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多径信道下的OFDM信号带宽盲估计 被引量:5

Bandwidth blind estimation of OFDM signals in multipath channels
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摘要 针对传统的正交频分复用(OFDM)信号的带宽估计方法在低信噪比多径信道下,估计精度低且计算量大的问题,提出一种OFDM信号带宽盲估计方法.本方法首先根据接收到的观测信号建立自回归(AR)模型,通过AR模型计算信号的功率谱;然后将其功率谱等效成矩形谱,并将矩形谱的带宽作为OFDM信号的估计带宽;最后通过多次循环求统计平均得到信号的精确带宽估计.仿真结果表明:本方法在GSNR=0dB的多径信道下,带宽估计仅为1.68%.可见在低信噪比多径信道下该方法的带宽估计精度更高,计算复杂度更低. Traditional orthogonal frequency division multiplexing(OFDM) bandwidth estimation scheme can not achieve accurate estimation results at low signal noise ratios(SNRs) and in multipath channels,besides,it acquires a great mount of computation.To deal with these problems,a new bandwidth estimation scheme of OFDM signals was proposed.Firstly,the autoregressive(AR) model was established according to the received OFDM signals,and the power spectrum density could be computed with the AR model.Secondly,the power spectrum density was equivalent to a rectangular spectrum whose bandwidth was used as the bandwidth of OFDM signals.Finally,it was repeated many times and the statistical average value was used as the final bandwidth estimation value.Simulation results show that bandwidth estimate scheme with estimation error has only 1.68% at GSNR=0 dB and in multipath channels.So the new scheme not only has higher precision at low SNR and in multipath channels but also has lower computational complexity.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第10期79-82,共4页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家高技术研究发展计划资助项目(2007AA01Z288) 国家自然科学基金资助项目(60772138) 高等学校学科创新引智计划资助项目(B08038)
关键词 正交频分复用 参数估计 带宽估计 多径信道 自回归模型 矩形谱 orthogonal frequency division multiplexing(OFDM) parameter estimate bandwidth estimate multipath channels autoregressive(AR) model rectangular spectrum
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  • 1俞鹤伟.IEEE802.11a标准中OFDM系统的同步新算法[J].电讯技术,2004,44(4):24-28. 被引量:6
  • 2肖悦,李少谦,雷霞,唐友喜.限幅OFDM的一种信道估计优化方法[J].电子学报,2006,34(10):1860-1863. 被引量:1
  • 3Li Y G, Jr Cimini L J, Sollenberger N R. Robust channel estimation for OFDM systems with rapid dispersive fading channels [J]. IEEE Transactions on Communications, 1998, 46(7) : 902-915. 被引量:1
  • 4Gravalos A G, Hadjinicolaou M G, Qiang N. Performance analysis of IEEE 802. lln under different STBC rates using 64-QAM[C] // International Symposium on Wireless Pervasive Computing. San Juan: IEEE, 2007: 164-168. 被引量:1
  • 5Hsieh Meng-Han, Wei Che-Ho. Channel estimation for OFDM system based on comb-type pilot arrangement in frequency selective fading channels[J]. IEEE Transactions on Consumer Electronics, 1998, 44(1):217-225. 被引量:1
  • 6Cavers J K, An analysis of pilot symbol assisted modulation for Rayleigh fading channels[J]. IEEE Transactions on Vehicular Technology, 1991, 40(4):686- 693. 被引量:1
  • 7Li Y G. Pilot-symbol-aided channel estimation for OFDM in wireless systems[J], IEEE Transactions on Vehicular Technology, 2000, 49(4):1 207- 1 215. 被引量:1
  • 8Huang M, Chen X, Xiao L, et al. Kalman-filter- based channel estimation for orthogonal frequency-division multiplexing systems in time-varying channels [J]. IET Commun, 2007, 1(4):795-801. 被引量:1
  • 9Kang Y, Kim K, Park H. Efficient DFT-based channel estimation for OFDM systems on multipath channels[J]. IET Commun, 2007, 1(2): 197-202. 被引量:1
  • 10PAULRAJ A J, GORE D A, ROHIT U, et al. An overview of MIMO communications a key to gigabit wireless[J]. Proceedings of the IEEE, 2004, 92(2): 198-218. 被引量:1

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  • 1Li Jianggang,Tang Wanbin, Li Shaoqian, et al. A simple and effective SNR estimation algorithm for OFDM in Rayleigh fa- ding channels[ C ]. 7th International Conference on Informa- tion, Communications & Signal Processing, Macao, China, 2010 : 172 - 176. 被引量:1
  • 2Zivkovic M, Mathar R. An improved preamble-based SNR estimation algorithm for OFDM systems [ C ]. 21st Annual IEEE International Symposium on Personal, Indoor and Mo- bile Radio Communications, Instanbul, Turkey, 2010 : 172 176. 被引量:1
  • 3Wang Kun, Zhang Xianda. Blind noise variance and SNR es- timation for OFDM systems based on information theoretic criteria [ J ]. Signal Processing,2010,90 ( 9 ) : 2766 - 2772. 被引量:1
  • 4Cui Tao, Chintha T. Power delay profile and noise variance estimation for OFDM [J]. IEEE Communication Letters, 2006,10( 1 ) :25 - 27. 被引量:1
  • 5Socheleau F X, AYssa-E1-Bey A, Houcke S. Non data-aidedSNR estimation of OFDM signals [J]. IEEE Communication Letters, 2008,12 ( 11 ) : 813 - 815. 被引量:1
  • 6Kim S A, An D G, Ryu H G, et al. Efficient SNR estimation in OFDM system[ C]//Proceedings 2011 IEEE Radio and Wireless Symposium. Phoenix, AZ, USA, 2011 : 182 - 185. 被引量:1
  • 7Liu Peng, Li Bingbing, Ln Zhaoyang, et al. An OFDM band- width estimation scheme for spectrum monitoring [ C ]//Pro- ceedings International Conference on Wireless Communica- tions, Networking, and Mobile Computing. Wuhan : IEEE, 2005,1:248 - 251. 被引量:1
  • 8丁美玉,阔永红,高新波.数字信号处--时域离散随机信号处理[M].西安:西安电子科技大学出版社,2002:152-160. 被引量:1
  • 9Xi Jianhui, Han Wenlan. Application of high-order cumu- lant in the phase-space reconstruction of multivariate chaotic series[ C]. Proceeding of 2010 International Conference on Intelligent Control and Information Processing. Dalian: IEEE,2010:49 - 53. 被引量:1
  • 10Edfors O, Sandell M, Beek J, et al. OFDM channel estima- tion by singular value decomposition [ J ]. IEEE Trans on Comm, 1998,46 (7) : 931 - 939. 被引量:1

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