Analysis of Radar Doppler Echoes from Various Ground Moving Targets | ||||
International Conference on Aerospace Sciences and Aviation Technology | ||||
Article 22, Volume 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, May 2011, Page 1-11 PDF (716.14 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/asat.2011.23243 | ||||
View on SCiNiTO | ||||
Authors | ||||
Milenko S. Andrić1; Boban P. Bondžulić2; Dimitrije М. Bujaković2; Srđan T. Mitrović3 | ||||
1Assistant professor, Military Academy, Department of military electrical engineering, Generala Pavla Jurisica Sturma 33, Belgrade, Serbia. | ||||
2Assistant, Military academy, Department of telecommunications and informatics, Generala Pavla Jurisica Sturma 33, Belgrade, Serbia. | ||||
3Assistant professor, Military academy, Department of military electrical engineering, Generala Pavla Jurisica Sturma 33, Belgrade, Serbia. | ||||
Abstract | ||||
The main tasks of ground surveillance radars for security and perimeter protection are detection and classification of moving ground targets. In typical radar systems, target detection is fully automated, but the target classification requires human involvement. In this paper, we consider received radar echoes data of ground moving targets, and corresponding signals in time – frequency domain using spectrograms and cepstrum. The objective of the paper is to identify and validate the intrinsic features characterizing the different classes of targets, and subsequently extract salient features for classification. We will show examples on Radar Echoes Database. This database, named RadEch Database, cointaines radar echoes that are collected in controlled test enviroments at the premises of Military Academy – Republic of Serbia. Database purpose is to enable reproducible research results in the field of classification of ground moving targets (pattern recognition). | ||||
Keywords | ||||
Cepstrum; classification; Doppler signature; Feature Extraction; radar echoes database; spectrogram | ||||
Statistics Article View: 252 PDF Download: 283 |
||||