期刊文献+

陆地高速移动环境下电波传播特性的建模与分析 被引量:2

Simulation and analysis of radio wave characteristics in terrestrial high-speed mobile environment
下载PDF
导出
摘要 采用有限状态的马尔克夫链得出陆地高速移动环境下电波传播路径的动态仿真模型。将模型与真实的陆地高速移动电波传播环境相结合,建立了更符合实际传播环境的电波传播仿真模型,通过该传播模型得出陆地高速移动环境下的电波传播特性。将得出的模型运用于较平坦地理环境,基站信号覆盖区域约为3km,存在视距(LOS)路径。通过仿真给出了高速列车在沿线不同位置和不同速度时的电波路径数目、各电波路径的衰减系数、延迟时间等,以及由此分析计算出的在该环境下的多普勒频谱、电平通过率等电波特性。最后,对这些仿真数据进行统计分析,证实了该传播模型的有效性。 The finite states birth and death Markov chain is used to model the wireless propagation paths in land high-speed mobile environment. A more realistic terrestrial high-speed mobile radio propagation model is set up with the parameters of the real operation surroundings and conditions. Based on this model, the characteris- tics of radio propagation can be analyzed. In this paper,one simulation under the rural high-speed 'train scenario ,where wireless coverage is provided by base station at every 3 kilometers interval and the link between the fixed base station and the moving train was typically a line-of-sight(LOS) type, is operated with the above model. Through the simulations at different velocities(300 km/h and 500 kin/h), the changing link paths and their attenuation coefficients, delay times, Doppler spectrums and cross rate can be obtained. Moreover, this model is proved to be effective according to plenty of simulated data statistics.
出处 《电波科学学报》 EI CSCD 北大核心 2012年第1期37-44,209,共9页 Chinese Journal of Radio Science
基金 国家自然基金项目(61172021) 教育部长江学者和创新团队发展计划(IRT0949) 中央高校基本科研业务费专项资金(2009JBM154和2009YJS012)资助
关键词 陆地高速 有限状态马尔克夫链 电波传播特性 terrestrial high-speed birth and death process characteristics of radio propagation
  • 相关文献

参考文献7

  • 1PATZOLD M.Mobile Fading Channels[M].NewWork:John Wiley&Sons,Ltd.,2002.
  • 2GARCIA C R,LEHNER A,STRANG T,et al.Chan-nel model for train to train communication using the400MHz band[C]//VTC Spring 2008-IEEE VehicularTechnology Conference,2008:3082-3086.
  • 3WIESBECK W and KNORZER S.Characterist-ics ofthe mobile channel for high velocit-ies[C]//Interna-tional Conference on Electromagnetic in Advanced Ap-plicat-ions,2007:116-120.
  • 4NAKAMURA K,KAWASAKI K,SHINDO M.Devel-opment of methods for the calculation of radio propaga-tion characteristics in the railway environment[J].Quarterly Report of the Railway Technical ResearchInstitute,2002 43(4):182-186.
  • 5HATTORI T and ABE K.Analyses of propagationcharacteristics in future railway communication systemsusing 25GHz band radio[C]//IEEE 49th VehicularTechnology Conference,2000:2288-2292.
  • 6BERTONI H L.Radio Propagation for Modern Wire-less Systems[M].Pearson Educa-tion,Inc.,2000.
  • 7王惠生,马良德,高利民.铁路客运专线GSM-R基站覆盖的探讨[J].中国铁路,2009(7):57-60. 被引量:5

二级参考文献1

共引文献4

同被引文献29

  • 1SADJADPOUR H R,GARCIA-LUNA-ACENES J J. Capacity of distributed MIMO with finite size[C]//7th International Wireless Communications and Mobile Computing Conference,2011 : 1529-1534.
  • 2VERDE F, DARSENA D, SCAGLIONE A. Coopera- tive randomized MIMO-OFDM downlink for multicell networks : design and analysis[J]. IEEE Transactions on Signal Processing, 2010,58 (1) : 384-402.
  • 3HLAING M,MUNOZ D. Pilot designs for channel es- timation of MIMO OFDM systems with frequency- dependent 1/Q imbalances[J]. IEEE Transactions on Communications, 2010,58 (8) : 2252-2264.
  • 4HUNG K C, LIND W. Pilot-based LMMSE channel estimation for OFDM systems with power-delay profile approximation[J]. IEEE Transactions on Vehicular Technology, 2010,59 (1) : 150-159.
  • 5AIDA Z, RIDHA B. LMMSE channel estimation for block-pilot insertion in OFDM systems under time va- rying conditions [ C]//11th Mediterranean Microwave Symposium. Hammamet, September 8-10,2011: 223- 228.
  • 6SHARP M, SCAGLIONE A. useful performance met- ric for compressed channel sensing[J]. IEEE Transac- tions on signal processing,2011,59(6) :2982-2988.
  • 7ROMBERG J. Imaging via compressive sampling[J]. IEEE Signal Processing Magazine, 2008,25 (2) : 14-20.
  • 8TAUBOCK G, HLAWATSCH F, EIWEN D, et al. Compressive estimation of doubly selective channels in multicarrier systems: leakage effects and sparsity-en- hancing processing[J]. Selected Topics in Signal Pro- cessing, 2010,4(2) :255-271.
  • 9EIWEN D, TAUBOCK G, HLAWATSCH F, et al: Multichannel-compressive estimation of doubly selec- tive channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity[C]//IEEE International Conference on Acoustics Speech and Signal Process- ing, 2010,14 : 3082-3085.
  • 10BAJWA W U, SAYEED A, NOWAK R. Sparse mul- tipath channels: modeling and estimation[C]//lath IEEE Digital Signal Processing Workshop. Macro Is- land, January 4-7,2009 : 320-325.

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部