联合压缩感知与干扰白化的脉冲干扰抑制方法

刘海涛; 张智美; 成玮; 张学军

doi:10.13700/j.bh.1001-5965.2014.0545

联合压缩感知与干扰白化的脉冲干扰抑制方法

doi: 10.13700/j.bh.1001-5965.2014.0545

1.
中国民航大学天津市智能信号与图像处理重点实验室, 天津 300300
2. 北京航空航天大学电子信息工程学院, 北京 100191

基金项目: 国家自然科学基金(U1233117,61271404)

详细信息

通讯作者:
刘海涛(1966-),男,河北沧州人,教授,主要研究方向为航空移动通信系统,htliucauc@qq.com.

中图分类号: V243.1;TN929.5
计量
- 文章访问数: 1048
- HTML全文浏览量: 97
- PDF下载量: 634
- 被引次数: 0
出版历程
- 收稿日期: 2014-09-05
- 网络出版日期: 2015-08-20

Impulse interference mitigation method based on joint compressed sensing and whitening of interference

1.
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
2. School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 针对L频段数字航空通信系统1(L-DACS1)以内嵌方式部署在航空无线电导航频段而产生的测距仪脉冲干扰(DME)正交频分复用(OFDM)接收机的问题,提出联合压缩感知与残留干扰白化的测距仪脉冲干扰抑制方法.首先接收机通过空子载波信道来观测测距仪脉冲干扰,并利用测距仪脉冲干扰在时域的稀疏特性,基于l1范数最小化约束的凸优化方法重构测距仪脉冲干扰;然后将重构的脉冲干扰转换到频域进行干扰消除;最后,接收机通过信号解交织器与逆正交变换器将残留的脉冲干扰转换为高斯白噪声,避免了残留干扰信号造成的突发性解调错误.仿真研究表明:联合干扰抑制方法可有效消除测距仪脉冲信号干扰,显著提高L-DACS1系统链路传输的可靠性.
- L波段数字航空通信系统1(L-DACS1) /
- 正交频分复用(OFDM) /
- 测距仪脉冲干扰(DME) /
- 压缩感知 /
- 凸优化
Abstract: To mitigate the deleterious influence of distance measure equipment (DME) interference on orthogonal frequency division multiplexing (OFDM) receiver of L-band digital aeronautical communications system 1(L-DACS1) operating as an inlay system, a new DME interference suppression method was proposed based on joint compressed sensing and whitening of residual interference. Firstly, the DME impulse interference was observed via null subcarriers channel of the OFDM receiver and reconstructed with convex optimization constrained l1 norm minimization method based on the sparse property of the DME impulse interference in time domain. Then the reconstructed DME impulse interference was transformed to frequency domain and eliminated from the received signal. Finally, to avoid burst errors of demodulator, the residual impulse interference was converted to white Gaussian noise by using the de-interleaver and inverse orthogonal transformer. The computer simulation indicates that the proposed method can reduce the impact of DME interference effectively, and improve the reliability of OFDM receiver of the L-DACS1 system significantly.

HTML全文

参考文献(20)

[1]	Neji N, De Lacerda R,Azoulay A,et al.Survey on the future aeronautical communication system and its development for continental communications[J].IEEE Transactions on Vehicular Technology,2013,62(1):182-191.
[2]	Brandes S, Epple U,Schnell M,et al.Physical layer specification of the L-band digital aeronautical communications system(L-DACS1)[C]//2009 Integrated Communications,Navigation and Surveillance Conference.Piscataway,NJ:IEEE Press,2009:1-12.
[3]	Jain R, Templin F,Kwong-Sang Y.Analysis of L-band digital aeronautical communication systems:L-DACS1 and L-DACS2[C]//2011 IEEE Aerospace Conference.Piscataway,NJ:IEEE Press,2011:1-10.
[4]	Schnell M, Epple U,Shutin D,et al.LDACS:Future aeronautical communications for air-traffic management[J].IEEE Communications Magazine,2014,52(5):104-110.
[5]	Epple U, Schnell M.Overview of legacy systems in L-band and its influence on the future aeronautical communication system L-DACS1 [J].IEEE Aerospace and Electronic Magazine,2014,29(2):31-37.
[6]	Epple U, Hoffmann F,Schnell M.Modeling DME interference impact on LDACS1[C]//Integrated Communications,Navigation and Surveillance Conference(ICNS).Piscataway,NJ:IEEE Press,2012:G7-1-G7-13.
[7]	Epple U, Brandes S,Gligorevic S,et al.Receiver optimization for L-DACS1[C]//IEEE/AIAA 28th Digital Avionics Systems Conference.Piscataway,NJ:IEEE Press,2009:4.B.1-1-4.B.1-12.
[8]	Brandes S, Epple U,Schnell M.Compensation of the impact of interference mitigation by pulse blanking in OFDM systems[C]//IEEE Global Telecommunications Conference.Piscataway,NJ:IEEE Press,2009:1-6.
[9]	Epple U, Shutin D,Schnell M.Mitigation of impulsive frequency-selective interference in OFDM based systems[J].IEEE Wireless Communications Letters,2012,1(5):484-487.
[10]	Epple U, Schnell M.Adaptive threshold optimization for a blanking nonlinearity in OFDM receivers[C]//IEEE Global Communications Conference(GLOBECOM).Piscataway,NJ:IEEE Press,2012:3661-3666.
[11]	Caire G, Al-Naffouri T Y,Narayanan A K,Impulse noise cancellation in OFDM:an application of compressed sensing[C]//IEEE International Symposium on Information Theory.Piscataway,NJ:IEEE Press,2008:1293-1297.
[12]	Lin J, Nassar M,Evans B L.Impulsive noise mitigation in powerline communications using sparse Bayesian learning[J].IEEE Journal on Selected Areas in Communications,2013,31(7):1172-1183.
[13]	Al-Naffouri T Y, Quadeer A A,Caire G.Impulse noise estimation and removal for OFDM systems[J].IEEE Transaction on Communications,2014,62(3):976-989.
[14]	Brandes S. Suppression of mutual interference in OFDM based overlay systems[D].Karlsruhe,Baden-Württemberg:University of Karlsruhe,2009.
[15]	Donoho D L. Compressed sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306.
[16]	Tropp J A. Just relax:Convex programming methods for identifying sparse signals in noise[J].IEEE Transactions Information Theory,2006,52(3):1030-1051.
[17]	Fuchs J J. Recovery of exact sparse representations in the presence of noise[C]//IEEE International Conference on Acoustics,Speech,and Signal Processing.Piscataway,NJ:IEEE Press,2004:533-536.
[18]	Donoho D L, Elad M,Temlyakov V N.Stable recovery of sparse overcomplete representations in the presence of noise[J].IEEE Transactions on Information Theory,2006,52(1):6-18.
[19]	Ewout V D, Michael P F.Probing the Pareto frontier for basis pursuit solution[J].Society for Industrial Applied Mathematics,2008,31(2):890-912.
[20]	Boyd S. CVX:Matlab software for disciplined convex programming[EB/OL].California:Stanford University,2012(2015-03)[2015-05-09].