accepted (in Chinese) [盛峥 2011 60 ????]
[20]
[21]
[22]	Barrios A E 1994 IEEE Antennas Propag. 42 90
[23]	Sarkka S Vehtari A Lampinen J 2007 Info Fusion 8 2

Cited By

[1]
[2]	Yan H J 1996 AJ. 112 1312
[3]	Gerstoft P, Rogers L T, Krolik J L Hodgkiss S W 2003 Radio Sci. 38 8053
[4]
[5]
[6]	Gerstoft P, Hodgkiss S W, Rogers L T, Jablecki M 2004 Radio Sci. 39 6006
[7]
[8]	Yardim C, Gerstoft P, Hodgkiss W S 2006 IEEE Antennas Propag. 54 1318
[9]	Vasudevan S, Anderson H R, Kraut S, Gerstaft P, Rogers L T, Kro-lik J L 2007 Radio Sci. 42 2014
[10]
[11]
[12]	Douvenot R, Fabbro V, Gerstoft P, Bourlier C, Saillard J 2008 Ra-dio Sci. 43 3842
[13]	Yardim C, Gerstoft P, Hodgkiss W S 2009 Radio Sci. 44 3897 069301-5Acta Phys. Sin. Vol. 61, No. 6 (2012) 069301
[14]
[15]	Sheng Z, Huang S X 2010 Acta Phys. Sin. 59 1734 (in Chinese) [盛峥, 黄思训 2010 59 1734]
[16]
[17]	Sheng Z, Huang S X 2010 Acta Phys. Sin. 59 3912 (in Chinese) [盛峥, 黄思训 2010 59 3912]
[18]
[19]	Sheng Z 2011 Acta Phys. Sin. 60 ???? accepted (in Chinese) [盛峥 2011 60 ????]
[20]
[21]
[22]	Barrios A E 1994 IEEE Antennas Propag. 42 90
[23]	Sarkka S Vehtari A Lampinen J 2007 Info Fusion 8 2

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Catalog

Vol. 61, Issue 6 - 2012-03-20

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