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检索条件"主题词=Interacting Multiple Model algorithm"
21 条 记 录,以下是1-10 订阅
排序:
A Reduced-Complexity interacting multiple model algorithm for Location Tracking in Heterogeneous Observation
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JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE 2015年 第3期2卷 173-176页
作者: Fu, Xiaoyan Shang, Yuanyuan Capital Normal Univ Beijing Adv Innovat Ctr Imaging Technol Coll Informat Engn Beijing 100191 Peoples R China Capital Normal Univ Beijing Key Lab Elect Syst Reliabil Technol Beijing 100191 Peoples R China
This paper is devoted to the problem of state estimate of discrete-time stochastic systems. A low-complexity and high accuracy algorithm is presented to reduce the computational load of the traditional interacting mul... 详细信息
来源: 评论
Dynamic error spectrum for estimation performance evaluation: a case study on interacting multiple model algorithm
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IET SIGNAL PROCESSING 2014年 第2期8卷 202-210页
作者: Mao, Yanhui Han, Chongzhao Duan, Zhansheng Xi An Jiao Tong Univ Sch Elect & Informat Engn Key Lab Intelligent Networks & Network Secur MOE Minist EducInst Integrated Automat Xian 710049 Shaanxi Peoples R China Xi An Jiao Tong Univ CIESR Xian 710049 Shaanxi Peoples R China
The commonly used root-mean-square error for estimation performance evaluation is easily dominated by large error terms. So many new alternative absolute metrics have been provided in X. R. Li's work. However, eac... 详细信息
来源: 评论
Maneuvering target tracking based on a random motion model and integrated random interacting multiple model filtering
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AEROSPACE SCIENCE AND TECHNOLOGY 2025年 162卷
作者: Yang, Fengqi Zhong, Jinshan Luo, Yingting Zhang, Ying Shen, Xiaojing Zhu, Yunmin Sichuan Univ Coll Math Chengdu 610064 Sichuan Peoples R China
Traditional maneuvering target tracking algorithms assume that the target motion model is either fixed or limited in number. For high-speed and highly maneuvering targets, the tracker's performance degrades rapidl... 详细信息
来源: 评论
Adaptive Multi-model Fault Diagnosis of Dynamic Systems for Motion Tracking
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IEEE ACCESS 2024年 12卷 197540-197556页
作者: Daniels, Annalena Benciolini, Tommaso Wollherr, Dirk Leibold, Marion Tech Univ Munich Chair Automat Control Engn D-80333 Munich Germany
For most real-world systems, the exact description of possible faults is unknown, making these faults difficult to detect, and even more difficult to identify. The most promising way is to use multiple hypotheses for ... 详细信息
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A Fuzzy Adaptive Strong Tracking algorithm with Fading Factor  14
A Fuzzy Adaptive Strong Tracking Algorithm with Fading Facto...
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14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
作者: Fang, Shuai Zhao, Chuchu Sun, Jinping CETC Res Inst 3 Beijing Peoples R China Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China
The maximum acceleration parameter determines the effect of the current statistical (CS) model. Thus, when tracking weak maneuvering targets or targets whose actual acceleration exceeds the given value, the tracking p... 详细信息
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A Modified Tracking algorithm for NSHV Based on Aerodynamic model
A Modified Tracking Algorithm for NSHV Based on Aerodynamic ...
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2021 CIE International Conference on Radar, Radar 2021
作者: Zhang, Jiaqi Zheng, Jibin Sun, Dianxing Liu, Hongwei Xidian University National Laboratory of Rader Signal Processing Xian China China Electronic Technology Group Corporation Science and Technology on Electronic Test and Measurement Laboratory Qingdao China
In order to track the near space hypersonic vehicle (NSHV), we propose a tracking model containing aerodynamic and kinematic information using interacting multiple model (IMM) algorithm with accruate speed prior infor... 详细信息
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Channel tracking of uncoordinated access under uncertain evolution for massive connectivity with massive MIMO
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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2021年 141卷
作者: Soltanizadeh, Hediyeh Falahati, Abolfazl Iran Univ Sci & Technol IUST Dept Elect Engn Tehran Iran
Massive MIMO technologies are a major candidate to serve high-rate Internet of Things (IoT) with moving or motionless devices if all channels of devices are known to BS. In this paper, an unknown dynamical model for c... 详细信息
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Adaptive Tracking Method of Distorted Voltage Using IMM algorithm under Grid Frequency Fluctuation Conditions
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ENERGIES 2021年 第23期14卷 7944-7944页
作者: Nie, Haoyao Nie, Xiaohua Nanchang Univ Sch Econ & Management Nanchang 330031 Jiangxi Peoples R China Univ Manitoba IH Asper Sch Business Winnipeg MB R3T 5V4 Canada Nanchang Univ Dept Energy & Elect Engn Nanchang 330031 Jiangxi Peoples R China
This paper newly proposes an interactive multiple model (IMM) algorithm to adaptively track distorted AC voltage with the grid frequency fluctuation. The usual tracking methods are Kalman filter (KF) algorithm with a ... 详细信息
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Robust MT Tracking Based on M-Estimation and interacting multiple model algorithm
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2011年 第7期59卷 3398-3409页
作者: Hammes, Ulrich Zoubir, Abdelhak M. Tech Univ Darmstadt Inst Telecommun Signal Proc Grp D-64283 Darmstadt Germany
An algorithm for mobile terminal (MT) tracking based on time-of-arrival measurements in non-line-of-sight (NLOS) environments where NLOS measurements are modeled as positive outliers is proposed. Standard filters such... 详细信息
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IMM algorithm Based on H Filter for Maneuvering Target Tracking  36
IMM Algorithm Based on <i>H</i><sub>∞</sub> Filter for Mane...
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36th Chinese Control Conference (CCC)
作者: Liu, Meiqin Fan, Zhen Wang, Xie Zhang, Senlin Zhejiang Univ State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China
Correct knowledge of noise statistics is essential for an effective estimator in maneuvering target tracking. In practice, however, the noise statistics are usually unknown or not perfectly known. To deal with the est... 详细信息
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