Modulation Recognition Algorithm of Radar Signal Based on ICanny-CNN

Xinrui Mao, Jingpeng Gao, Junwei Qi
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Abstract

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.
基于ICanny-CNN的雷达信号调制识别算法
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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