Non-parametric multi-target tracking with Doppler measurements

This paper investigates the problem of incorporating Doppler measurements to improve multi-target tracking performance. The clutter density in both spatial domain and Doppler direction is assumed to be unknown and non-homogeneous. Instead of modeling the clutter density as the product of the clutter spatial density and the clutter Doppler probability density function (pdf), this paper introduces a hyper-spatial density concept, where the Doppler direction is considered as an additional pseudo position dimension. The spatial sparsity estimator is extended to the hyper-spatial density estimation and is combined with the Joint Integrated Probabilistic Data Association (JIPDA) tracker to deal with non-parametric multi-target tracking problem with Doppler measurements. Monte Carlo simulation results demonstrate the effectiveness of the proposed approach.

[1]  Taek Lyul Song,et al.  Adaptive Clutter Measurement Density Estimation for Improved Target Tracking , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Yakov Bar-Shalom,et al.  Multitarget-Multisensor Tracking: Principles and Techniques , 1995 .

[3]  Zhansheng Duan.  Sequential Nonlinear Tracking Filter with Range-rate Measurements in Spherical Coordinates , 2004 .

[4]  Thia Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .

[5]  Taek Lyul Song,et al.  Correlated Doppler-assisted target tracking in clutter , 2013 .

[6]  Darko Musicki,et al.  Joint Integrated Probabilistic Data Association - JIPDA , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[7]  Darko Musicki,et al.  Doppler-aided target tracking in heavy clutter , 2010, 2010 13th International Conference on Information Fusion.

[8]  Gongjian Zhou,et al.  Statically Fused Converted Position and Doppler Measurement Kalman Filters , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Yaakov Bar-Shalom,et al.  A note on "book review tracking and data fusion: A handbook of algorithms" [Authors' reply] , 2013 .

[10]  Chongzhao Han,et al.  Sequential nonlinear tracking using UKF and raw range-rate measurements , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Xuezhi Wang,et al.  Efficient and Enhanced Multi-Target Tracking with Doppler Measurements , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[12]  T. Kirubarajan,et al.  Track segment association, fine-step IMM and initialization with Doppler for improved track performance , 2004, IEEE Transactions on Aerospace and Electronic Systems.

[13]  Peikun He,et al.  Use of the radial velocity measurement in target tracking , 2003 .

[14]  Daryl J. Daley,et al.  An Introduction to the Theory of Point Processes , 2013 .

[15]  Yoshio Kosuge,et al.  Target tracking using range rate measurements under dense environments , 2002 .