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一种快速高效的无线信道实现方法 被引量:1

Efficient Channel Simulator for Mobile Radio Communications
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摘要 提出了一种快速高效的基于IIR滤波器的无线信道实现方法。根据所需生成信道功率谱,IIR滤波器在频域用LMS(最小均方)算法进行优化设计,这种方法适用于任意的功率谱;通过线性内插和抽取,可实现任意带宽的时变无线信道。仿真表明在Clarke均匀散射Rayleigh信道假设下,新方法的二阶统计特性与传统无线信道生成方法如SOS(正弦波叠加)、FFT滤波以及AR滤波法等完全一致,但新方法的滤波器阶数可以做到很低,因此具有快速高效的优点。另外,提出的方法适合非均匀散射环境的信道设计,文章最后讨论了新方法在非均匀散射环境的仿真实现。 A new wireless channel simulator was proposed,using an IIR filter to filter independent white Gaussian variables. Firstly,the IIR filter was implemented based on the desired power spectral density (PSD),employing the least mean square (LMS) algorithm in frequency domain. Then the arbitrary normalized maximal Doppler frequency,which is also known as the normalized digital bandwidth of the generated channel,was achieved by linear interpolation and decimation. Under the assumption of isotropic scattering Rayleigh fading channels,simulation shows the second order statistics of the proposed method is consistent with the traditional methods,such as the sum-of-sinusoids (SOS),the FFT,and the AR,with lower order of the IIR filter. Consequently,the new simulator is both efficient and fast. Furthermore,the new method is also suitable for non-isotropic scattering environments which are more practical than the isotropic scattering assumption,and the application is also treated under those cases.
出处 《系统仿真学报》 CAS CSCD 北大核心 2010年第4期825-828,共4页 Journal of System Simulation
基金 国家自然科学基金(60502034,60625103)
关键词 无线信道模型 功率谱 最小均方 插值与抽取 wireless channel model PDS LMS interpolation and decimation
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参考文献14

  • 1Clarke R H. A statistical theory of mobile-radio reception [J]. Journal of Bell Syst. Tech (S0005-8580), 1968, 47(6): 957-1000.
  • 2Jakes W C. Microwave Mobile Communications [M]. New York, USA: Wiley, 1974.
  • 3Zheng Y R, Xiao C. Improved models for generation of multiple uncorrelated Rayleigh fading waveforms [J]. IEEE Comrnun Lett (S1089-7798), 2002, 6(6): 256-258.
  • 4Xiao C, Zheng Y R, Beaulieu N C. Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels [J]. IEEE Trans Wireless Commu (S1536-1276), 2006, 5(12): 3667-3679.
  • 5Young D J, Beaulieu N C. The generation of correlated Rayleigh random variates by inverse discrete Fourier transforms [J]. IEEE Trans. Commun (S0090-6778), 2000, 48(7): 1114-1127.
  • 6Bassour K E, Beaulieu N C. Autoregressive modelling for fading channel simulation [J]. IEEE Trans Wireless Commun (S1536-1276), 2005, 4(4): 1650-1662.
  • 7Komnnakis C. A fast and accurate Rayleigh fading simulator [C]// IEEE GLOBECOM'03. USA: IEEE, 2003, 6:3306-3310.
  • 8罗志年,张文军,管云峰.不相关Rayleigh衰落信道仿真模型[J].系统仿真学报,2009,21(13):3872-3875. 被引量:5
  • 9Telatar E. Capacity of multi-antenna Gaussian channels [J]. European Trans Telecomrn (S 1124-318X), 1999, 10(6): 585-596.
  • 10Kermoal J P, et al. A stochastic MIMO radio channel model with experimental validation [J]. IEEE J Select Areas Commun (S0733-8716), 2002, 20(6): 1211-1226.

