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检索条件"主题词=Interacting Multiple Model algorithm"
21 条 记 录,以下是11-20 订阅
排序:
IMM algorithm Based on H∞ Filter for Maneuvering Target Tracking
IMM Algorithm Based on H∞ Filter for Maneuvering Target Tra...
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第36届中国控制会议
作者: Meiqin Liu Zhen Fan Xie Wang Senlin Zhang State Key Laboratory of Industrial Control Technology Zhejiang University College of Electrical Engineering Zhejiang University
Correct knowledge of noise statistics is essential for an effective estimator in maneuvering target *** practice,however,the noise statistics are usually unknown or not perfectly *** deal with the estimation problem i... 详细信息
来源: 评论
The two interacting multiple model algorithms with removing error measurement  11
The two interacting multiple model algorithms with removing ...
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2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
作者: Wang, Wei Li, Dan School of Science Naval Univ. of Technology Wuhan China
In the centralized multi-sensor system, there is often a problem that how to remove measurements used early from the current state estimation, then re-calculate the current state estimation. The interacting multiple m... 详细信息
来源: 评论
Anti-ship Missile Trajectory Tracking Based on CS_UKF And interacting multiple models  33
Anti-ship Missile Trajectory Tracking Based on CS_UKF And In...
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33rd Chinese Control Conference (CCC)
作者: Xu Tian Ye Xu Xue Song East China Jiaotong Univ Elect Coll Nanchang 330013 Peoples R China
Anti-ship missile is a kind of typical high maneuvering target which has the characteristics of strong motor and multiple mobile. Especially its unique form of "snake maneuver" brought great difficulties to ... 详细信息
来源: 评论
An interacting Fuzzy-Fading-Memory-based Augmented Kalman Filtering method for maneuvering target tracking
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DIGITAL SIGNAL PROCESSING 2013年 第5期23卷 1678-1685页
作者: Amirzadeh, Ahmadreza Karimpour, Ali Ferdowsi Univ Mashhad Fac Engn Mashhad Iran
In this paper, the interaction and combination of Fuzzy Fading Memory (FFM) technique and Augmented Kalman Filtering (AUKF) method are presented for the state estimation of non-linear dynamic systems in presence of ma... 详细信息
来源: 评论
Adaptive Variable Structure multiple model algorithm base on High Maneuvering Target Tracking
Adaptive Variable Structure Multiple Model Algorithm base on...
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第23届过程控制会议
作者: Zeng Dong Huang Xiao-peng Peng Dong-liang Institution of Information and Control Key National Defense Laboratory of Fundamental Science for I Institution of Information and Control Key National Defense Laboratory of Fundamental Science for I
The traditional interacting multiple model (IMM) algorithm has a fixed structure, in the region of high maneuvering target tracking, needs plenty of models to describe the target maneuver, brings the contradiction of ... 详细信息
来源: 评论
PCRLB-based Optimal Sensor Selection for Maneuvering Target Tracking
PCRLB-based Optimal Sensor Selection for Maneuvering Target ...
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7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM)
作者: Liu, Zhigang Wang, Jinkuan Northeastern Univ Inst Engn Optimizat & Smart Antenna Qinhuangdao 066004 Peoples R China
To deal with the problem of tracking a maneuvering target in range-based sensor networks, we firstly derive the multiple model posterior Cramer-Rao lower bound(PCRLB), and on the basis of this bound, choose the sensor... 详细信息
来源: 评论
Cluster-based centralized data fusion for tracking maneuvering targets using interacting multiple model algorithm
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SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES 2004年 第2期29卷 205-216页
作者: Vaidehi, V Kalavidya, K Gandhi, SI Anna Univ Madras Inst Technol Dept Elect Engn Madras 600044 Tamil Nadu India
The interacting multiple model (IMM) algorithm has proved to be useful in tracking maneuvering targets. Tracking accuracy can be further improved using data fusion. Tracking of multiple targets using multiple sensors ... 详细信息
来源: 评论
IMM algorithm using intelligent input estimation for maneuvering target tracking
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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2005年 第5期E88A卷 1320-1327页
作者: Lee, BJ Park, JB Joo, YH ROK Navy Chinhae Kyungnam South Korea Naval Combat Syst Div Agcy Def Dev Chinhae Kyungnam South Korea Yonsei Univ Dept Elect & Elect Engn Seoul 120749 South Korea Kunsan Univ Sch Elect & Informat Engn Kunsan South Korea
A new interacting multiple model (IMM) algorithm using intelligent input estimation (IIE) is proposed for maneuvering target tracking. In the proposed method, the acceleration level for each sub-model is determined by... 详细信息
来源: 评论
A distributed multirate IMM algorithm for multiplatform tracking
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MATHEMATICAL AND COMPUTER modelLING 2000年 第10期32卷 1095-1116页
作者: Hong, L Ding, Z Wright State Univ Dept Elect Engn Dayton OH 45435 USA
A distributed multirate interacting multiple model (DMRIMM) algorithm for multi-platform tracking is proposed. Under the assumption that each model operates at an update rate proportional to the model's assumed dy... 详细信息
来源: 评论
An interacting multiple model algorithm with a switching Markov chain
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MATHEMATICAL AND COMPUTER modelLING 1997年 第1期25卷 1-9页
作者: Ding, Z Hong, L Department of Electrical Engineering Wright State University Dayton OH 45435 U.S.A.
A Markov chain plays an important role in an interacting multiple model (IMM) algorithm which has been shown to be effective for target tracking systems. Such systems are described by a mixing of continuous states and... 详细信息
来源: 评论