| Citation: | MA Tianli, WANG Xinmin, CAO Yuyan, et al. A CDKF-CPHD multi-target tracking algorithm based on ML background parameter estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(3): 516-523. doi: 10.13700/j.bh.1001-5965.2016.0189(in Chinese)
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Aimed at the problem of multiple maneuvering targets tracking in low signal-to-clutter ratio backgrounds, a central difference Kalman cardinalized probability hypothesis density filter based on maximum likelihood (ML) background parameter estimation (BE-CDKF-CPHD) is proposed. The ML method is used for estimating the parameters of heavy-tailed distribution, and calculating the detection probability and false alarm probability. The maximum-likelihood constant false alarm rate (ML-CFAR) is employed to process signals. In the CPHD filter, amplitude likelihood function is combined with the likelihood function of target position of the probability hypothesis density filter. The multiple maneuvering target tracking is fulfilled by estimating the mean and variance of posterior multi-target states with central difference Kalman filter. Simulation results show that the novel algorithm improves the estimate performance of target state and number.
| [1] |
STONE L D, STREIT R L, CORWIN T L, et al.Bayesian multiple target tracking[M].2nd ed.London:Artech House, 2013:1-5.
|
| [2] |
MAHLER R P S.Statistical multisource-multitarget information fusion[M].London:Artech House, 2007:5-13.
|
| [3] |
YIN J J, ZHANG J Q, ZHUANG Z S.Gaussian sum PHD filtering algorithm for nonlinear non-Gaussian models[J].Chinese Journal of Aeronautics, 2008, 21(4):341-351. doi: 10.1016/S1000-9361(08)60045-X
|
| [4] |
VO B N, SINGH S, DOUCET A.Sequential Monte Carlo methods for multitarget filtering with random finite sets[J].IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(4):1224-1245. doi: 10.1109/TAES.2005.1561884
|
| [5] |
VO B N, MA W K.The Gaussian mixture probability hypothesis density filter[J].IEEE Transactions on Signal Processing, 2006, 54(11):4091-4104. doi: 10.1109/TSP.2006.881190
|
| [6] |
CLARK D, VO B T, VO B N.Gaussian particle implementations of probability hypothesis density filters[C]//Proceedings of IEEE Aerospace Conference.Piscataway, NJ:IEEE Press, 2007:1-11.
|
| [7] |
陈里铭, 陈喆, 殷福亮.基于中心差分卡尔曼-概率假设密度滤波的多目标跟踪方法[J].控制与决策, 2013, 28(1):36-42. http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201301006.htm
CHEN L M, CHEN Z, YIN F L.Central difference Kalman-probability hypothesis density filter for multi-target tracking[J].Control and Decision, 2013, 28(1):36-42(in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201301006.htm
|
| [8] |
章飞, 周杏鹏, 陈小惠.基于幅值信息的联合概率数据关联粒子滤波算法[J].系统工程与电子技术, 2011, 33(2):453-457. http://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201102045.htm
ZHANG F, ZHOU X P, CHEN X H.Joint probabilistic data association particle filter algorithm based on amplitude information title[J].Systems Engineering and Electronics, 2011, 33(2):453-457(in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201102045.htm
|
| [9] |
LERRO D, BAR-SHALOM Y.Interacting multiple model tracking with target amplitude feature[J].IEEE Transactions on Aerospace and Electronic Systems, 1993, 29(2):494-509. doi: 10.1109/7.210086
|
| [10] |
BAE S H, KIM D Y, YOON J H, et al.Automated multi-target tracking with kinematic and non-kinematic information[J].IET Radar Sonar Navigation, 2012, 6(4):272-281. doi: 10.1049/iet-rsn.2011.0154
|
| [11] |
CLARK D, RISTIC B, VO B N.PHD filtering with target amplitude feature[C]//Proceedings of the 11th International Conference on Information Fusion, FUSION 2008.Piscataway, NJ:IEEE Press, 2008:1-7.
|
| [12] |
QIU C, ZHANG Z, LU H, et al.Amplitude-aided CPHD filter for multitarget tracking in infrared images[J].Progress in Electromagnetics Research B, 2014, 61(1):211-224. https://www.researchgate.net/publication/273291606_Amplitude-aided_CPHD_filter_for_multitarget_tracking_in_infrared_images
|
| [13] |
ABRAHAM D.Choosing a non-Rayleigh reverberation model[C]//Proceedings of the OCEANS '99 MTS/IEEE-Riding the Crest into the 21st Century.Piscataway, NJ:IEEE Press, 1999, 1:284-288.
|
| [14] |
WARD K D, WATTS S, TOUGH R J A.Sea clutter:Scattering, the K distribution and radar performance[M].2nd ed.London:IET, 2013:375-389.
|
| [15] |
BREKKE E, HALLINGSTAD O, GLATTETRE J.Tracking small targets in heavy-tailed clutter using amplitude information[J].IEEE Journal of Oceanic Engineering, 2010, 35(2):314-329. doi: 10.1109/JOE.2010.2044670
|
| [16] |
杨谋存, 聂宏.三参数Weibull分布参数的极大似然估计数值解法[J].南京航空航天大学学报, 2007, 39(1):22-25. http://www.cnki.com.cn/Article/CJFDTOTAL-NJHK200701004.htm
YANG M C, NIE H.Advanced algorithm for maximum likelihood estimation of three parameter Weibull distribution[J].Journal of Nanjing University of Aeronautics and Astronautics, 2007, 39(1):22-25(in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-NJHK200701004.htm
|
| [17] |
RICHARDS M A.Fundamentals of radar signal processing[M].New York:Tata McGraw-Hill Education, 2005:347-382.
|
| [18] |
RAVID R, LEVANON N.Maximum-likelihood CFAR for Weibull background[J].IEE Proceedings, Part F:Radar and Signal Processing, 1992, 139(3):256-264. doi: 10.1049/ip-f-2.1992.0033
|
| [19] |
NØRGAARD M, POULSEN N K, RAVN O.New developments in state estimation for nonlinear systems[J].Automatica, 2000, 36(11):1627-1638. doi: 10.1016/S0005-1098(00)00089-3
|
| [20] |
BEARD M, VO B T, VO B N, et al.Gaussian mixture PHD and CPHD filtering with partially uniform target birth[C]//International Conference on Information Fusion.Piscataway, NJ:IEEE Press, 2012:535-541.
|
| [21] |
SCHUHMACHER D, VO B T, VO B N.A consistent metric for performance evaluation of multi-object filters[J].IEEE Transactions on Signal Processing, 2008, 56(8):3447-3457. doi: 10.1109/TSP.2008.920469
|
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