Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking

Ronghua Guo1; Zheng Qin2; Xiangnan Li2; Junliang Chen2

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Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking

机译：与地面目标跟踪相互作用多模型粒子型过滤方法

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—Ground maneuvering target tracking is a class of nonlinear and/or no-Gaussian filtering problem. A new interacting multiple model unscented particle filter (IMMUPF) is presented to deal with the problem. A bank of unscented particle filters is used in the interacting multiple model (IMM) framework for updating the state of moving target. To validate the algorithm, two groups of multiple model filters: IMM-type filters and particle-type multiple model filters, are compared for their capability in dealing with ground maneuvering target tracking problem. Simulation shows that particle-type filters outperform IMM-type filters in the estimate accuracy and the IMMUPF method relatively has much better performance than the IMMPF method.

机译：地铁机动目标跟踪是一类非线性和/或无高斯过滤问题。提出了一种新的交互无需粒子滤波器（ImmuPF）以处理问题。在交互多模型（IMM）框架中使用一组无编号的粒子滤波器，用于更新移动目标状态。为了验证算法，两组多组多模型过滤器：IMM型滤波器和粒子型多模型过滤器，以其在处理地面机动目标跟踪问题方面的能力进行比较。仿真表明，粒子型过滤器在估计精度下优于IMM型过滤器，并且IMMUPF方法比IMMPF方法相对更好。

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《Journal of Computers》 |2008年第7期|共8页
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Ronghua Guo1; Zheng Qin2; Xiangnan Li2; Junliang Chen2;
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1. Multirate interacting multiple model filtering for target tracking using multirate models [J] . Lang Hong IEEE Transactions on Automatic Control . 1999,第7期

机译：多速率交互多模型过滤以使用多速率模型进行目标跟踪
2. Unscented Information Filtering with Interacting Multiple Model for Multiple Sensor Target Tracking [J] . Daekeun Jeon, Yeonju Eun, Hyochoong Bang, Transactions of the Japan society for aeronautical and space sciences . 2013,第2期

机译：具有多模型交互作用的多传感器目标跟踪的无味信息过滤
3. An Improved Interacting Multiple Model Filtering Algorithm Based on the Cubature Kalman Filter for Maneuvering Target Tracking [J] . Wei Zhu, Wei Wang, Gannan Yuan Sensors . 2016,第6期

机译：基于Cubature卡尔曼滤波的机动目标跟踪的改进交互多模型滤波算法。
4. Comparison of interactive multiple model particle filter and interactive multiple model unscented particle filter for tracking multiple manoeuvring targets in sensors array [C] . Messaoudi Zahir, Ouldali Abdelaziz, Oussalah Mourad 2010 IEEE 9th International Conference on Cybernetic Intelligent Systems . 2010

机译：交互式多模型粒子滤波器与交互式多模型无味粒子滤波器在传感器阵列中跟踪多个机动目标的比较
5. A Comparison of the Probability Hypothesis Density Filter and the Multiple Hypothesis Tracker for Tracking Targets of Multiple Types [D] . Brodovsky, James A. 2019

机译：概率假设密度滤波器和多假假设跟踪器的比较跟踪多种类型的目标
6. An Improved Interacting Multiple Model Filtering Algorithm Based on the Cubature Kalman Filter for Maneuvering Target Tracking [O] . Wei Zhu, Wei Wang, Gannan Yuan 2016

机译：基于Cubature卡尔曼滤波的机动目标跟踪的交互式多模型滤波改进算法。
7. Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking [O] . Guo Ronghua, See Profile, Ronghua Guo, 2016

机译：交互式多模型粒子型滤波方法在地面目标跟踪中的应用
8. Tracking Splitting Targets in Clutter by Using an Interacting Multiple ModelJoint Probabilistic Data Association Filter [R] . Bar-Shalom, Y., Chang, K. C., Blom, H. A. P. 1992

机译：利用交互式多模型联合概率数据关联过滤器跟踪杂波中的分裂目标

Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking

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