|
|
|
| A Review on Intelligent Radar Target Recognition Methods |
| XU Qiang1， MA Yuehua2，3， XU Ke1， PAN Jun2，3 |
| 1. School of Computer Science， Shanghai Jiao Tong University， Shanghai 200240， China； 2. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China； 3. National Key Laboratory of
Automatic Target Recognition （ATR）， Shanghai 201109， China |
|
|
|
|
Abstract Intelligent radar target recognition is a key technology in modern military informatization and civilian high-end equipment. The false target interference and upgraded camouflage techniques in complex electromagnetic environments cause the performance degradation of traditional recognition algorithms, thus prompting the successive proposal of a series of advanced algorithms. Based on expounding the typical characteristics of intelligent radar target recognition, this paper systematically analyzed the constituent elements of recognition frameworks using traditional feature engineering, machine learning, and deep learning. Then, by comparing the characteristics of different methods in feature extraction and performance evaluation, the development trends and challenges of intelligent recognition technology were examined from the perspectives of practical application, large model empowerment, and other dimensions.
|
|
Received: 13 June 2025
Published: 31 October 2025
|
|
|
|
|
|
| [1] |
YANG Zhuang, LI Zhaofei, WANG Jihua, WEI Xudong, ZHANG Yijie. Named Entity Identification of Chinese Poetry and Wine Culture Based on ALBERT[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(5): 1065-1072. |
| [2] |
JIANG Wenbo, ZHENG Hangbin, BAO Jinsong. Novel Multi-Step Deep Learning Approach for Detection of Complex Defects in Solar Cells[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(5): 1050-1064. |
| [3] |
MA Changxi, HUANG Xiaoting, MENG Wei. Predicting Parking Spaces Using CEEMDAN and GRU[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(5): 962-975. |
| [4] |
XIA Yilin, LIU Gang, YAN Congqiang, CAI Yunze. Research on Deep Learning-Based Rotation Detection Algorithms for Ship Wakes in SAR Images[J]. Air & Space Defense, 2025, 8(5): 64-74. |
| [5] |
LIANG Yuwan, XIAO Zhaoyun, LI Mingguang, MENG Jiangshan, ZHOU Jianfeng, HUANG Shanjing, ZHU Haojie. Ground Settlement Prediction by Vacuum Preloading Based on LSTM[J]. Journal of Shanghai Jiao Tong University, 2025, 59(4): 525-532. |
| [6] |
ZHAO Ziyu, WANG Xuquan, MA Jie, XING Yujie, DUN Xiong, WANG Zhanshan, CHENG Xinbin. Edge Chip Deployment Methods for Lightweight Infrared Computational Imaging Reconstruction Algorithms[J]. Air & Space Defense, 2025, 8(4): 85-93. |
| [7] |
Nie Wei, Liang Xinwu. Efficient Fully Convolutional Network and Optimization Approach for Robotic Grasping Detection Based on RGB-D Images[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(2): 399-416. |
| [8] |
Wang Gang, Guan Yaonan, Li Dewei. Two-Stream Auto-Encoder Network for Unsupervised Skeleton-Based Action Recognition[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(2): 330-336. |
| [9] |
ZHAN Zehui, ZHONG Ming’en, YUAN Bingan, TAN Jiawei, FAN Kang. Detection of Roadside Vehicle Parking Violations Under Random Horizontal Camera Condition[J]. Journal of Shanghai Jiao Tong University, 2025, 59(10): 1568-1580. |
| [10] |
YAN Mingxuan1 (颜铭萱), MIAO Yutong2，3 (苗雨桐), SHENG Shuqian1 (盛淑茜), GAN Xiaoying1 (甘小莺),
HE Ben2 (何 奔), SHEN Lan2，3* (沈 兰). Ensemble Learning-Based Mortality Prediction After Acute
Myocardial Infarction[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(1): 153-165. |
| [11] |
A. Sahaya Anselin Nisha1* , NARMADHA R.1 , AMIRTHALAKSHMI T. M.2,BALAMURUGAN V.1, VEDANARAYANAN V.1. LOBO Optimization-Tuned Deep-Convolutional Neural Network for Brain Tumor Classification Approach[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(1): 107-114. |
| [12] |
XU Wangwang1，2 (徐旺旺), XU Liangfeng1，2 (许良凤), LIU Ninghui3(刘宁徽), LU Na3(律娜). Histological Image Diagnosis of Breast Cancer Based on Multi-Attention Convolution Neural Network[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(1): 91-106. |
| [13] |
SUN Jiazhe, ZOU Ying. Application of Port Electronic Fence Recognition Based on Deep Learning[J]. Ocean Engineering Equipment and Technology, 2025, 12(1): 87-93. |
| [14] |
WANG Yubo, HAO Ling, XU Fei, CHEN Wenbin, ZHENG Libin, CHEN Lei, MIN Yong. Pattern Recognition and Ultra-Short-Term Probabilistic Forecasting of Power Fluctuating in Aggregated Distributed Photovoltaics Clusters[J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1334-1343. |
| [15] |
LI Mingai1, 2∗ (李明爱), WEI Lina1 (魏丽娜). Motor Imagery Classification Based on Plain Convolutional Neural Network and Linear Interpolation[J]. J Shanghai Jiaotong Univ Sci, 2024, 29(6): 958-966. |
|
|
|
|
2025, Vol. 8 
