基于稀疏贝叶斯推断的LDACS波束形成方法

doi:10.12305/j.issn.1001-506X.2025.01.34

Abstract

Abstract:

The L-band digital aeronautical communication system (LDACS), as one of the important technical means of the future aviation data link, is easy to be interfered by distance measuring equipment system signals of adjacent channels. Therefore, a beamforming method for LDACS based on sparse Bayesian inference is proposed. Firstly, the rough direction information of LDACS ground station is taken as a priori, and sparse signal is constructed according to the incoming sparsity of spatial signal. Then, Bayesian inference is used to estimate the power of interference and noise, and to estimate the coming of each signal source. Finally, the interference noise covariance matrix is reconstructed to obtain the beamforming weight vector. The method does not need to know the amount of interference and the direction of interference. Simulation results validate that the proposed method can also stabilize the output beam pattern and show good performance under the condition of low signal to noise ratio and few snapshots.

Key words: L-band digital aeronautical communication system (LDACS), distance measuring equipment, beamforming, sparse Bayesian inference

CLC Number:

TN911
V243.1

Lei WANG, Xiang GAO, Xiaoxiao HU. Beamforming method based on sparse Bayesian inference in LDACS[J]. Systems Engineering and Electronics, 2025, 47(1): 332-339.

Figures/Tables 9

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References 31

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参数	取值
传输带宽/kHz	498.05
子载波间距/kHz	9.765
采样频率/MHz	2.5
OFDM符号周期/μs	120
有效子载波个数	50
DME干扰个数	2
DME载波偏置/kHz	500
阵列类型	均匀线阵
阵元个数	10
阵元间隔	半波长
信道类型	加性高斯白噪声信道

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Beamforming method based on sparse Bayesian inference in LDACS

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