Effective impulse interference cancellation method for broadband aeronautical data link system

Abstract

Abstract:

In order to mitigate the deleterious impact of impulse interference signal on receiving reliability of the future broadband aeronautical data link communication system,an impulse interference cancellation method based on compressed sensing(CS)theory is proposed. The block-sparse characteristic of impulse signal in broadband aeronautical data link OFDM system is considered and the fact that the virtual sub-carriers in system don't carry modulated symbol is also utilized to obtain measurement vector in the method. Block-sparse Bayesian learning algorithm and the expectation maximum estimation method are used to derive the statistic parameters learning rules of impulse signal. And impulse signal is recovered and removed at last. Simulation results demonstrate that the location and amplitude of impulse signal can be estimated effectively using the proposed method and the BER performance of OFDMsystem is approved significantly after interference cancellation.

Key words: broadband aeronautical data link, block-sparse Bayesian learning algorithm, impulse noise suppression

CLC Number:

TN929.5
V243

LI Dong-xia,YANG Ling,ZHANG Yuan-yuan. Effective impulse interference cancellation method for broadband aeronautical data link system[J]. .

References

[1] ROKITANSKY C-H，EHAMMER M，GRAUPL TH，et al. B-AMC-A System for Future Broadband Aeronautical Multi-Carrier Communications in the L-Band[C]//2007 Digital Avionics Systems Conference（DASC 2007），Dallas，TX，USA，October 2007：1-13.

[2] BRANDES S，EPPLE U，GLIGOREVIC S，et al. Physical Layer Specification of the L-band Digital Aeronautical Communications System（LDACS1）[C]//2009 Integrated Commications，Navigation and Surveillance Conference（ICNS2009），Washington，DC，USA，May 2009：1-12.

[3] SURAWEERA H A，CHAI C，SHENTU J，et al. Analysis of Impulse Noise Mitigation Techniques for Televison Systems[C]//2003 International OFDM Workshop（InOwo 2003），Hamburg，Germany，September 2003：172-176.

[4] ARMSTRONG J，SURAWEERA H A. Impulse Noise Mitigation for OFDM Using Decision Directed Noise Estimation[C]//2004 IEEE EighthInternatial SymposiumonSpreadSpectrumTechniquesandApplications，2004：174-178.

[5] SERGEY V，ZHIDKOV. Analysis and comparison of several simple impulsive noise mitigation schemes for OFDMreceivers[J]. IEEE Transaction Communications，2008，56（1）：5-9.

[6] BRANDES S，MICHAEL SCHNELL. Compensation of the Impact of Interference Mitigation by Pulse Blanking in OFDM Systems[C]//2009 IEEE Global Telecommunications Conference（GLOBECOM 2009），Honululu，USA，Proc. Nov. 2009：1-6.

[7] EPPLE U，SHIBLI K，SCHNELL M. Investigation of Blanking Nonlinearity in OFDMSystems[C]//2011 IEEE International Conference on Communications（ICC 2011），Kyoto，Japan，June 2011：1-5.

[8] 石光明，刘丹华，高大华，等. 压缩感知理论及其研究进展[J]. 电子学报，2009，37（5）：1070-1081.

[9] European Organization for the Safety of Air Navigation援L-DACS1 System Definition Proposal：Deliverable D2[G]援EUROCONTROL Headquarters，2009.

[10] ZHANG ZHILIN，BHASKAR D RAO. Extension of SBL algorithms for the recovery of block sparse signals with intra-block correlation[J].IEEE Transactions on Signal Processing，2013，61（8）：2009-2015.

[11] 李航.统计学习方法[M].北京：清华大学出版社，2012.