Target-attentional CNN for Radar Automatic Target Recognition with HRRP
Authors:
- Jian ChenJCJian Chen
- Lan DuLDLan Du
- Guanbo GuoGGGuanbo Guo
- Linwei YinLYLinwei Yin
- Di WeiDWDi Wei
- 9 February 2022
- journal article
- research article
- Published by Elsevier in Signal Processing
- Vol. 196
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (U21B2039)
- Fundamental Research Funds for the Central Universities (XJS210219)
- Higher Education Discipline Innovation Project
This publication has 21 references indexed in Scilit:
- Parameter estimation of micro‐motion targets for high‐range‐resolution radar using high‐order difference sequenceIET Signal Processing, 2018
- Radar HRRP Target Recognition Based on t-SNE Segmentation and Discriminant Deep Belief NetworkIEEE Geoscience and Remote Sensing Letters, 2017
- On Model, Algorithms, and Experiment for Micro-Doppler-Based Recognition of Ballistic TargetsIEEE Transactions on Aerospace and Electronic Systems, 2017
- Radar HRRP target recognition with deep networksPattern Recognition, 2017
- Infinite max-margin factor analysis via data augmentationPattern Recognition, 2016
- Robust statistical recognition and reconstruction scheme based on hierarchical Bayesian learning of HRR radar target signalExpert Systems with Applications, 2015
- Three-dimensional precession feature extraction of space targetsIEEE Transactions on Aerospace and Electronic Systems, 2014
- Radar automatic target recognition using complex high-resolution range profilesIET Radar, Sonar & Navigation, 2007
- Efficient radar target recognition using the MUSIC algorithm and invariant featuresIEEE Transactions on Antennas and Propagation, 2002
- A new feature vector using selected bispectra for signal classification with application in radar target recognitionIEEE Transactions on Signal Processing, 2001