@inproceedings{c0d69f20ab72413788287fc6d61b2351,
title = "HRRP feature extraction and recognition method of radar ground target using convolutional neural network",
abstract = "High resolution range profile(HRRP) is an important feature of radar target. It can be used to classify and recognize target. As for the attitude sensibility, the HRRP of target will change dramatically within a small angle. Since the convolutional neural network(CNN) is good tool to abstract the HRRP features from the original input data, and these features have good generalization ability to represent the target HRRP. Aiming at this issue, an approach is proposed to realize radar ground target HRRP features extraction and recognition based on convolutional neural network. The target scattering center features are reorganized into a 2-D feature map. Then a CNN is constructed to recognize the target based on the feature map of the target. The computation result based on MSTAR database shows the performance of the proposed approach.",
keywords = "CNN, Feature extraction, HRRP, MSTAR",
author = "Beicheng DIng and Penghui Chen",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019 ; Conference date: 09-09-2019 Through 13-09-2019",
year = "2019",
month = sep,
doi = "10.1109/ICEAA.2019.8879042",
language = "英语",
series = "Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "658--661",
booktitle = "Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019",
address = "美国",
}