Airborne radar and communication systems are essential for modern aviation, supporting precise detection and reliable data exchange. Since pulse radar does not continuously occupy its frequency band, the authors attempt to enable the communication system to operate within the radar's frequency band, thereby enhancing the efficiency of spectrum resource utilization. The GA-DSPA method not only mitigates this interference but also ensures optimal spectrum utilization and power allocation, paving the way for safer, more efficient aviation systems.
"Our study introduces a dynamic spectrum and power allocation method that simultaneously optimizes radar detection probability and communication throughput," said Youwei Meng, the study's first author. "Under coexistence conditions, simulation and experimental results indicate that our method can achieve up to a 22% improvement in radar detection probability, while significantly increasing the communication system's throughput. The genetic algorithm we developed integrates dynamic environmental perception and innovative sorting techniques, allowing rapid adaptation to changing conditions, ensuring superior trade-offs between conflicting objectives."
The study employed a two-stage genetic algorithm framework. The initial phase optimized decision variable boundaries using prior knowledge. The second phase dynamically adjusted to environmental changes, leveraging archived solutions to maintain performance. Testing in a controlled darkroom environment further validated the algorithm's robustness and adaptability. The research team plans to explore advanced applications in cluttered environments and implement the algorithm on independent hardware platforms. These efforts aim to further enhance electromagnetic compatibility and expand the system's operational scope.
This research offers transformative potential for both civilian and military aviation. By addressing spectrum-sharing challenges, the GA-DSPA method enhances the operational reliability of radar and communication systems. Future implementations could extend to other industries reliant on spectrum-sharing technologies, such as autonomous vehicles and IoT networks.
Other contributors include Yaoyao Li, Shaoxiong Cai, Donglin Su from the School of Electronic and Information Engineering, Beihang University, China. This study was co-supported by the National Natural Science Foundation of China (No. 62293495), the National Key Research and Development Program of China (No. 2023YFB3306900) and the Academic Excellence Foundation of Beihang University for PHD Students.
Original Source
Youwei MENG, Yaoyao LI, Shaoxiong CAI, Donglin SU. A dynamic spectrum and power allocation method for co-located pulse radar and communication system coexistence[J]. Chinese Journal of Aeronautics, 2025, 38(4): 103417, https://doi.org/10.1016/j.cja.2025.103417.
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