基于ICanny-CNN的雷达信号调制识别算法

2021 International Symposium on Antennas and Propagation (ISAP) Pub Date : 2021-10-19 DOI:10.23919/ISAP47258.2021.9614462

Xinrui Mao, Jingpeng Gao, Junwei Qi

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引用次数: 0

摘要

针对低信噪比下复合信号调制识别率低的问题，提出了一种基于ICanny-CNN的调制识别算法。仿真结果表明，该算法在0dB时可达90.83%，在-8dB时可达71.52%。因此，该算法在雷达信号调制识别等领域具有良好的分类和抗噪性能。

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Modulation Recognition Algorithm of Radar Signal Based on ICanny-CNN

Aiming at the low recognition rate on the composite signal modulation in low Signal to Noise Ratio (SNR), this paper proposes a modulation recognition algorithm based on ICanny-CNN. The simulation results show that the proposed algorithm can reach 90.83% at 0dB and 71.52% at -8dB. Therefore, the proposed algorithm has a good classification and anti-noise performance in radar signal modulation recognition and other fields.

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2021 International Symposium on Antennas and Propagation (ISAP)

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