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西北工业大学 国内
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Joint target detection and tracking in multipath environment: A variational Bayesian approach
Hua Lan, Shuai Sun, Zengfu Wang,
Quan Pan
, Zhishan Zhang
自动化学院
Northwestern Polytechnical University Xian
Ministry of Education of the People's Republic of China
Xidian University
科研成果
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31
引用 (Scopus)
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探究 'Joint target detection and tracking in multipath environment: A variational Bayesian approach' 的科研主题。它们共同构成独一无二的指纹。
分类
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Engineering
Bayesian Approach
100%
Joints (Structural Components)
100%
Tracking (Position)
100%
Target Tracking
100%
Target State
66%
Propagation Path
66%
State Estimation
33%
Simulation Result
33%
Closed Form
33%
Performance Deterioration
33%
Estimation Error
33%
Bayesian Framework
33%
Signal-to-Noise Ratio
33%
Computational Cost
33%
Identification Error
33%
Over-the-Horizon Radar
33%
Belief Propagation
33%
Posterior Probability
33%
Tracking Algorithm
33%
Multi-target Detection
33%
Target Path
33%
Computer Science
Bayesian Approach
100%
Data Association
100%
Propagation Path
66%
And-States
33%
Estimation Error
33%
State Estimation
33%
Bayesian Framework
33%
Tracking Algorithm
33%
Computational Cost
33%
Noise-to-Signal Ratio
33%
Belief Propagation
33%
Posterior Probability
33%