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Technology of Network & Communication
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872-875

High resolution range profile recognition based on deep belief network

Wang Honglin1a
Li Wei1b
Xu Qiang1a
Xu Jianye1a
Zhang Jun2
1. a. College of Graduate, b. College of Information & Navigation, Air Force Engineering University, Xi'an 710077, China
2. College of Electronic Science & Engineering, National University of Defense Technology, Changsha 410073, China

Abstract

In order to improve the accuracy of radar target recognition, this paper proposed a high resolution range profile(HRRP) recognition method based on deep belief network(DBN). Firstly, the method used a restricted Boltzmann machine(RBM) to perform layer-by-layer unsupervised training on HRRP data. It updated the network parameters according to the contrast divergence(CD) algorithm, and designed the DBN depth by the reconstruction error method. Then, it fine-tuned the DBN model parameters with supervision through a back propagation(BP) mechanism. Finally, based on the model, it realized the classification and recognition of HRRP. The experimental results show that compared with the traditional neural network, the recognition accuracy and noise robustness of the proposed method are significantly improved, and the recognition accuracy can be improved by 8.5%.

Foundation Support

国家自然科学基金资助项目
航天科技创新基金资助项目
航空科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.09.0647
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Technology of Network & Communication
Pages: 872-875
Serial Number: 1001-3695(2020)03-051-0872-04

Publish History

[2020-03-05] Printed Article

Cite This Article

王泓霖, 李伟, 许强, 等. 基于深度置信网络的高分辨率雷达距离像识别 [J]. 计算机应用研究, 2020, 37 (3): 872-875. (Wang Honglin, Li Wei, Xu Qiang, et al. High resolution range profile recognition based on deep belief network [J]. Application Research of Computers, 2020, 37 (3): 872-875. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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