Expert System Based on Hidden Markov Models for Recognition of Radar Targets

被引：0
|
作者：
Bujakovic, Dimitrije M. [1 ]
Durovic, Zeljko M. [2 ]
Andric, Milenko S. [1 ]
Bondzulic, Boban P. [1 ]
Simic, Slobodan M. [1 ]
机构：
[1] Univ Def Belgrade, Mil Acad, Gen Pavla Jurisica Sturma 33, Belgrade 11000, Serbia
[2] Univ Belgrade, Sch Elect Engn, Bul Kralja Aleksandra 73, Belgrade 11120, Serbia
来源：
2016 24TH TELECOMMUNICATIONS FORUM (TELFOR) | 2016年
关键词：
ground surveillance radar; autoregressive model parameters; expert system; Hidden Markov Model; DOPPLER CLASSIFICATION;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Design of an expert system based on Hidden Markov Models for recognition of radar targets in a zone of ground surveillance radar is presented in the paper. Parameters of the real radar echo signal represented in a form of autoregressive models are used as an input of the designed expert system. The real radar echoes have been collected for the purpose of this research. Obtained results show that designed system has some certain advantages, but there are also some limitations in recognition of the analyzed sequences.
引用
收藏
页码：451 / 458
页数：8
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