Decorrelation of Previously Communicated Information for an Interacting Multiple Model Filter

Acar Duygu; Orguner Umut

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Decorrelation of Previously Communicated Information for an Interacting Multiple Model Filter

机译：以前传达的交互信息的去相关性用于交互多模型滤波器

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In a sensor network compensation of the correlated information caused by previous communication is of utmost interest for distributed estimation. In this article, we investigate an information decorrelation approach that can be applied when using interacting multiple model filters in the sensor nodes for a family of jump Markov linear systems. Implementation issues that might arise while applying the decorrelation approach are addressed in detail. The investigated approach is compared with alternatives on simple distributed single maneuvering target tracking examples.

机译：在传感器网络中，通过以前的通信引起的相关信息的补偿对于分布式估计是最令人兴趣的。在本文中，我们调查信息去相关方法，可以在使用跳转马尔可夫线性系统的传感器节点中的交互多模型过滤器时应用。在申请去序方法时可能出现的实施问题得到详细介绍。将调查方法与简单分布式单机动目标跟踪示例进行比较。

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来源
《IEEE Transactions on Aerospace and Electronic Systems》 |2021年第1期|404-422|共19页
作者
Acar Duygu; Orguner Umut;
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作者单位

Middle East Tech Univ Dept Elect & Elect Engn TR-06800 Ankara Turkey|ASELSAN Inc TR-06200 Ankara Turkey;

Middle East Tech Univ Dept Elect & Elect Engn TR-06800 Ankara Turkey;

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正文语种 eng
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关键词
Decorrelation; Correlation; Target tracking; Markov processes; State estimation; Computer architecture; Distributed estimation; information decorrelation; interacting multiple model (IMM) filter; maneuvering target tracking; tracklet;

机译：去相关;相关;目标跟踪;马尔可夫进程;状态估计;计算机架构;分布式估计;信息去相关;交互多模型（IMM）过滤器;机动目标跟踪;轨迹;

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1. Multirate interacting multiple model filtering for target trackingusing multirate models [J] . Lang Hong IEEE Transactions on Automatic Control . 1999,第7期

机译：使用多速率模型进行目标跟踪的多速率交互多模型过滤
2. 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
3. Diffuse Field Modeling Using Physically-Inspired Decorrelation Filters: Improvements to the Filter Design Method [J] . DAVID ROMBLOM Journal of the Audio Engineering Society . 2017,第11期

机译：使用物理启发式解相关滤波器的扩散场建模：滤波器设计方法的改进
4. Information Decorrelation for an Interacting Multiple Model Filter [C] . Duygu Acar, Umut Orguner International Conference on Information Fusion . 2018

机译：交互多模型过滤器的信息解相关
5. An Improved Approach to State-of-Age Estimation for Lithium-Ion Battery Cells Using Interacting Multiple Model Kalman Filters [D] . Smiley, Adam J. 2019

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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. Unscented Information Filtering with Interacting Multiple Model for Multiple Sensor Target Tracking [O] . Daekeun JEON, Yeonju EUN, Hyochoong BANG, 2013

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8. Sensor Management Using Discrimination Gain and Interacting Multiple Model Kalman Filters [R] . Schmaedeke, W. , Kastella, K. 1998

机译：利用识别增益和交互式多模型卡尔曼滤波器进行传感器管理

Decorrelation of Previously Communicated Information for an Interacting Multiple Model Filter

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