Author

Xiao-Bo Yang

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Preprint Oct 2026

A Robust Learning Framework for Deep-Learning-Based Radar Target Detection With Partially Mislabeled Training Data

Deep-learning-based radar target detection has substantially improved detection performance, but its effectiveness depends critically on the correctness of the training labels assigned to radar echo samples. In practical applications, training data may contain partially mislabeled samples, which can cause detection mod...

Chuan-Fei Zang, Yi-Ru Lin, Yu-Miao Wang et al. · 0 citations

2026

Waveform-Encrypted LPI Radar Framework: Joint Sequence Design, Robust Decryption, and Analysis

In the presence of sophisticated electronic reconnaissance, low probability of intercept (LPI) property is a key enabler for improving radar survivability. Many existing LPI waveform designs improve intercept resistance by suppressing signal features in specific domains or by countering particular reconnaissance functi...

Pei-Jie Zhu, Tao Fan, Xian-Xiang Yu et al. · IEEE Transactions on Aerospa... · 0 citations

Preprint Oct 2026

Radar Intelligent Detection with Coarse-Grained Labels

Many deep learning based radar target detectors rely on range-cell level labels for training, which are expensive to obtain. To reduce the labeling burden, this paper presents a training strategy that uses only range-window level labels. Specifically, two sub-echoes are randomly cropped from the same window echo, resul...

Chuan-Fei Zang, Yu-Miao Wang, Xing-Yu Chen et al. · 0 citations