摘要
星载广播式自动相关监视(automatic dependent surveillance broadcast,ADS-B)技术有效地解决了地面基站无法覆盖全球空域的问题,但仍面临星地传播距离远、损耗大、波束覆盖目标多、信号冲突严重等挑战。针对部分子波束内信号冲突严重、飞机漏检概率高的现象,设计25阵元19子波束均匀分布的数字相控阵天线,提出基于聚类算法的子波束优化方法。首先对样本进行基于代表点聚类,再依据结果对波束指向和覆盖范围(或者覆盖半径)非线性优化,以期降低信号冲突提高飞机检测概率。仿真结果表明,飞机检测概率提高9%~13%,比现有研究算法计算时长缩短87%~95%,波束自适应算法品质因数提高85%~94%。
Satellite-based automatic dependent surveillance broadcast(ADS-B)has effectively solved the problem that terrestrial-based stations cannot cover the global airspace,but it still faces challenges such as long satellite-ground propagation distance,large attenuation,multiple beam coverage targets,and serious signal conflicts.A digital phased array antenna with 25 elements and 19 sub-beams evenly distributed is designed to solve the problem of serious signal conflict and high probability of aircraft missing detection.First,clustering using representatives is performed on the samples,and then nonlinear optimization of beam direction and coverage area is performed according to the results,in order to reduce signal conflict and improve aircraft detection probability.The simulation results show that the detection probability of aircraft is increased by 9%-13%,the calculation time is decreased by 87%-95%,and the figure of merit is increased by 85%-94%compared with the existing research algorithm.
作者
向怡然
李松亭
陈利虎
XIANG Yiran;LI Songting;CHEN Lihu(College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073,China)
出处
《系统工程与电子技术》
北大核心
2025年第5期1680-1686,共7页
Systems Engineering and Electronics
基金
国家自然科学基金(61804182)
临近空间科技与产业引导基金(LKJJ-2023022-01)资助课题。
关键词
星载广播式自动相关监视
数字相控阵多波束合成
波束自适应
聚类算法
satellite-based automatic dependent surveillance broadcast(ADS-B)
digital phased array multi-beam synthesis
adaptive beamforming
clustering algorithm
