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| 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 |
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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.
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Received: 13 June 2025
Published: 31 October 2025
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2025, Vol. 8 
