Liping Guo
ABSTRACT
Under low signal-to-noise ratio (SNR) target tracking, poor target information and high clutter limit the tracking effect. Extended targets potentially generate more than one measurement per time step. Multiple extended targets tracking is therefore can be used to improve tracking performance with low SNR, due to the expanded data than point targets tracking. Based on the classical probability hypothesis density (PHD) filter, the extended target PHD (ET- PHD) filter is proposed to track multiple extended targets. The main contribution of this paper is the improvement of the classical extended target Gaussian-mixture probability hypothesis density (ET-GM-PHD) filter. A method based on the ET-GM-PHD filter is proposed for decreasing false alarms and improving measurement set partition performance under low SNR cases. The optimized method is shown a better tracking performance in estimation accuracy of the targets number and targets state in comparison with a point PHD filter.
- N. Wahlström and E. Özkan, "Extended Target Tracking Using Gaussian Processes," in IEEE Transactions on Signal Processing, vol. 63, no. 16, pp. 4165-4178, Aug.15, 2015, doi: 10.1109/TSP.2015.2424194.Google Scholar
Digital Library
- W. Aftab, R. Hostettler, A. De Freitas, M. Arvaneh and L. Mihaylova, "Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes," in IEEE Transactions on Vehicular Technology, vol. 68, no. 3, pp. 2137-2151, March 2019, doi: 10.1109/TVT.2019.2891006.Google ScholarCross Ref
- Kevin Gilholm, Simon Godsill, Simon Maskell, and David Salmond "Poisson models for extended target and group tracking", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59130R (15 September 2005)Google Scholar
- Mahler R. Statistical Multisource-Multitarget Information Fusion [M]. Norwood, MA, USA: Artech House, 2007.Google Scholar
- Mahler R. Advance in Statistical Multisource-Multitarget Information Fusion [M]. Norwood, MA, USA: Artech House, 2014.Google Scholar
- R. Mahler, “Multi-target Bayes filtering via first-order multi-target moments,” IEEE Trans. Aerosp. Electron. Syst., vol. 39, no. 4, pp.1152–1178, 2003Google ScholarCross Ref
- C. Peng and W. Ye, "An Improved Adaptive ET-PHD Algorithm for Newborn Target Intensity," 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2018, pp. 2137-2142, doi: 10.1109/IAEAC.2018.8577717.Google Scholar
- K. Granstrom, C. Lundquist and O. Orguner, "Extended Target Tracking using a Gaussian-Mixture PHD Filter," in IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 4, pp. 3268-3286, October 2012, doi: 10.1109/TAES.2012.6324703.Google ScholarCross Ref
- D. Yang, W. Yi, S. Li, L. Kong and B. Wang, "Extended target tracking with particle filtering in coherent MIMO radar," IET International Radar Conference 2015, 2015, pp. 1-6, doi: 10.1049/cp.2015.1155.Google Scholar
- J. W. Koch, "Bayesian approach to extended object and cluster tracking using random matrices," in IEEE Transactions on Aerospace and Electronic Systems, vol. 44, no. 3, pp. 1042-1059, July 2008, doi: 10.1109/TAES.2008.4655362.Google ScholarCross Ref
- K. Granstrom and U. Orguner, "A phd Filter for Tracking Multiple Extended Targets Using Random Matrices," in IEEE Transactions on Signal Processing, vol. 60, no. 11, pp. 5657-5671, Nov. 2012, doi: 10.1109/TSP.2012.2212888.Google ScholarDigital Library
- H. Li, F. Bu, L. Li and J. Zhou, "Extended Target Measurement Set Partition Algorithm Based on KFCM Clustering," 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP), 2020, pp. 1065-1070, doi: 10.1109/ICSIP49896.2020.9339388.Google Scholar
- K. Granström, A. Natale, P. Braca, G. Ludeno and F. Serafino, "Gamma Gaussian Inverse Wishart Probability Hypothesis Density for Extended Target Tracking Using X-Band Marine Radar Data," in IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 12, pp. 6617-6631, Dec. 2015, doi: 10.1109/TGRS.2015.2444794.Google ScholarCross Ref
- H. Li, F. Bu, L. Li and J. Zhou, "Extended Target Measurement Set Partition Algorithm Based on KFCM Clustering," 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP), 2020, pp. 1065-1070, doi: 10.1109/ICSIP49896.2020.9339388.Google Scholar
- B. Vo, B. Vo, N. Pham and D. Suter, "Joint Detection and Estimation of Multiple Objects From Image Observations," in IEEE Transactions on Signal Processing, vol. 58, no. 10, pp. 5129-5141, Oct. 2010, doi: 10.1109/TSP.2010.2050482.Google ScholarDigital Library
- G. Wang, R. M. Inigo and E. S. McVey, "A single-pixel target detection and tracking system," [1990] Proceedings. 10th International Conference on Pattern Recognition, 1990, pp. 99-103 vol.1, doi: 10.1109/ICPR.1990.118072.Google ScholarCross Ref
- Schuhmacher D, Vo B T, Vo A B N. A Consistent Metric for Performance Evaluation of Multi-Object Filters [J]. IEEE Transactions on Signal Processing, 2008, 56(8): 3447-3457.Google ScholarCross Ref
Index Terms
- Optimization Tracking Algorithm Based on Extended Target Gaussian Mixture PHD Filter
Recommendations
A novel fast partitioning algorithm for extended target tracking using a Gaussian mixture PHD filter
In an extended target PHD filter, the exact filter requires all possible partitions of the current measurement set for updating, which is computationally intractable. In order to limit the number of partitions, a fast partitioning algorithm for extended ...
A box-particle implementation of standard PHD filter for extended target tracking
The paper presents a box-particle implementation of the standard PHD filter. The proposed ET-Box-PHD filter is derived by the cell likelihood function defined. The proposed filter is suitable to the strong clutter surveillance areas. This paper presents ...
Non-ellipsoidal extended targets tracking from image observations based on ECK-MB-sub-random matrices filter
AbstractJoint detection and tracking of multiple extended objects from image observations is a challenging radar technology; especially for small back-scattering objects such as extended stealth targets (ESTs). This work provides a new approach for the ...
Comments