DME pulse interference suppression method based on BSBL-BO algorithm

被引:1
|
作者
Li D. [1 ]
Chen Q. [1 ]
Wang L. [1 ]
Liu H. [1 ]
机构
[1] Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin
来源
Li, Dongxia | 1600年 / Chinese Institute of Electronics卷 / 43期
关键词
Bayesian compression sensing; Block sparse Bayesian learning; Distance measure equipment (DME) interference; L-band digital aeronautical communication system 1 (L-DACS1);
D O I
10.12305/j.issn.1001-506X.2021.09.35
中图分类号
学科分类号
摘要
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. © 2021, Editorial Office of Systems Engineering and Electronics. All right reserved.
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收藏
页码:2649 / 2656
页数:7
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