1 |
DU L , WANG P H , LIU H W , et al. Bayesian spatiotemporal multitask learning for radar HRRP target recognition[J]. IEEE Trans.on Signal Processing, 2011, 59 (7): 3182- 3196.
doi: 10.1109/TSP.2011.2141664
|
2 |
刘天坤, 熊新平, 赵育善. 网络化防空导弹体系生存能力的评估与权衡[J]. 系统工程与电技术, 2007, 29 (2): 226- 229.
|
|
LIU T K , XIONG X P , ZHAO Y S . Research on survivability evaluation and tradeoff of networking air defense missile systems[J]. Systems Engineering and Electronics, 2007, 29 (2): 226- 229.
|
3 |
CAPLAN P , SHIMIZU H , KOBAYSHI S , et al. Cataloging internet resources[J]. The Public Access Computer Systems Review, 1993, 4 (2): 61- 66.
|
4 |
张怡霄, 郭文普, 康凯, 等. 基于聚类和时序相关的重点雷达信号快速识别[J]. 系统工程与电子技术, 2020, 42 (3): 597- 602.
|
|
ZHANG Y X , GUO W P , KANG K , et al. Key radar signal fast recognition method based on clustering and time-series correlation[J]. Systems Engineering and Electronics, 2020, 42 (3): 577- 602.
|
5 |
徐彬, 陈渤, 刘家麒, 等. 采用双向LSTM模型的雷达HRRP目标识别[J]. 西安电子科技大学学报, 2019, 46 (4): 29- 34.
|
|
XU B , CHEN B , LIU J Q , et al. Radar HRRP target recognition using bidirectional LSTM model[J]. Journal of Xidian University, 2019, 46 (4): 29- 34.
|
6 |
DU L , LIU H W , WANG P H , et al. Radar HRRP target recognition by the bidirectional LSTM model[J]. IEEE Trans.on Signal Processing, 2012, 60 (7): 3546- 3559.
doi: 10.1109/TSP.2012.2191965
|
7 |
WANG C Y , HUANG P P , LI X F , et al. Radar HRRP target recognition based on AEPSO-SVM algorithm[J]. Systems Engineering and Electronics, 2019, 41 (9): 1984- 1989.
|
8 |
LAN D, WANG P H, LIU H W, et al. Radar HRRP target recognition based on dynamic multi-task hidden Markov model[C]// Proc. of the IEEE International Conference on National Radar, 2011: 253-255.
|
9 |
王彩云, 黄盼盼, 李晓飞, 等. 基于AEPSO-SVM算法的雷达HRRP目标识别[J]. 系统工程与电子技术, 2019, 41 (9): 1984- 1989.
|
|
WANG C Y , HUANG P P , LI X F , et al. Radar HRRP target recognition based on AEPSO-SVM algorithm[J]. Systems Engineering and Electronics, 2019, 41 (9): 1984- 1989.
|
10 |
DEWI C , CHEN R C , HENDRY H , et al. Experiment improvement of restricted Boltzmann machine methods for image classification[J]. Vietnam Journal of Computer Science, 2021, 8 (2): 134- 141.
|
11 |
HSU K C , LI S T . Clustering spatial-temporal precipitation data using wavelet transform and self-organizing map neural network[J]. Advances in Water Resources, 2010, 33 (2): 190- 200.
doi: 10.1016/j.advwatres.2009.11.005
|
12 |
GUO Y, WANG S, GAO C, et al. Wishart RBM based DBN for polarimetric synthetic radar data classification[C]//Proc. of the IEEE International Geoscience and Remote Sensing Symposium, 2015.
|
13 |
刘凯, 张斌, 黄青华. 基于TCNN-BiLSTM网络的调制识别算法[J]. 系统工程与电子技术, 2020, 42 (8): 1841- 1849.
|
|
LIU K , ZHANG B , HUANG Q H . Modulation recognition algorithm based on TCNN-BiLSTM[J]. Systems Engineering and Electronics, 2020, 42 (8): 1841- 1849.
