基于BSBL-BO算法的DME脉冲干扰抑制方法

doi:10.12305/j.issn.1001-506X.2021.09.35

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (9): 2649-2656.doi: 10.12305/j.issn.1001-506X.2021.09.35

基于BSBL-BO算法的DME脉冲干扰抑制方法

李冬霞*, 陈秋雨, 王磊, 刘海涛

中国民航大学智能信号与图像处理天津市重点实验室, 天津 300300

收稿日期:2020-09-10 出版日期:2021-08-20 发布日期:2021-08-26
通讯作者: 李冬霞
作者简介:李冬霞 (1971—), 女, 副教授, 硕士研究生导师, 博士, 主要研究方向为航空移动通信、甚高频数据链|陈秋雨 (1996—), 女, 硕士研究生, 主要研究方向为航空移动通信|王磊 (1981—), 女, 副教授, 硕士研究生导师, 博士, 主要研究方向为卫星导航信号处理、航空移动通信|刘海涛 (1966—), 男, 教授, 硕士研究生导师, 博士, 主要研究方向为航空移动通信、宽带移动通信
基金资助:
天津市自然科学基金青年基金(19JCQNJC00800);国家自然科学基金委员会与中国民航局联合项目(U1733120)

DME pulse interference suppression method based on BSBL-BO algorithm

Dongxia LI*, Qiuyu CHEN, Lei WANG, Haitao LIU

Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China

Received:2020-09-10 Online:2021-08-20 Published:2021-08-26
Contact: Dongxia LI

摘要/Abstract

摘要：

针对测距仪(distance measure equipment, DME)信号干扰L频段数字航空通信系统1(L-band digital aeronautical communication system 1, L-DACS1)正交频分复用(orthogonal frequency-division multiplexing, OFDM)接收机的问题, 提出基于块稀疏贝叶斯学习-边界优化(block sparse bayesian learning-the bound optimization, BSBL-BO)算法的DME脉冲干扰抑制方法。首先, 利用OFDM接收机空子载波不传输有用信号的特点构造针对DME脉冲干扰信号的压缩感知模型; 然后基于BSBL-BO算法重构DME脉冲干扰信号; 最后在时域进行干扰消除。仿真结果表明, 该方法比已有的脉冲干扰抑制方法具有更高的重构精度和更快的运算速度, 进一步降低了OFDM接收机的误比特率, 提高了L-DACS1系统前向链路传输性能。

关键词: L频段数字航空通信系统1型, 测距仪干扰, 贝叶斯压缩感知, 块稀疏贝叶斯学习

Abstract:

In view of the problem of the distance measure equipment (DME) signal interferes with orthogonal frequency-division multiplexing (OFDM) receiver for L-band digital aeronautical communication system 1 (L-DACS1), a DME interference suppression method based on block sparse Bayesian learning-the bound optimization (BSBL-BO) algorithm is proposed. Firstly, considering that the empty subcarriers of OFDM receiver never transmit useful signals, the compressed sensing model for DME pulse interference signal is established. Then the DME pulse interference signal is reconstructed based on the BSBL-BO algorithm.Finally, the reconstructed DME pulse interference is eliminated in the time domain. The simulation results show that this method has higher reconstruction accuracy and faster operation speed than the existing pulse interference suppression methods, which can further reduce the bit error rate of OFDM receiver and improve the trans-mission performance of forward link in L-DACS1 system significantly.

Key words: L-band digital aeronautical communication system 1 (L-DACS1), distance measure equipment (DME) interference, Bayesian compression sensing, block sparse Bayesian learning

中图分类号:

TN973.3

李冬霞, 陈秋雨, 王磊, 刘海涛. 基于BSBL-BO算法的DME脉冲干扰抑制方法[J]. 系统工程与电子技术, 2021, 43(9): 2649-2656.

Dongxia LI, Qiuyu CHEN, Lei WANG, Haitao LIU. DME pulse interference suppression method based on BSBL-BO algorithm[J]. Systems Engineering and Electronics, 2021, 43(9): 2649-2656.

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算法名称	运算复杂度
凸优化^[23]	O(N³)
SABMP	O(MN²)
BSBL-BO	O(MN²)

参数	取值
载波频率/GHz	1
传输带宽/MHz	0.498 05
子载波间隔/Hz	9 765.625
采样间隔/μs	1.6
发射/接收天线数	1/1
循环前缀长度/μs	17.6
有用符号长度/μs	102.4
有用子载波数	50
信道编码	卷积编码
调制方式	QPSK
信道模型	AWGN/航空移动Parking信道
DME干扰源数	1
DME载波偏移量/kHz	500
信干比/dB	-7
信道估计	理想信道估计
信道均衡	迫零均衡

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基于BSBL-BO算法的DME脉冲干扰抑制方法

DME pulse interference suppression method based on BSBL-BO algorithm

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