基于IUPF算法的三维无人机毫米波波束跟踪

doi:10.12305/j.issn.1001-506X.2023.01.30

Abstract

Abstract:

Unmanned aerial vehicle millimeter-wave communication technology has broad application prospects in military and civilian fields due to its high-speed data transmission and wide-area network coverage capabilities. Aiming at the problem that the unmanned aerial vehicle mmWave communication needs accurate beam tracking, a three-dimensional beam tracking method based on the improved unscented Kalman particle filter algorithm is proposed. This method, firstly, uses the unscented Kalman filter to establish the proposed density function and updates the sampled particles; then calculates the weight of each sampled particle, and re-samples the particles after normalization; finally calculates the particle average value to obtain the beam tracking angle. The simulation results show that compared with the previous millimeter-wave beam tracking methods, this method greatly lowers the estimation error, and significantly improves the beam tracking accuracy.

Key words: unmanned aerial vehicle communication, millimeter-wave, beam tracking, improved unscented Kalman particle filter (IUPF)

CLC Number:

TN928

Junjie ZHANG, Weizhi ZHONG, Lulu ZHANG, Junzhi WANG, Qiuming ZHU. 3D UAV millimeter-wave beam tracking based on IUPF algorithm[J]. Systems Engineering and Electronics, 2023, 45(1): 257-263.

Figures/Tables 10

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References 31

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仿真参数	数值
跟踪时隙	100
权重影响因子	0.1, 0.2, 0.3, 0.5, 0.8
角度变化方差	(0.5)²
接收端天线数M_r, N_r	8, 16, 24, 32
发射端天线数M_t, N_t	8, 16, 24, 32
EOA, ZOA初始角度/(°)	45
EOD, ZOD初始角度/(°)	45
SNR/dB	20

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3D UAV millimeter-wave beam tracking based on IUPF algorithm

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