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基于箱粒子的多扩展目标PHD滤波

DOI: 0.13195/j.kzyjc.2014.1081, PP. 1759-1765

Keywords: 箱粒子,区间分析,概率假设密度,多目标跟踪,扩展目标

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Abstract:

在高斯混合多扩展目标PHD滤波的基础上,结合最新兴起的箱粒子滤波,提出一种基于区间分析的多扩展目标PHD滤波算法.采用大小可控的非零矩形区域来代替传统的多个点量测,这样可降低权值计算中对量测分布的要求.仿真对比实验表明,采用区间分析方法在保证近似于传统滤波精度的同时可降低计算复杂度,在目标数目估计及抗杂波干扰方面也具有较为突出的优势,并且可解决在目标靠近时由于不能正确给出子划分而造成的漏检问题.

References

[1]  Gilholm K, Salmond D. Spatial distribution model for tracking extended objects[C]. IEE Proc on Radar, Sonar and Navigation. Stevenage, 2005: 364-371.
[2]  Gilholm K, Godsill S, Maskell S, et al. Poisson models for extended target and group tracking[C]. Int Society for Optics and Photonics. San Diego, 2005: 1-12.
[3]  Granstrom K, Lundquist C, Orguner U. A Gaussian mixture PHD filter for extended target tracking[C]. The 13th Conf on Information Fusion. Edinburgh: IEEE, 2010.
[4]  Mahler R P S. Multitarget Bayes filtering via first-order multitarget moments[J]. IEEE Trans on Aerospace and Electronic Systems, 2003, 39(4): 1152-1178.
[5]  Mahler R. PHD filters for nonstandard targets, I: Extended targets[C]. The 12th Int Conf on Information Fusion. Seattle: IEEE, 2009: 915-921.
[6]  Juang R, Burlina P. Comparative performance evaluation of GM-PHD filter in clutter[C]. The 12th Int Conf on Information Fusion. Seattle: IEEE, 2009: 1195-1202.
[7]  Moore R E, Cloud M J, Kearfott R B. Introduction to interval analysis[M]. Cambridge: Cambridge University Press, 2009: 7-19.
[8]  Jaulin L, Kieffer M, Didrit O, et al. Applied interval analysis: with examples in parameter and state estimation, robust control and robotics[M]. Berlin: Springer, 2001: 27-42.
[9]  Abdallah F, Gning A, Bonnifait P. Box particle filtering for nonlinear state estimation using interval analysis[J]. Automatica, 2008, 44(3): 807-815.
[10]  Gning A, Ristic B, Mihaylova L. Bernoulli particle/box-particle filters for detection and tracking in the presence of triple measurement uncertainty[J]. IEEE Trans on Signal Processing, 2012, 60(5): 2138-2151.
[11]  Gning A, Ristic B, Mihaylova L, et al. Introduction to box particle filtering[J]. IEEE Signal Processing Magazine, 2012, 30(4): 1-10.
[12]  Schikora M, Gning A, Mihaylova L, et al. Box-particle PHD filter for multi-target tracking[C]. The 15th Int Conf on Information Fusion. Singapore: IEEE, 2012: 106-113.
[13]  Gning A, Mihaylova L, Abdallah F. Mixture of uniform probability density functions for nonlinear state estimation using interval analysis[C]. The 13th Conf on Information Fusion. Edinburgh: IEEE, 2010.
[14]  Ristic B, Clark D, Vo B N. Improved SMC implementation of the PHD filter[C]. The 13th Conf on Information Fusion. Edinburgh: IEEE, 2010.

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