Recursive Convolutional Target Detector Efficacy
收藏DataCite Commons2025-02-18 更新2025-04-16 收录
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https://ieee-dataport.org/documents/recursive-convolutional-target-detector-efficacy
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资源简介：
This paper proposes a novel Recursive Convolutional Target Detector (RCTD) for Frequency-Modulated Continuous-Wave (FMCW) radar in complex automotive scenarios. Leveraging a lightweight convolutional neural network, RCTD efficiently localizes multiple targets despite strong interference. Detailed simulations and a hardware prototype on an FPGA-based deep learning processor demonstrate real-time feasibility, low false alarm rates, and higher detection accuracy under stringent resource constraints.
提供机构：
IEEE DataPort
创建时间：
2025-02-18
