@article{Heng2025, 
author = {Siyu Heng and Ting Cheng and Jiaming Song and Zishu He and Luqing Liu and Yuanqing Wang},
title = {Adaptive Dwell Scheduling Based on Dual-Side Time Pointers for Simultaneous Multi-Beam Radar},
year = {2025},
journal = {Tsinghua Science and Technology},
volume = {30},
number = {3},
pages = {1190-1200},
keywords = {multifunctional radar, resource management, scheduling algorithms, simultaneous multi-beam},
url = {https://www.sciopen.com/article/10.26599/TST.2023.9010161},
doi = {10.26599/TST.2023.9010161},
abstract = {Adaptive dwell scheduling is essential to achieve full performance for a simultaneous multi-beam radar system. The dwell scheduling for such a radar system considering desired execution time criterion is studied in this paper. The primary objective of this model is to achieve maximum scheduling gain and minimum scheduling cost while adhering to not only time, aperture, and frequency constraints, but also electromagnetic compatibility (EMC) constraint. The dwell scheduling algorithm is proposed to solve the above optimization problem, where several separation points are set on the timeline, so that each separator divides the scheduling interval into two sides. For the two sides, the dual-side time pointers are introduced, which move from the separator to both ends of the scheduling interval. The dwell tasks are analyzed in sequence at each analysis point based on their two-level synthetical priority. These tasks are then executed simultaneously by sharing the whole aperture under various constraints to accomplish multiple tasks concurrently. The above process is respectively conducted at each separator, and the final scheduling result is the one with the minimal cost among all. Simulation results prove that the proposed algorithm can achieve real-time dwell scheduling and outperform the existing algorithms in terms of scheduling performance.}
}