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西北工业大学 国内
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An Improved Kalman Filter Based on Long Short-Memory Recurrent Neural Network for Nonlinear Radar Target Tracking
Fei Song,
Yong Li
,
Wei Cheng
,
Limeng Dong
, Minqi Li, Junfang Li
电子信息学院
Northwestern Polytechnical University Xian
Xi'an Aeronautical Institute
Xi'an Polytechnic University
科研成果
:
期刊稿件
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文章
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同行评审
10
引用 （Scopus）
综述
指纹
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探究 'An Improved Kalman Filter Based on Long Short-Memory Recurrent Neural Network for Nonlinear Radar Target Tracking' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Engineering
Tracking (Position)
100%
Target Tracking
100%
Kalman Filter
100%
Based Kalman Filter
100%
Radar Target
100%
Motion Model
100%
Recurrent Neural Network
100%
Measurement Noise
50%
Experimental Result
50%
Target State
50%
Recursive
50%
Nonlinear Model
50%
Computer Science
Tracking (Position)
100%
Kalman Filter
100%
Recurrent Neural Network
100%
Long Short-Term Memory Network
50%
Motion Model
50%
Experimental Result
25%
Traditional Method
25%
Measurement Noise
25%
Training Data
25%
Nonlinear Model
25%
Recursive Neural Network
25%
Chemical Engineering
Recurrent Neural Network
100%
Neural Network
50%