时间演进非平稳莱斯衰落信道建模及产生方法
收稿日期: 2016-04-05
修回日期: 2016-11-03
网络出版日期: 2017-01-30
基金资助
中央高校基本科研业务费青年科技创新基金（No.NS2015046，No.NS2016044）；国家自然科学基金（No.61571225）；江苏省普通高校研究生科研创新计划项目基金（No.SJZZ15_0040）资助
Modeling and Generation of Non-stationary Rice Fading Channel with Time Evolution
Received date: 2016-04-05
Revised date: 2016-11-03
Online published: 2017-01-30
刘星麟, 朱秋明, 陈应兵, 陈小敏, 李浩 . 时间演进非平稳莱斯衰落信道建模及产生方法[J]. 应用科学学报, 2017 , 35(1) : 71 -80 . DOI: 10.3969/j.issn.0255-8297.2017.01.008
When the transmitter or receiver moves fast, wireless radio channel for mobile communication system is non-stationary.This paper establishes a non-stationary Rice fading channel model with time evolution for the dynamic propagation link between mobile and base stations.A generation method is proposed for non-stationary fading channels based on the sum-of-linear-frequency-modulation (SoLFM) signals, and an algorithm for parameter updating designed.Experimental results show that the proposed method can ensure smooth handoff of fading channel states and continuity of fading amplitude and phase.It can also reproduce non-stationarity of a fading channel, and ensure the channel model's time-variant envelope distribution and time-variant Doppler power spectrum agree with the desired values.The model and its generation method can be applied to evaluate performance and validate a wireless mobile system in a time-variant propagation environment.
[1] Series M. ITU-R M.2135-1 guidelines for evaluation of radio interface technologies for IMTadvanced[S]. Switzerland:Report ITU, 2009.
[2] 3GPP TS36.101 V10.2.13rd generation partnership project, technical specifcation group radio access network, evolved universal terrestrial radio access (E-UTRA); user equipment (UE) radio transmission and reception(release 10)[S]. 3GPP TS:2011.
[3] Wang C X, Cheng X, Laurenson D I. Vehicle-to-vehicle channel modeling and measurements:recent advances and future challenges[J]. IEEE Communications Magazine, 2009, 47(11):96- 103.
[4] Ghazal A, Wang C X, Ai B, Yuan D F, Haas H. A nonstationary wideband MIMO channel model for high-mobility intelligent transportation systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(2):885-897.
[5] Wu S, Wang C X, Haas H, Aggoune E M, Alwakeel M M, Ai B. A non-stationary wideband channel model for massive MIMO communication systems[J]. IEEE Transactions on Wireless Communications, 2015, 14(3):1434-1446.
[6] Chen Z C, Wang Q, Wu D O, Fan P Y. Two-dimensional evolutional spectrum approach to non-stationary fading channel modeling[J]. IEEE Transactions on Vehicular Technology, 2015, 65(3):1083-1097.
[7] Jakes W C, Cox D C. Microwave mobile communications[M]. Piscataway NJ:Wiley-IEEE Press, 1994.
[8] Pop M F, Beaulieu N C. Limitations of sum-of-sinusoids fading channel simulators[J]. IEEE Transactions on Communications, 2001, 49(4):699-708.
[9] Wang C X, Pätzold M, Yuan D F. Accurate and efcient simulation of multiple uncorrelated Rayleigh fading waveforms[J]. IEEE Transactions on Communications, 2007, 6(3):833-839.
[10] Pätzold M, Hogstad B O, Kim D. A new design concept for high-performance fading channel simulators using set partitioning[J]. Wireless Personal Communications, 2007, 40(3):267-279.
[11] Wang C X, Yuan D F, Chen H H, Xu W. An improved deterministic SoS channel simulator for multiple uncorrelated Rayleigh fading channels[J]. IEEE Transactions on Wireless Communications, 2008, 7(9):3307-3311.
[12] Pätzold M, Wang C X, Hogstad B O. Two new sum-of-sinusoids-based methods for the efcient generation of multiple uncorrelated Rayleigh fading waveforms[J]. IEEE Transactions on Wireless Communications, 2009, 8(6):3122-3131.
[13] Pätzold M, Killat U, Li Y, Laue F. Modeling, analysis, and simulation of nonfrequencyselective mobile radio channels with asymmetrical doppler power spectral density shapes[J]. IEEE Transactions on Vehicular Technology, 1997, 46(2):494-507.
[14] Pätzold M, Hogstad B O, Youssef N. Modeling, analysis, and simulation of MIMO mobileto-mobile fading channels[J]. IEEE Transactions on Wireless Communications, 2008, 7(2):510- 520.
[15] Pätzold M. Mobile radio channels[M]. 2nd ed. John Wiley & Sons, 2011.
[16] Gutierrez C A, Pätzold M, Sandoval A, Delgado M C. An ergodic sum-of-cisoids simulator for multiple uncorrelated Rayleigh fading channels under generalized scattering conditions[J]. IEEE Transactions on Vehicular Technology, 2012, 61(5):2375-2382.
[17] Stoica P, Moses R L. Spectral analysis of signals[M]. New Jersey:Prentice Hall, 2005.
[18] Primak S, Kontorovitch V, Lyandres V. Stochastic methods and their applications to communications:stochastic differential equations approach[M]. America:John Wiley & Sons, 2004.
[19] Papoulis A, Pillai S U. Probability, random variables, and stochastic processes[M]. 4th ed. America:Tata McGraw-Hill Education, 2002.
[20] Gradstein I S, Ryshik I M. Table of integrals, series, and products[M]. 7th ed. America:Academic Press, 2014.
[21] Milton A, Irene A S. Pocketbook of mathematical functions[M]. 2nd ed. Germany:Verlag Harri Deutsch, 1984.
[22] The ITU radio communication assembly. ITU-R P.526-11 propagation by diffraction[S]. Switzerland:ITU-R, 2010.
[23] Sharma H K, Sharma S, Pandey K K. Survey of propagation model in wireless network[J]. International Journal of Computer Science Issues, 2011, 8(3):468-472.
[24] Zhu Q M, Liu X L, Ning L, Chen X M. An improved sum-of-sinusoids channel simulator based on Brownian motion[C]//International Symposium on Antennas and Propagation, Kaohsiung, Taiwan, 2014:407-408.
/
| 〈 |
|
〉 |
