基于聚类算法的星载ADS-B波束自适应调整方法

doi:10.12305/j.issn.1001-506X.2025.05.30

Abstract

Abstract:

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.

Key words: satellite-based automatic dependent surveillance broadcast (ADS-B), digital phased array multi-beam synthesis, adaptive beamforming, clustering algorithm

CLC Number:

Yiran XIANG, Songting LI, Lihu CHEN. Adaptive beamforming adjustment method for satellite-based ADS-B based on clustering algorithm[J]. Systems Engineering and Electronics, 2025, 47(5): 1680-1686.

Figures/Tables 11

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Table 1

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技术指标	参数值
发射机发射功率P_t/dBm	54
发射天线增益G_t/dBm	0
接收天线增益G_r/dBm	14
接收馈线损耗L_r/dB	1
载波频率f/MHz	1 090
轨道高度d/km	780
天线仰角θ/(°)(卫星波束可视范围)	5~90(θ_min~θ_max)
传输距离d/km(波束中心~波束边缘)	780~2 819(d_min~d_max)
自由空间链路衰减L_f/dB	151~162
接收机接收功率P_r/dBm	－84~－95
接收机噪声系数NF/dB	2.5
滤波器插损INL/dB	2
解调损失Loss/dB	2
接收机灵敏度P_s/dBm	-101.5
链路余量/dBm	6.5~17.5

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Adaptive beamforming adjustment method for satellite-based ADS-B based on clustering algorithm

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