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| Radar HRRP Target Recognition Algorithm Based on Variational Auto-encoder with Disentangled Representation |
| ZHANG Yanhe，ZANG Yuejin，CHEN Bo，XU Mingsheng |
| 1. National Laboratory of Radar Signal Processing， Xidian University， Xi’an 710071， Shaanxi， China；
2. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China
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Abstract In radar high-resolution range profile target recognition, the representation of data can influence the performance of the classifier significantly. In order to make the data representation more separable, this paper proposes a variational auto-encoder with disentangled representation. By modeling the common representation between different class and the distinctive representation respectively, after optimizing the parameter of the network, it can extract a more separable representation of the data. The measured HRRP data are used to show the effectiveness and efficiency of the algorithm.
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Received: 27 April 2021
Published: 12 July 2022
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2022, Vol. 5 
