Aircraft target recognition using adaptive time-delay neural network

Aircraft target recognition using adaptive time-delay neural network

In this paper, an adaptive time-delay neural network (ATDNN) classifier based on high resolution radar down range profiles is proposed for use in aircraft target recognition, and a peak-based feature extraction technique for the range profiles is introduced. The results of experiments show that the...

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Bibliographische Detailangaben
Hauptverfasser: Xiao Huaitie, Zhuang Zhaowen, Chen Zhenpin, He Songhua, Guo Biao
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adaptive systems
Aircraft
Neural networks
Pattern recognition
Radar cross section
Radar measurements
Radar scattering
Signal processing
Signal resolution
Target recognition
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Beschreibung
Zusammenfassung:In this paper, an adaptive time-delay neural network (ATDNN) classifier based on high resolution radar down range profiles is proposed for use in aircraft target recognition, and a peak-based feature extraction technique for the range profiles is introduced. The results of experiments show that the average correct recognition rate of scale model aircrafts is 87.6% under the condition of three kinds of aircrafts.
DOI:10.1109/NAECON.1997.622726