|
14 |
GUO C , WANG H , JIANT T , et al. Radar target recognition based on feature pyramid fusion lightweight CNN[J]. IEEE Access, 2019, 7, 51140- 51149.
doi: 10.1109/ACCESS.2019.2909348
|
15 |
ZHANG Y F , XIAO F , QIAN F C , et al. VGM-RNN: HRRP sequence extrapolation and recognition based on a novel optimized RNN[J]. IEEE Access, 2020, 8, 70071- 70081.
doi: 10.1109/ACCESS.2020.2986027
|
16 |
LIU J, CHEN B, CHEN W, et al. Radar HRRP target recognition with target aware two-dimensional recurrent neural net work[C]//Proc. of the IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2020.
|
17 |
LI X, HE Y, YANG Y, et al. LSTM based human activity classification on radar range Profile[C]//Proc. of the IEEE International Conference on Computational Electromagnetics, 2019.
|
18 |
WAN J W , CHEN B , LIU Y Q , et al. Recognizing the HRRP by combining CNN and BiRNN with attention mechanism[J]. IEEE Access, 2020, 8, 20828- 20837.
doi: 10.1109/ACCESS.2020.2969450
|
19 |
WANG Y, HUANG M, ZHU X, et al. Attention-based LSTM for aspect-level sentiment classification[C]//Proc. of the Conference on Empirical Methods in Natural Language Processing, 2016.
|
20 |
YAN S, SMITH J S, LU W, et al. CHAM: action recognition using convolutional hierarchical attention model[C]//Proc. of the IEEE International Conference on Image Processing (ICIP), 2017.
|
21 |
WANG A H , CHEN J P , ZHANG Y Z , et al. Comparison of three widely used multi-GNSS real-time single-frequency precise point positioning models using the international GNSS service real-time service[J]. IET Radar Sonar Navigation, 2020, 14 (1): 1- 14.
doi: 10.1049/iet-rsn.2020.0009
|
22 |
DU C , ZHANG L , SUN X P , et al. Enhanced multi-channel feature synthesis for hand gesture recognition based on CNN with a channel and spatial attention mechanism[J]. IEEE Access, 2020, 8, 14610- 14620.
|
23 |
CUI Z Y , WANG X Y , LIU N Y , et al. Ship detection in large-scale SAR images via spatial shuffle-group enhance attention[J]. IEEE Trans.on Geoscience and Remote Sensing, 2020, 59 (1): 379- 391.
|
24 |
ALBRECHT T W, GUSTAFSON S C. Hidden Markov models for classifying SAR target images[C]//Proc. of the Algorithms for Synthetic Aperture Radar Imagery XI. International Society for Optics and Photonics, 2004.
|
25 |
LIANG Z, HUANG J, LIU J P, et al. Enterprise master patient index entity recognition by long short-term memory network in electronic health systems[C]//Proc. of the British HCI 2018, 2018.
|
26 |
SHRESTHA A , LI H , KERNEC J L , et al. Continuous human activity classification from FMCW radar with Bi-LSTM networks[J]. IEEE Sensors Journal, 2020, 22 (20): 13607- 13619.
|
27 |
L I X, HE Y, YANG Y M, et al. LSTM based human activity classification on radar range profile[C]//Proc. of the IEEE Internation al Conference on Computational Electromagnetics, 2019.
|
28 |
TIAN B , WANG G , XU Z , et al. Communication delay compensation for string stability of CACC system using LSTM prediction[J]. Vehicular Communications, 2021, 100333.
|
29 |
LI X , LIU Z , HUANG Z . Attention-based radar PRI modulation recognition with recurrent neural networks[J]. IEEE Access, 2020, 8, 57426- 57436.
doi: 10.1109/ACCESS.2020.2982654
|
30 |
REN H , YU X , ZOU L , et al. Extended convolutional capsule network with application on SAR automatic target recognition[J]. Signal Processing, 2021, 183 (1): 108021.
|
31 |
SUN Z , LIU M , LIU P , et al. SAR Image classification using fully connected conditional random fields combined with deep learning and superpixel boundary constraint[J]. Remote Sensing, 2021,
doi: 10.3390/rs13020271
|