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

作　　者：李冬霞[1] 陈秋雨 王磊[1] 刘海涛[1] LI Dongxia;CHEN Qiuyu;WANG Lei;LIU Haitao(Tianjin Key Laboratory for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]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

出　　处：《系统工程与电子技术》2021年第9期2649-2656,共8页Systems Engineering and Electronics

基　　金：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)资助课题。

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 sparsEbayesian learning-thEbound 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。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-BOalgorithm.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.

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 

分 类 号：TN973.3[电子电信—信号与信息处理]