全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

An Improved Characterization of Small Scale Fading Based on 2D Measurements and Modeling of a Moving Receiver in an Indoor Environment

DOI: 10.4236/jsip.2016.73016, PP. 160-174

Keywords: Small-Scale Fading, Gaussian, Rayleigh, Rician, TWDP, Maximum Likelihood

Full-Text   Cite this paper   Add to My Lib

Abstract:

Accurately characterizing the wireless small-scale fading channel has been a challenging task in the wireless communication era due to the surrounding environment. Therefore, this paper introduces a new technique to experimentally characterize the small-scale fading taking under consideration real environmental conditions. By conducting a two dimensional measurement while the mobile receiver is moving; a more accurate channel will be achieved. Two-dimensional measurement refers to collecting data from the receiver along the x and y direction. The two-dimensional measurement data contain far more information than a one-dimensional data collected. In order to represent the small-scale channel along with the real environmental conditions, new approaches are necessary to configure the two-dimensional system and to analyze the 2D data. The new approach this paper introduces for the characterization is that the measurements are conducted on a receiver while it is moving in a two dimensional manner, under different scenarios, Line-of-sight, Non-line-of-sight, and Two-wave-Diffuse Power. The experiment was conducted in a 7 meters long by 4 meters wide room, wherein the distance between the transmitter antenna and receiver is about 3 meters. Those scenarios represent different real-time conditions where obstacles differ from one scenario to another. For example, the line of sight scenario assumes there a clear line of sight between transmitter and receiver, Non line of sight assumes many obstacles between the transmitter and receiver, i.e. walls, cabinets, etc. and Two Wave Diffuse Power assumes a metallic reflector surrounding the receiver. The experiment showed more accurate results when compared to the one dimensional measurement that has been done in the past where receiver is moving in one direction and also receiver being fixed where a constructive and destructive interference is not captured. The two dimensional measurement technique, i.e. capturing data while receiver moving in both x and y directions, provided essential information regarding the constructive and destructive interference patterns caused by the interaction between the receiver while moving and the obstacles surrounding the receiver.

References

[1]  Henderson, A., Durkin, C. and Durgin, G. Measurement of Small-Scale Fading Distributions in a Realistic 2.4 ghz Channel.
https://smartech.gatech.edu/bitstream/handle/1853/36951/PGTR070815AHH.pdf
[2]  Hashemi, H. (1993) The Indoor Radio Propagation Channel. Proceedings of the IEEE, 81, 943-968.
http://dx.doi.org/10.1109/5.231342
[3]  Hashemi, H., McGuire, M., Vlasschaert, T. and Tholl, D. (1994) Measurements and Modeling of Temporal Variations of the Indoor Radio Propagation Channel. IEEE Transactions on Vehicular Technology, 43, 733-737.
http://dx.doi.org/10.1109/25.312774
[4]  Kapetanovic, A., Mawari, R. and Zohdy, M.A. (2016) Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data. Journal of Signal and Information Processing, 7, 61.
http://dx.doi.org/10.4236/jsip.2016.72008
[5]  Frolik, J. (2007) A Case for Considering Hyper-Rayleigh Fading Channels. IEEE Transactions on Wireless Communications, 6, 1235-1239.
http://dx.doi.org/10.1109/TWC.2007.348319
[6]  Hasimbegovic, E. and Kocan, E. (2014) Experimental Results for Statistical Properties of Signal Envelope in Indoor Fading Channel at 2.4 ghz. Telecommunications Forum Telfor (TELFOR), 230-233.
[7]  Vinogradov, E., Joseph, W. and Oestges, C. (2014) Modeling and Simulation of Fast Fading Channels in Indoor Peer-to-Peer Scenarios. 8th European Conference on Antennas and Propagation (EuCAP), 433-434.
http://dx.doi.org/10.1109/eucap.2014.6901784
[8]  De Coster, I., Van Lil, E., Van de Capelle, A. and Perez-Fontan, F. (1999) Indoor Penetration and Interference Studies. IEEE VTS 50th Vehicular Technology Conference, 4, 2303-2307.
http://dx.doi.org/10.1109/vetecf.1999.797349
[9]  Mao, Y., Zhao, Z. and Jia, X. (2011) Understanding the Indoor Interference between IEEE 802.15. 4 and IEEE 802.11 b/g via Measurements. IEEE International Conference on Wireless Communications and Signal Processing (WCSP), 1-5.
[10]  Wong, A.H., Neve, M.J. and Sowerby, K.W. (2005) Performance Analysis for Indoor Wireless Systems Employing Directional Antennas in the Presence of External Interference. IEEE Antennas and Propagation Society International Symposium, 1, 799-802.
http://dx.doi.org/10.1109/aps.2005.1551444
[11]  Saberali, S. and Beaulieu, N. (2013) New Expressions for TWDP Fading Statistics. IEEE Wireless Communications Letters, 2, 643-646.
http://dx.doi.org/10.1109/WCL.2013.090313.130541
[12]  Durgin, G., Rappaport, T. and de Wolf, D.A. (2002) New Analytical Models and Probability Density Functions for Fading in Wireless Communications. IEEE Transactions on Communications, 50, 1005-1015.
http://dx.doi.org/10.1109/TCOMM.2002.1010620
[13]  Sijbers, J., Dekker, A., Dyck, D. and Raman, E. (1998) Estimation of Signal and Noise from Rician Distributed Data. IEEE Antennas and Propagation Society International Symposium, 140-142.
[14]  Dubois, A. (2004) Effects of Phase Change on Reflection in Phase-Measuring Interference Microscopy. Applied Optics, 43, 1503-1507.
http://dx.doi.org/10.1364/AO.43.001503

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133