Multi-Target Tracking based on the EK-GLMB Filter in 3D Using Active Radar with Velocity Measurement

The measurement collected by 3D (3-dimensional) active radar is usually a non-linear polar coordinate measurement and capture true targets and false clutter information. Furthermore, the true targets are usually unknown and time-varying and the correlation between targets and measurements is uncertain. Hence, multi-target tracking in 3D is extremely challenging. In this paper, we firstly establish 3D polar coordinate measurement model. Specifically, for the radar which can measure line-of-sight (LOS) rate and target Doppler information, we build 3D velocity-measurement model by modifying the former. Then, combined with the non-linear measurement model, a tracking algorithm based on the extended Kalman (EK) generalized labeled multi-Bernoulli (GLMB) filter is proposed for multitarget tracking in 3D. Finally, numerical results demonstrate the validity of the proposed method in 3D using active radar in the presence of detection uncertainty, false observations, and noise.

[1]  K. David Solomon Raj,et al.  Estimation of line-of-sight rate in a homing Missile Guidance loop using optimal filters , 2015, 2015 International Conference on Communications and Signal Processing (ICCSP).

[2]  Ba-Ngu Vo,et al.  An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter , 2016, IEEE Transactions on Signal Processing.

[3]  Ba-Ngu Vo,et al.  The Gaussian Mixture Probability Hypothesis Density Filter , 2006, IEEE Transactions on Signal Processing.

[4]  Giorgio Battistelli,et al.  Robust Fusion for Multisensor Multiobject Tracking , 2018, IEEE Signal Processing Letters.

[5]  Ba-Ngu Vo,et al.  Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter , 2013, IEEE Transactions on Signal Processing.

[6]  Ba-Ngu Vo,et al.  Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets , 2015, IEEE Transactions on Signal Processing.

[7]  Klaus C. J. Dietmayer,et al.  The Labeled Multi-Bernoulli Filter , 2014, IEEE Transactions on Signal Processing.

[8]  Ba-Ngu Vo,et al.  The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations , 2009, IEEE Transactions on Signal Processing.

[9]  Ba-Ngu Vo,et al.  A generalized labeled multi-Bernoulli tracker for time lapse cell migration , 2017, 2017 International Conference on Control, Automation and Information Sciences (ICCAIS).

[10]  S.S. Blackman,et al.  Multiple hypothesis tracking for multiple target tracking , 2004, IEEE Aerospace and Electronic Systems Magazine.

[11]  Vincent Lepetit,et al.  Stable real-time 3D tracking using online and offline information , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Hong-Wei Tian,et al.  Tracking a 3D maneuvering target using bearings-only measurements , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[13]  David Suter,et al.  Joint Detection and Estimation of Multiple Objects From Image Observations , 2010, IEEE Transactions on Signal Processing.

[14]  Ronald P. S. Mahler,et al.  Statistical Multisource-Multitarget Information Fusion , 2007 .

[15]  R. Mahler.  Multitarget Bayes filtering via first-order multitarget moments , 2003 .

[16]  Jeremie Houssineau,et al.  Passive multi target tracking with GM-PHD filter , 2010, 2010 13th International Conference on Information Fusion.

[17]  Klaus C. J. Dietmayer,et al.  The Labeled Multi-Bernoulli SLAM Filter , 2015, IEEE Signal Processing Letters.

[18]  Giorgio Battistelli,et al.  Robust Distributed Fusion With Labeled Random Finite Sets , 2017, IEEE Transactions on Signal Processing.

[19]  Ba-Ngu Vo,et al.  Multiple Object Tracking in Unknown Backgrounds With Labeled Random Finite Sets , 2017, IEEE Transactions on Signal Processing.

[20]  Ba-Ngu Vo,et al.  Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter , 2007, IEEE Transactions on Signal Processing.

[21]  Florian Nadel,et al.  Stochastic Processes And Filtering Theory , 2016 .

[22]  Ba-Ngu Vo,et al.  A Consistent Metric for Performance Evaluation of Multi-Object Filters , 2008, IEEE Transactions on Signal Processing.

[23]  Ba-Ngu Vo,et al.  Labeled Random Finite Sets and Multi-Object Conjugate Priors , 2013, IEEE Transactions on Signal Processing.

[24]  Petros G. Voulgaris,et al.  On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..

[25]  Shiyan Sun,et al.  Implementation and Simulation of a 3D Constant Turn Target Tracking Model , 2010, 2010 International Conference on Computational and Information Sciences.

[26]  Ba-Ngu Vo,et al.  Multiple Extended Target Tracking With Labeled Random Finite Sets , 2015, IEEE Transactions on Signal Processing.