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兰州理工大学 [7]
西安交通大学 [4]
大连理工大学 [3]
北京航空航天大学 [1]
山东大学 [1]
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期刊论文 [15]
会议论文 [1]
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Iterated particle filter for bearing only target tracking
期刊论文
Advances in Intelligent Systems and Computing, 2018, 卷号: 842, 页码: 840-848
作者:
Wang, F.
;
Li, X.
;
Lin, B.
;
Zhang, J.
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/02
Clutter (information theory)
Iterative methods
Kalman filters
Monte Carlo methods, Bearing only target
Bearing only tracking
Degeneracy problems
Estimation problem
Iterated Kalman filter
Particle filter
Particle Filtering
Proposal distribution, Target tracking
Considering environmental implications of distribution channel choices: A comparative study based on game theory
期刊论文
JOURNAL OF CLEANER PRODUCTION, 2017, 卷号: 167, 页码: 1155-1164
作者:
Zhao, Qiuhong
;
Jin, Jie
;
Deng, Xiuquan
;
Wang, Donghai
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Channel selection
Environment costs
Game theory
Customer distribution range
Policy proposal
Particle filter algorithm with correlative noises
期刊论文
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2016, 卷号: 45, 期号: 3, 页码: 436-441
作者:
Li, Wei
;
Cao, Jie
;
Li, Jun
;
Wang, Jin-Hua
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/11/14
Distribution functions
Monte Carlo methods
Nonlinear systems
Probability density function
Analysis and simulation
Characteristic of noise
Joint probability density function
Noise correlation
Nonlinear system modeling
Particle filter
Particle filter algorithms
Proposal distribution
Tracking objects in video-based education using an enhanced particle filter
期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 卷号: 31, 页码: 2573-2581
作者:
Wang, Fasheng
;
Xiao, Zhibo
;
Chen, Wei
;
Li, Xucheng
;
Lu, Mingyu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/09
Video based learning
visual tracking
particle filter
proposal distribution
Novel particle filter algorithm based on invasive weed optimization
期刊论文
Journal of Information and Computational Science, 2015, 卷号: 12, 期号: 12, 页码: 4781-4790
作者:
Cao, Jie
;
Wu, Mingming
;
Wang, Jinhua
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/11/14
Computer applications
Jitter
Monte Carlo methods
Optimization
Target tracking
Degree of degradation
Importance re samplings
Invasive weed
Invasive weed optimization
Optimization algorithms
Particle filter
Particle filter algorithms
Proposal distribution
Target robust tracking in clutter environment with non-Gaussian related noise
期刊论文
Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2014, 卷号: 25, 期号: 12, 页码: 2393-2399
作者:
Sun, Tao
;
Cao, Jie
;
Li, Wei
;
Li, Jun
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/11/14
Clutter (information theory)
Distribution functions
Functions
Gaussian distribution
Monte Carlo methods
Target tracking
Tracking (position)
Vehicles
Cauchy-Gaussian mixtures
Correlative noise
Mathematical expressions
Multiple features fusions
Nonlinear system modeling
Object Tracking
Particle filter
Proposal distribution
Speaker tracking method research with correlative noises
期刊论文
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2014, 卷号: 26, 期号: 12, 页码: 2251-2257
作者:
Li, Jun
;
Cao, Jie
;
Li, Wei
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2020/11/14
Distribution functions
Monte Carlo methods
Anti-interference
Correlative noise
Microphone arrays
Minimum variance
Observation information
Particle filter
Proposal distribution
Speaker tracking
Improved UPF algorithm based on Gaussian Sigma points selection
期刊论文
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2014, 卷号: 44, 期号: 5, 页码: 1435-1440
作者:
Cao, Jie
;
Dai, Bin
;
Li, Xiao-Xu
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/11/14
Approximation algorithms
Computer applications
Distribution functions
Gaussian distribution
Monte Carlo methods
Metropolis Hastings
Particle filter
Particle filter algorithms
Posterior probability
Proposal distribution
Sigma point
Unscented Kalman Filter
Unscented particle filters
An improved particle filter with applications in ballistic target tracking
期刊论文
Sensors and Transducers, 2014, 卷号: 172, 期号: [db:dc_citation_issue], 页码: 196-201
作者:
Wu, Chun-Ling
;
Ju, Yong-Feng
;
Ju, Yong-Feng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Ballistic target tracking
Importance density function
Improved particle filter
Nonlinear filtering algorithm
Particle filter
Proposal distribution
Quadrature Kalman filters
Statistical linear regressions
Adaptive unscented particle filter algorithm under unknown noise
期刊论文
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2013, 卷号: 43, 期号: 4, 页码: 1139-1145
作者:
Li, Yu-Chen
;
Li, Zhan-Ming
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2020/11/14
Adaptive filters
Clutter (information theory)
Data processing
Distribution functions
Information filtering
Kalman filters
Monte Carlo methods
Target tracking
Anti-noise ability
Estimation errors
Particle filter
Proposal distribution
Statistic characteristics
Unknown noise
Unscented Kalman Filter
Unscented particle filters
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