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基于AR模型的平坦衰落信道仿真 被引量:3

Autoregressive Modeling for Flat Fading Channel Simulation
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摘要 无线信道大多处于复杂的传播环境中,研究复杂环境下的信道仿真是进一步研究空时信号处理技术的基础。本文实现了复杂传播环境下平坦衰落信道的AR模型仿真。在研究接收信号(含直射和方向性散射)复包络二阶统计特性的基础上,采用AR模型对信道进行仿真。仿真结果表明:基于AR模型的平坦衰落信道的仿真结果与理论曲线匹配度高,而且AR模型求解简便,适用于复杂环境下的信道。 The research of fading channel simulation in complex communication environment is of vital importance to the study of space-time signal processing technologies, in this paper, an autoregressive (AR) model is presented for the simulation of flat fading channel in complex communication environments. It explores the second order statistics of fading envelopes influenced by nonisotropic scattering environments with light-of-sight (LOS), and uses an AR model for channel simulation. The simulation results show that it is a highly accurate approach with comparatively small computing amount. Besides, the general applicability of the method is demonstrated by examples involving the accurate synthesis of fading channel models in complex communication environments.
作者 童菲 周又玲
出处 《华东理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2007年第1期124-127,148,共5页 Journal of East China University of Science and Technology
关键词 AR模型 各向异性 信道仿真 二阶统计特性 AR model nonisotropic channel simulation, second order statistics
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参考文献9

  • 1Clarke R H. A statistical theory of mobile-radio reception[J]. Bell Syst Tech J, 1968, 47(6): 957-1000.
  • 2Dent P, Bottomley G E, Croft T E. Jakes fading model revisited [J]. Electronics Letters, 1993, 19(13): 1162-1163.
  • 3Young D J, Beaulieu N C. The generation of correlated rayleigh random variates by inverse fourier transform [J]. IEEE Trans Commun, 2000, 48(7): 1114-1127.
  • 4Lee W C Y. Finding the approximate angular probability density function of wave arrival by using a directional antenna [J].IEEE Trans Antennas Propagat, 1973, 21: 328-334.
  • 5Abdi A, Barger J, Kaveh M. A parametric model for the distribution of the angle of arrival and the associated correlation function and power spectrum at the mobile station [J]. IEEE Trans Veh Technol, 2002, 51(1): 425-434.
  • 6Gradshteyn I S, Ryzhik I M. Table of Integrals, Series, and Products [M]. San Diego, CA: Academic, 1994. 356-358.
  • 7Anim-Appiah K. Complex envelope correlations for nonisotropic scattering [J]. Electron Lett, 1998, 34: 918-919.
  • 8Kay S M. Modern Spectral Estimation: Theory and Application [M]. Englewood Cliffs, NJ: Prentice-Hall, 1988. 178-182.
  • 9Stuber G L. Principles of Mobile Communications [M]. Boston, MA: Kluwer, 1996. 56-59.

同被引文献18

  • 1刘真,杨大成.瑞利衰落信道有限状态Markov模型的研究[J].北京邮电大学学报,2005,28(5):85-88. 被引量:5
  • 2王明娟,朱诗兵.基于System view对瑞利信道的仿真和分析[J].计算机仿真,2005,22(11):145-147. 被引量:5
  • 3王欣,酆广增.多径非相关瑞利信道生成的改进[J].通信学报,2007,28(5):122-125. 被引量:11
  • 4Patel C S,Stuber G L,Pratt T G,et al.Comparative Analysis of Statistical Models for the Simulation of Rayleigh Faded Cellular Channels[J].Communications,IEEE Transactions on,2005,53(6):1017-1026.
  • 5Zheng Y R,Xiao C.Simulation Models with Correct Statistical Characteristics for Rayleigh Fading Channels[J].IEEE Trans Commun,2003,51(6):920-928.
  • 6Kareem E. Baddour, Norman C. Beaulieu. Autoregressive Models for Fading Channel Simulation [A].IEEE GLOBECOM'01[C]. 2001,1187-1192.
  • 7ZHENG, Y., R., XIAO, C. Improved models for the generation of multiple uncorrelated Rayleigh fading waveforms. IEEE Communications Letters,2002,vol.6,no.6,p.256-258.
  • 8杨大成.移动传播环境[M].北京:机械工业出版社,2003..
  • 9Hirofumi Suzuki.A statistical model for urban radio propagation[J].IEEE Transactions on Communications,1977,25(7):673-680.
  • 10Ji Zhong,Li Bin-Hong,Wang Hao-Xing,et al.Efficient ray-tracing methods for propagation prediction for indoor wireless communications[J].IEEE Transactions on Antennas and Propagation,2001,43 (2):41-49.

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