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检索条件"主题词=IMM algorithm"
21 条 记 录,以下是11-20 订阅
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Multiple model tracking of manoeuvring targets accounting for standoff jamming information
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IET RADAR SONAR AND NAVIGATION 2013年 第4期7卷 342-350页
作者: Hou, Jing Li, X. Rong Jing, Zhanrong Northwestern Polytech Univ Dept Elect & Informat Xian 710072 Peoples R China Univ New Orleans Dept Elect Engn New Orleans LA 70148 USA
An Interacting Multiple Model (imm) algorithm for manoeuvring target tracking in the presence of standoff jammer is proposed. In the imm, the conventional Gaussian likelihood is replaced with a Gaussian sum (GS) likel... 详细信息
来源: 评论
PCRLB-based sensor selection for maneuvering target tracking in range-based sensor networks
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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2013年 第7期29卷 1751-1757页
作者: Liu, Zhigang Wang, Jinkuan Xue, Yanbo Northeastern Univ Inst Engn Optimizat & Smart Antenna Qinhuangdao 066004 Peoples R China McMaster Univ Cognit Syst Lab Hamilton ON L8S 4K1 Canada
Recent years have witnessed the shift of wireless sensor networks (WSNs) from theoretical research to practical applications. Due to their simplicity, range-based sensor networks have been widely used. To track a mane... 详细信息
来源: 评论
Ground Target Tracking of Vehicles in a Wireless Ground Sensor Network
Ground Target Tracking of Vehicles in a Wireless Ground Sens...
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International Conference on Information Fusion
作者: Mats Ekman Henrik P?lsson Security and Defense Solutions Saab AB J?rf?lla SE-175 88 Sweden
In this paper data from a wireless unattended ground sensor network is used for tracking vehicles travelling in a road network. A multiple model particle filter algorithm, taking into account the road information, is ... 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
A multiple model approach to doubly-selective channel estimation using exponential basis models
A multiple model approach to doubly-selective channel estima...
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33rd IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Song, Liying Tugnait, Jitendra K. Auburn Univ Dept Elect & Comp Engn Auburn AL 36849 USA
An adaptive channel estimation scheme, exploiting the over-sampled complex exponential basis expansion model (CEBEM), is presented for doubly-selective channels where we track the BEM coefficients via a multiple model... 详细信息
来源: 评论
A non-linear filtering and predication (NFP) method for maneuvering target tracking
A non-linear filtering and predication (NFP) method for mane...
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Conference on Signal Processing, Sensor Fusion, and Target Recognition XV
作者: Chen, H. Chang, K. C. George Mason Univ Dept SEOR 4400 Univ Dr Fairfax VA 22030 USA
A new non-linear filtering and predication (NFP) algorithm with input estimation is proposed for maneuvering target tracking. In the proposed method, the acceleration level is determined by a decision process, where a... 详细信息
来源: 评论
Networked sensor management and data rate control for tracking maneuvering targets
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2005年 第6期53卷 1979-1991页
作者: Evans, R Krishnamurthy, V Nair, G Sciacca, L Univ Melbourne Natl ICT Australia Victoria Res Lab Melbourne Vic 3010 Australia Univ Melbourne Dept Elect & Elect Engn Parkville Vic 3010 Australia Univ British Columbia Dept Elect & Comp Engn Vancouver BC V6T 1Z4 Canada Def Sci & Technol Org Syst Sci Lab Elect Warfare & Radar Div Canberra ACT 5111 Australia
This paper presents sensor and data rate control algorithms for tracking maneuvering targets. The manuevering target is modeled as a jump Markov linear system. We present novel extensions of the Interacting Multiple M... 详细信息
来源: 评论
Model-set adaptation using a fuzzy Kalman filter
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MATHEMATICAL AND COMPUTER MODELLING 2001年 第7-8期34卷 799-812页
作者: Ding, Z Leung, H Chan, K Zhu, ZW Raytheon Syst Canada Ltd Adv Syst Dev Waterloo ON N2J 4K6 Canada Univ Calgary Dept Elect & Comp Engn Calgary AB T2N 1N4 Canada Hong Kong Polytech Univ Dept Comp Kowloon Hong Kong Peoples R China Nortel Networks Toronto Multimedia Applicat Ctr Toronto ON M5G 1W7 Canada
In this paper, a fuzzy Kalman filter (KF) is proposed to combat the model-set adaptation problem of multiple model estimation. The fuzzy KF is found to be able to more exactly extract dynamic information of target man... 详细信息
来源: 评论
Multisensor, multisite integration for composite tracking of maneuvering targets
Multisensor, multisite integration for composite tracking of...
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Conference on Signal and Data Processing of Small Targets
作者: Watson, GA Anthony, KS Rice, TR USN Ctr Surface Warfare Dahlgren Div Syst Res & Technol DeptDigital Syst Branch Dahlgren VA 22448 USA
The integration of multiple sensors for target tracking has been intensely investigated in recent years. The techniques for integrating multiple sensors are complex but have the potential to provide very accurate stat... 详细信息
来源: 评论
Comparison of various schema of filter adaptivity for the tracking of maneuvering targets
Comparison of various schema of filter adaptivity for the tr...
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Conference on Signal and Data Processing of Small Targets
作者: Jouan, A Bosse, E Simard, MA Shahbazian, E Lockheed Martin Canada R&D Dept Montreal PQ Canada
Tracking maneuvering targets is a complex problem which has generated a great deal of effort over the past several years. It has now been well established that in terms of tracking accuracy, the Interacting Multiple M... 详细信息
来源: 评论