Advanced Sensor Array Processing Technology for Low-Altitude Target Localization and Tracking

Dear Colleagues,

The rapid expansion of low-altitude airspace applications—including drone swarms, urban air mobility (UAM), and emergency response systems—has intensified the need for robust target localization and tracking solutions. Traditional approaches face challenges such as multipath interference in urban environments, dynamic clutter, and limited sensor scalability. This Special Issue aims to compile innovative research that addresses these gaps through advanced sensor array processing technologies, including sensor fusion, AI-driven algorithms, and emerging technologies like Reconfigurable Intelligent Surfaces (RIS). By fostering interdisciplinary collaboration, we seek to accelerate the development of next-generation systems for safe and efficient low-altitude operations.

We invite original contributions on the following themes:

1. ‌Radar/LiDAR/optical systems optimized for low-altitude scenarios.
2. ‌Adaptive filtering, beamforming, and clutter suppression techniques.
3. ‌Machine learning and deep learning for real-time target prediction.
4. ‌Integration of heterogeneous data sources for improved accuracy.
5. ‌Mitigation of multipath effects and occlusion in complex environments.
6. Waveform design for Reconfigurable Intelligent Surfaces (RIS)-aided wireless systems.
7. Design/optimization of reflection coefficients of an RIS.
8. Direction-of-arrival/channel estimation for LOS/NLOS sources.
9. Robust beamforming for RIS-aided wireless systems.
10. Resource allocation for multiple RIS collaboration.
11. Signal sampling, transmission, and recovery for RIS-aided wireless systems.

Prof. Dr. Xiaofei Zhang
Prof. Dr. Jianfeng Li
Prof. Dr. Fangqing Wen
Guest Editors

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