二级参考文献13

  • 1代光发,陈少平.快变衰落信道的Matlab仿真及其应用[J].系统仿真学报,2005,17(1):214-216. 被引量:12
  • 2Jakes W C. Microwave Mobile Communications [M]. New York, USA: Wiley, 1974.
  • 3Patzold M. Mobile Fading Channels [M]. Chichester, USA: John Wiley & Sons, 2002.
  • 4Clarke R H, A statistical theory of mobile-radio reception [J]. Journal of Bell Syst. Tech. 1968, 47(6): 957-1000.
  • 5Pop M F, Beaulieu N C. Limitations of sum-of-sinusoids fading channel simulators [J]. IEEE Trans. Commun. (S0090-6778), 2001, 49(4): 699-708.
  • 6Zheng Y R, Xiao C. Improved models for generation of multiple uncorrelated Rayleigh fading waveforms [J]. IEEE Commun. Lett. (S1089-7798), 2002, 6(6): 256-258.
  • 7Zheng Y R, Xiao C. Simulation models with correct statistical properties for Rayleigh fading channels [J]. IEEE Trans. Commun. (S0090-6778), 2003, 51 (6): 920-928.
  • 8Xiao C, Zheng Y R, Beaulieu N C. Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels [J]. IEEE Trans. Wireless Commu. (S1536-1276), 2006, 5(12): 3667-3679.
  • 9Hoeher E A statistical discrete-time model for the WSSUS multipath channel [J]. IEEE Trans. Veh. Tech. (S0018-9545), 1992, 41(4): 461-468.
  • 10Young D J, Beaulieu N C. The generation of correlated Rayleigh random variates by inverse discrete Fourier transforms [J]. IEEE Trans. Commun (S0090-6778), 2000, 48(7): 1114-1127.

共引文献4

同被引文献10

  • 1MatthiasPatzold.移动衰落信道[M].陈伟,译.北京:电子工业出版社,2009:210-211.
  • 2Alimohammad A, Cockbum B E Modeling and Hardware Implementation Aspects of Fading Channel Simulators [J]. IEEE Transactions on Vehicular Technology (S0018-9545), 2008, 57(4): 2055-2069.
  • 3Fard S F, Alimohammad A, Cockburn B F. An FPGA-Based Simulator for High Path Count Rayleigh and Rician Fading [J]. IEEE Transactions on Vehicular Technology (S0018-9545), 2010, 59(6): 2725-2734.
  • 4Dent P, Bottomley G E, Croft T. Jakes fading model revisited [J]. IEEE Electronics Letters (S0013-5194), 1993, 29( 13): 1162-1163.
  • 5Cheng-Xiang Wang, Patzold M, Dongfeng Yuan. Accurate and efficiedt simulation of multiple uncorrelated Rayleigh fading waveforms [J]. IEEE Transactions on Wireless Communications. (S1536-1276), 2007, 6(3): 833-839.
  • 6Yu Gan, Quan Xu. An Improved SoS Method for Generating Multiple Uncorrelated Rayleigh Fading Waveforms [J]. IEEE Communications Letters (S1089-7798), 2010, 14(7): 641-643.
  • 7Cheng-xiang Wang, Dongfeng Yuan, Hsiao-hwa Chen, Wen Xu. An improved deterministic SoS channel simulator for multiple uncorrelated Rayleigh fading channels [J]. IEEE Transactions on Wireless Communications (S1536-1276), 2008, 7(9): 3307-3311.
  • 8Zheng Y R, Xiao C S. Improved models for the generation of multiple uncorrelated Rayleigh fading waveforms [J]. IEEE Communications Letters (S1089-7798), 2002, 6(6): 256-258.
  • 9Fletcher R, Powell M J D. A rapidly convergent descent method for minimization [J]. Computer Journal (S0010-4620), 1963, 6(2): 163-168.
  • 10罗志年,张文军,管云峰.不相关Rayleigh衰落信道仿真模型[J].系统仿真学报,2009,21(13):3872-3875. 被引量:5

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