Man Zhang, Huang Quan, Duan Jia
School of Electronic and Communication Engineering, Guangzhou University, Guangzhou 510006, China.
Key Laboratory of On-Chip Communication and Sensor Chip of Guangdong Higher Education Institutes, Guangzhou 510006, China.
Sensors (Basel). 2024 Apr 26;24(9):2770. doi: 10.3390/s24092770.
Transient interference often submerges the actual targets when employing over-the-horizon radar (OTHR) to detect targets. In addition, modern OTHR needs to carry out multi-target detection from sea to air, resulting in the sparse sampling of echo data. The sparse OTHR signal will raise serious grating lobes using conventional methods and thus degrade target detection performance. This article proposes a modified Alternating Direction Method of Multipliers (ADMM)-Net to reconstruct the target and clutter spectrum of sparse OTHR signals so that target detection can be performed normally. Firstly, transient interferences are identified based on the sparse basis representation and then excised. Therefore, the processed signal can be seen as a sparse OTHR signal. By solving the Doppler sparsity-constrained optimization with the trained network, the complete Doppler spectrum is reconstructed effectively for target detection. Compared with traditional sparse solution methods, the presented approach can balance the efficiency and accuracy of OTHR signal spectrum reconstruction. Both simulation and real-measured OTHR data proved the proposed approach's performance.
当使用超视距雷达（OTHR）检测目标时，瞬态干扰常常会淹没实际目标。此外，现代OTHR需要进行从海到空的多目标检测，这导致回波数据的稀疏采样。稀疏的OTHR信号使用传统方法会产生严重的栅瓣，从而降低目标检测性能。本文提出一种改进的交替方向乘子法（ADMM）网络，用于重构稀疏OTHR信号的目标和杂波频谱，以便能正常进行目标检测。首先，基于稀疏基表示识别瞬态干扰，然后将其去除。因此，处理后的信号可视为稀疏OTHR信号。通过使用训练好的网络求解多普勒稀疏约束优化问题，有效地重构完整的多普勒频谱用于目标检测。与传统的稀疏求解方法相比，所提方法能够平衡OTHR信号频谱重构的效率和准确性。仿真和实测OTHR数据均证明了所提方法的性能。
