Radar radiation identification based on online transfer learning

Chunyan Lan; Ying Wang; Richeng Guo; Chenqian Zhao; Kaina Zhang

doi:10.1117/12.3012487

21 December 2023 Radar radiation identification based on online transfer learning

Chunyan Lan, Ying Wang, Richeng Guo, Chenqian Zhao, Kaina Zhang

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700I (2023) https://doi.org/10.1117/12.3012487
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Radar radiation identification suffer from the problem that the existing identification method can not process radar radiation data streams which does not in the database. In this paper, in order to solve the problem, we first introduce Online Transfer Learning (OTL) into radar radiation identification field. OTL is a machine learning framework, which aims to attack an online learning task by transferring knowledge from some source domain to a target domain. By extending binary classification online transfer learning to multiple classification tasks, we then consider the problem of training multiple classification online transfer learning using radar radiation data streams. Finally, the simulation results validate the efficacy of radar radiation identification based on online transfer learning techniques.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chunyan Lan, Ying Wang, Richeng Guo, Chenqian Zhao, and Kaina Zhang "Radar radiation identification based on online transfer learning", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700I (21 December 2023); https://doi.org/10.1117/12.3012487

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