Discrete Wavelet Design for Target Classification in Pulse-Doppler Surveillance Radar

被引：0
|
作者：
Mesarcik, Michael [1 ]
Lewis, Simon [1 ]
Mishra, Amit [1 ]
Pidanic, Jan [2 ]
Juryca, Karel [2 ]
机构：
[1] Univ Cape Town, RRSG, Cape Town, South Africa
[2] Univ Pardubice, Fac Elect Engn & Informat, Dept Elect Engn, Pardubice, Czech Republic
来源：
2019 29TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA) | 2019年
关键词：
Discrete Wavelets; radar classification; pulse Doppler radar;
D O I：
10.1109/radioelek.2019.8733551
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Wavelets are powerful signal classification tools that show promise for classification in Pulse-Doppler radar applications. A wavelet decomposition of match filtered radar data is performed for a surveillance radar in the Czech Republic. A custom discrete wavelet is designed based on the range profiles of the dataset with and without targets and clutter present. The entropy and energy for different levels of the DWT decomposition are used to determine the presence of various targets. Targets are differentiated from static clutter by thresholding the DWT decomposition levels.
引用
收藏
页码：282 / 287
页数：6
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