Data fusion and tracking in clutter wit naval ship's surveillance system

Yan Zhang; Wen Chun Gao; Teng Long; Pei Kun He

Data fusion and tracking in clutter wit naval ship's surveillance system

Yan Zhang^*, Wen Chun Gao, Teng Long, Pei Kun He

^*此作品的通讯作者

信息与电子学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

A new method to fuse searching radar and infrared sensor and to implement track maintenance in clutter was developed. Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter. Simulation results of tracking antiship missle in clutter were presented and analyzed to show the performance of the new method. The new method has the advantage of flexibility, accuracy and efficiency.

源语言	英语
页（从-至）	475-479
页数	5
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	20
期	4
出版状态	已出版 - 2000

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引用此

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title = "Data fusion and tracking in clutter wit naval ship's surveillance system",

abstract = "A new method to fuse searching radar and infrared sensor and to implement track maintenance in clutter was developed. Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter. Simulation results of tracking antiship missle in clutter were presented and analyzed to show the performance of the new method. The new method has the advantage of flexibility, accuracy and efficiency.",

keywords = "Adaptive Kalman filter, Data fusion, Defense, Maneuvering targert tracking",

author = "Yan Zhang and Gao, {Wen Chun} and Teng Long and He, {Pei Kun}",

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AU - Zhang, Yan

AU - Gao, Wen Chun

AU - Long, Teng

AU - He, Pei Kun

PY - 2000

Y1 - 2000

N2 - A new method to fuse searching radar and infrared sensor and to implement track maintenance in clutter was developed. Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter. Simulation results of tracking antiship missle in clutter were presented and analyzed to show the performance of the new method. The new method has the advantage of flexibility, accuracy and efficiency.

AB - A new method to fuse searching radar and infrared sensor and to implement track maintenance in clutter was developed. Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter. Simulation results of tracking antiship missle in clutter were presented and analyzed to show the performance of the new method. The new method has the advantage of flexibility, accuracy and efficiency.

KW - Adaptive Kalman filter

KW - Data fusion

KW - Defense

KW - Maneuvering targert tracking

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JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

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Data fusion and tracking in clutter wit naval ship's surveillance system

摘要

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