NDLI: Robust sequential high-resolution range profile recognition based on the infinite conditional restricted Boltzmann machine

Content Provider	IET Digital Library
Author	Gao, Xunzhang Peng, Xuan
Abstract	Feature extraction for radar high-resolution range profiles (HRRPs) is an essential procedure for robust target recognition based on radar HRRPs. It is almost always better to utilise multiple HRRPs from the target than a single HRRP. The commonly used recognition techniques are not robust enough to extract features from HRRP sequences, especially when there is not enough training data. In this study, the authors present a compact model named the infinite conditional restricted Boltzmann machine (iCRBM) for jointly feature learning and recognition of radar HRRPs. The model is developed from the conditional restricted Boltzmann machine, which is a powerful model for representing high-dimensional and multi-modal conditional distributions. Unlike ordinary RBMs, iCRBM can automatically select the model complexity according to the data, which especially suits for the case of large data dimensionality and small training dataset. A multi-scale structure is also proposed for learning multiple scales of temporal/spatial dependencies. Two types of radar HRRP recognition experiments were conducted to validate the efficiency and robustness of iCRBM: the multi-view HRRP recognition and the small aperture HRRP recognition. The results indicate that, the proposed model can be more adaptive at learning the feature of HRRPs than other common methods. The multi-scale structure is helpful for better recovering missing HRRP samples from non-consecutive sequences.
Starting Page	71
Ending Page	80
Page Count	10
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0012
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-09-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Aperture HRRP Recognition Boltzmann Machines Computer Vision And Image Processing Technique Data Dimensionality Electrical Engineering Computing Feature Extraction HRRP Sequence ICRBM Image Recognition Infinite Conditional Restricted Boltzmann Machine Jointly Feature Learning Knowledge Engineering Technique Learning in AI Model Complexity Multimodal Conditional Distribution Multiple HRRP Multiscale Structure Radar Computing Radar Equipment Radar High-resolution Range Profile Radar HRRP Radar HRRP Recognition Experiments Radar Resolution Radar Target Recognition Radar Theory Recovering Missing HRRP Sample Robust Sequential High-resolution Range Profile Recognition Robust Target Recognition Robustness Signal Processing And Detection Single HRRP System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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