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非平稳信道衰落高效模拟方法及硬件实现 被引量:6

Efficient simulation method and hardware implement for no-stationary channel fading
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摘要 针对由于收发端的高速移动导致信道衰落呈现的非平稳特性,提出了一种基于线性调频信号叠加的非平稳信道衰落产生方法,并推导了该方法所产生信道衰落的幅值分布、电平通过率和平均衰落持续时间等统计特性理论值。在此基础上,利用Xilinx FPGA(XC7K325TFFG900-2)硬件平台设计实现了一个非平稳信道衰落模拟器,该模拟器结合串行和时分复用的思想,大大降低了硬件资源消耗,单个非平稳信道衰落模拟单元仅占用芯片约2.16%的资源。硬件实测数据表明,该模拟器输出信道衰落的各项统计特性均与理论结果吻合,可用于实验室环境下对非平稳信道衰落的实时模拟复现。 Due to high-speed movements of the transmitter and receiver, the propagation channels have shown non-stationary characteristics. Based on the sum of linear-frequency-modulation signals( So LFM),a new generation method for non-stationary channel fading is proposed. Meanwhile,important statistical properties of our channel model,i. e. time-variant probability density function( PDF),time-variant level crossing rate( LCR) and time-variant average duration of the fades( ADF),are derived and analyzed. On this basis,the proposed channel model is realized on the Xilinx FPGA( XC7 K325 TFFG900-2) hardware platform. Using serial and time division multiplexing to reduce hardware resource consumption,a single module occupies only about 2. 16% of the resources of the chip. In addition,hardware measurements of statistical properties are also consistent well with the theoretical ones,which can be used for real-time simulation of non-stationary channel fading in laboratory environment.
出处 《电子测量与仪器学报》 CSCD 北大核心 2018年第1期159-165,共7页 Journal of Electronic Measurement and Instrumentation
基金 国家重大科学仪器设备开发专项(2013YQ200607) 江苏省博士后基金(1601017C) 中央高校基本科研业务费青年科技创新基金(NS2015046,NS2016044) 江苏省物联网与控制技术重点实验室基金(NJ20160027)资助项目
关键词 非平稳信道模型 线性调频 电平通过率 平均衰落持续时间 信道模拟器 non-stationary channel model linear frequency modulation LCR ADF channel emulator
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  • 1费丹,熊磊,吴建强.基于软件无线电的无线信道仿真仪设计与实现[J].仪器仪表学报,2013,34(S1):93-98. 被引量:26
  • 2RAPPAPORT T S. Wireless Communication Principl-esandPractice(SecondEdition)[M].北京:电子工业出版社,2006:72-113.
  • 3BERTONI H L. Radio propagationfor modern wireless systems[M]. Pearson Education, 1999.
  • 4LECOURS M, CHOUINARD J Y, DELISLE G Y, et al. Statistical modeling of the received signal envelope in a mo- bileradio channel[J]. Vehicular Technology, IEEE Transactionson, 1988,37 ( 4 ) : 204-212.
  • 5LOREDO S, RODRIGUEZ-ALONSO A, TORRES R P. Indoor MIMO Channel Modeling by using Raytracing Techniques based on GO/UTD [C]. Wireless Communica-tionSystems, 2006.ISWCS'06. 3rd International Symposium on. IEEE, 2006 640-644.
  • 6MARDENI R, SOLAHUDDIN Y. Path loss model development for indoor signal loss prediction at 2.4 GHz 802. 11 n network [C]. Microwave and Millimeter Wave Technology ( ICMMT ), 2012 International Conference on. IEEE, 2012,2 : 1-4.
  • 7SOLAHUDDIN Y F, MARDENI R. Indoor empirical path loss prediction model for 2. 4 GHz 802. 11 n network [ C]. Control System, Computing and Engineering ( ICCSCE ), 2011IEEE International Conference on. IEEE, 2011 : 12-17.
  • 8D. Huang,D.Z.Zeng,T. Long.Design of A Correlated Lognormal Distributed Sequence Generator Based on Virtex-ⅣSeries FPGA. 2010 International Conference on Computer Application and System Modeling (ICCASM) . 2010
  • 9Carlos A. Gutierrez,Matthias Patzold.The Design of Sum-of-Cisoids Rayleigh Fading Channel Simulators Assuming Non-Isotropic Scattering Conditions. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS . 2010
  • 10Thomas Jost,Wei Wang,Uwe-Carsten Fiebig.Comparison of L- and C-Band Satellite-to-Indoor Broadband Wave Propagation for Navigation Applications. IEEE Transactions on Antennas and Propagation . 2011

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