基于cSVB算法的DME脉冲干扰抑制方法

doi:10.12305/j.issn.1001-506X.2024.08.35

系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (8): 2877-2885.doi: 10.12305/j.issn.1001-506X.2024.08.35

• 通信与网络 • 上一篇

基于cSVB算法的DME脉冲干扰抑制方法

李冬霞, 王佳妮, 彭祥清, 刘海涛, 王磊

中国民航大学电子信息与自动化学院, 天津 300300

收稿日期:2023-06-20 出版日期:2024-07-25 发布日期:2024-08-07
通讯作者: 李冬霞
作者简介:李冬霞 (1971—), 女, 教授, 博士, 主要研究方向为航空移动通信、甚高频数据链
王佳妮 (1999—), 女, 硕士研究生, 主要研究方向为航空移动通信
彭祥清 (1997—), 女, 硕士研究生, 主要研究方向为航空移动通信
刘海涛 (1966—), 男, 教授, 博士, 主要研究方向为航空移动通信、宽带移动通信
王磊 (1981—), 女, 副教授, 博士, 主要研究方向为卫星导航信号处理、航空移动通信
基金资助:
国家自然科学基金重点项目(U2233216);天津市多元投入基金项目(21JCQNJC00770)

DME pulse interference suppression method based on cSVB algorithm

Dongxia LI, Jiani WANG, Xiangqing PENG, Haitao LIU, Lei WANG

School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China

Received:2023-06-20 Online:2024-07-25 Published:2024-08-07
Contact: Dongxia LI

摘要/Abstract

摘要：

针对测距仪(distance measure equipment, DME)信号严重干扰L频段数字航空通信系统(L-band digital aviation communication system, L-DACS)前向链路接收机的问题, 提出基于相关稀疏变分贝叶斯(correlated sparse variational Bayesian, cSVB)算法的DME脉冲干扰抑制方法。所提方法利用L-DACS系统正交频分复用(orthogonal frequency division multiplexing, OFDM)接收机的空子载波信息构建接收信号的压缩感知方程; 然后, 根据cSVB算法进行三层次贝叶斯信号建模, 最后选择了两种变体算法重构DME干扰信号, 并将其从时域接收信号中去除。理论分析与仿真结果表明, 所提出的干扰抑制方法可以充分利用信号先验信息, 进一步降低DME干扰信号估计的归一化均方误差, 有效改善L-DACS系统的误码性能, 提高传输可靠性。

关键词: L波段数字航空通信系统, 测距仪, 块稀疏贝叶斯, 变分贝叶斯推理

Abstract:

To solve the problem that the distance measure equipment (DME) signal seriously interferes with the forward link receiver of L-band digital aviation communication system (L-DACS), a DME pulse interference suppression method based on correlated sparse variational Bayesian (cSVB) algorithm is proposed. In this method, the empty subcarrier information of the orthogonal frequency division multiplexing (OFDM) receiver of L-DACS system is used to construct the compressed sensing equation of the received signal. Then, three-level Bayesian signal modeling is carried out according to the cSVB algorithm. Finally, two variant algorithms are selected to reconstruct DME interference signal and remove it from the received signal in the time domain. Theoretical analysis and simulation results show that the proposed interference suppression method can make full use of prior information and further reduce the normalized mean square error of DME interference signal estimation, effectively improve the error performance of L-DACS system, and enhance the transmission reliability.

Key words: L-band digital aviation communication system (L-DACS), distance measure equipment (DME), block sparse Bayesian, variational Bayesian inference

中图分类号:

TN973.3

李冬霞, 王佳妮, 彭祥清, 刘海涛, 王磊. 基于cSVB算法的DME脉冲干扰抑制方法[J]. 系统工程与电子技术, 2024, 46(8): 2877-2885.

Dongxia LI, Jiani WANG, Xiangqing PENG, Haitao LIU, Lei WANG. DME pulse interference suppression method based on cSVB algorithm[J]. Systems Engineering and Electronics, 2024, 46(8): 2877-2885.

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参数	取值
传输带宽/MHz	0.498 05
子载波间隔/Hz	9 765.625
循环前缀/μs	17.6
OFDM符号周期/μs	102.4
有用子载波数	50
编码	卷积编码、交织编码
调制方式	正交相移键控
信道模型	AWGN/多径信道
DME干扰源数	1
DME载波偏移量/kHz	500
信干比/dB	-7
多径数目	8

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基于cSVB算法的DME脉冲干扰抑制方法

DME pulse interference suppression method based on cSVB algorithm

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