We propose the LCB-CV-UNet to tackle performance degradation caused by High Dynamic Range (HDR) radar signals. Initially, a hardware-efficient, plug-and-play module named Logarithmic Connect Block (LCB) is proposed as a phase coherence preserving solution to address the inherent challenges in handling HDR features. Then, we propose the Dual Hybrid Dataset Construction method to generate a semi-synthetic dataset, approximating typical HDR signal scenarios with adjustable target distributions. Simulation results show about 1% total detection probability improvement with under 0.9% computational complexity added compared with the baseline. Furthermore, it excels 5% over the baseline at the range in 11-13 dB signal-to-noise ratio typical for urban targets. Finally, the real experiment validates the practicality of our model.
@article{arxiv.2505.23454,
title = {LCB-CV-UNet: Enhanced Detector for High Dynamic Range Radar Signals},
author = {Yanbin Wang and Xingyu Chen and Yumiao Wang and Xiang Wang and Chuanfei Zang and Guolong Cui and Jiahuan Liu},
journal= {arXiv preprint arXiv:2505.23454},
year = {2025}
}