Radar target recognition of maximum posterior probability based on time-series

Dequan Zhou; Guosui Liu; Guangming Sun; Yunhong Wang

Radar target recognition of maximum posterior probability based on time-series

Dequan Zhou^*
, Guosui Liu
, Guangming Sun
, Yunhong Wang

^*此作品的通讯作者

Nanjing University of Science and Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

The characteristics of high resolution radar (HRR) profiles were analyzed. An approach of obtaining stationary vectors was proposed. Partition algorithm presented by Vassilios Petridis, which was used to classify time-series, was modified to satisfy multidimensional time-series. Modified partition algorithm was applied to recognize HRR targets. Primary simulation results show that approaches discussed above have good prospects in the field of radar targets recognition.

源语言	英语
页（从-至）	369-374
页数	6
期刊	Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves
卷	16
期	5
出版状态	已出版 - 10月 1997
已对外发布	是

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title = "Radar target recognition of maximum posterior probability based on time-series",

abstract = "The characteristics of high resolution radar (HRR) profiles were analyzed. An approach of obtaining stationary vectors was proposed. Partition algorithm presented by Vassilios Petridis, which was used to classify time-series, was modified to satisfy multidimensional time-series. Modified partition algorithm was applied to recognize HRR targets. Primary simulation results show that approaches discussed above have good prospects in the field of radar targets recognition.",

author = "Dequan Zhou and Guosui Liu and Guangming Sun and Yunhong Wang",

year = "1997",

month = oct,

language = "英语",

volume = "16",

pages = "369--374",

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TY - JOUR

T1 - Radar target recognition of maximum posterior probability based on time-series

AU - Zhou, Dequan

AU - Liu, Guosui

AU - Sun, Guangming

AU - Wang, Yunhong

PY - 1997/10

Y1 - 1997/10

N2 - The characteristics of high resolution radar (HRR) profiles were analyzed. An approach of obtaining stationary vectors was proposed. Partition algorithm presented by Vassilios Petridis, which was used to classify time-series, was modified to satisfy multidimensional time-series. Modified partition algorithm was applied to recognize HRR targets. Primary simulation results show that approaches discussed above have good prospects in the field of radar targets recognition.

AB - The characteristics of high resolution radar (HRR) profiles were analyzed. An approach of obtaining stationary vectors was proposed. Partition algorithm presented by Vassilios Petridis, which was used to classify time-series, was modified to satisfy multidimensional time-series. Modified partition algorithm was applied to recognize HRR targets. Primary simulation results show that approaches discussed above have good prospects in the field of radar targets recognition.

UR - https://www.scopus.com/pages/publications/0031247614

M3 - 文章

AN - SCOPUS:0031247614

SN - 1001-9014

VL - 16

SP - 369

EP - 374

JO - Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves

JF - Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves

IS - 5

ER -

Radar target recognition of maximum posterior probability based on time-series

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