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A HYBRID NEURAL NETWORK FRAMEWORK AND APPLICATION TO RADAR AUTOMATIC TARGET RECOGNITION

Abstract: 

Deep neural networks (DNNs) have found applications in diverse signal processing (SP) problems. Most efforts either directly adopt the DNN as a black-box approach to perform certain SP tasks without taking into account of any known properties of the signal models, or insert a pre-defined SP operator into a DNN as an add-on data processing stage. This paper presents a novel hybrid-NN framework in which one or more SP layers are inserted into the DNN architecture in a coherent manner to enhance the network capability and efficiency in feature extraction. These SP layers are properly designed to make good use of the available models and properties of the data. The network training algorithm of hybrid-NN is designed to actively involve the SP layers in the learning goal, by simultaneously optimizing both the weights of the DNN and the unknown tuning parameters of the SP operators. The proposed hybrid-NN is tested on a radar automatic target recognition (ATR) problem. It achieves high validation accuracy of 96\% with 5,000 training images in radar ATR. Compared with ordinary DNN, hybrid-NN can markedly reduce the required amount of training data and improve the learning performance.

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Paper Details

Authors:
Zhe Zhang, Xiang Chen, Zhi Tian
Submitted On:
26 November 2018 - 3:14pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Zhi Tian
Paper Code:
GS-P.4.3
Document Year:
2018
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Document Files

Hybrid_NN_Poster_Zhe_new_2.pdf

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[1] Zhe Zhang, Xiang Chen, Zhi Tian, "A HYBRID NEURAL NETWORK FRAMEWORK AND APPLICATION TO RADAR AUTOMATIC TARGET RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3783. Accessed: Jul. 21, 2019.
@article{3783-18,
url = {http://sigport.org/3783},
author = {Zhe Zhang; Xiang Chen; Zhi Tian },
publisher = {IEEE SigPort},
title = {A HYBRID NEURAL NETWORK FRAMEWORK AND APPLICATION TO RADAR AUTOMATIC TARGET RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - A HYBRID NEURAL NETWORK FRAMEWORK AND APPLICATION TO RADAR AUTOMATIC TARGET RECOGNITION
AU - Zhe Zhang; Xiang Chen; Zhi Tian
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3783
ER -
Zhe Zhang, Xiang Chen, Zhi Tian. (2018). A HYBRID NEURAL NETWORK FRAMEWORK AND APPLICATION TO RADAR AUTOMATIC TARGET RECOGNITION. IEEE SigPort. http://sigport.org/3783
Zhe Zhang, Xiang Chen, Zhi Tian, 2018. A HYBRID NEURAL NETWORK FRAMEWORK AND APPLICATION TO RADAR AUTOMATIC TARGET RECOGNITION. Available at: http://sigport.org/3783.
Zhe Zhang, Xiang Chen, Zhi Tian. (2018). "A HYBRID NEURAL NETWORK FRAMEWORK AND APPLICATION TO RADAR AUTOMATIC TARGET RECOGNITION." Web.
1. Zhe Zhang, Xiang Chen, Zhi Tian. A HYBRID NEURAL NETWORK FRAMEWORK AND APPLICATION TO RADAR AUTOMATIC TARGET RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3783