Study on the dual-orthogonal polarized MIMO wideband satellite mobile channel based on a 4-state LMS model

This paper focused on establishing a MIMO wideband land mobile satellite (LMS) channel statistics model. The particularity of this channel modeling was its wideband characteristics and the DPAs structure. Based on the Loo and Fontan model, a 4-state wideband LMS model was analyzed by combination of a Markov chain and properties of the wideband channel including its multipath excess delay and temporal-correlation performance. The paper also studied the effects of DPAs on channel modeling including the Cross Polarization Discrimination (XPD) and Cross Polarization Coupling (XPC). Through detailed analysis of the 4-state widebandLMSmodel and the effects of DPAs on channel modeling above, a typical dual-orthogonal polarized MIMO wideband satellite mobile channel model could be built. According to the modeling steps, channel time-series can be generated to assist further analysis of the system performance and evaluation of new technologies.

[1]  Michael A. Jensen,et al.  Mutual coupling in MIMO wireless systems: a rigorous network theory analysis , 2004, IEEE Transactions on Wireless Communications.

[2]  Ana Bolea Alamañac,et al.  Versatile two‐state land mobile satellite channel model with first application to DVB‐SH analysis , 2010, Int. J. Satell. Commun. Netw..

[3]  Peter R. King,et al.  Low Elevation Wideband Land Mobile Satellite MIMO Channel Characteristics , 2007, IEEE Transactions on Wireless Communications.

[4]  Helmut Bölcskei,et al.  Outdoor MIMO wireless channels: models and performance prediction , 2002, IEEE Trans. Commun..

[5]  F. Fontan,et al.  Land Mobile Satellite Dual Polarized MIMO Channel Along Roadside Trees: Modeling and Performance Evaluation , 2011, IEEE Transactions on Antennas and Propagation.

[6]  G.E. Corazza,et al.  Satellite Communications: Research Trends and Open Issues , 2007, 2007 International Workshop on Satellite and Space Communications.

[7]  Riccardo De Gaudenzi,et al.  To MIMO or Not To MIMO in Mobile Satellite Broadcasting Systems , 2011, IEEE Transactions on Wireless Communications.

[8]  Jesús Gómez-Vilardebó,et al.  Statistical Modeling of Dual-Polarized MIMO Land Mobile Satellite Channels , 2010, IEEE Transactions on Communications.

[9]  Maria Angeles Vázquez-Castro,et al.  Statistical modeling of the LMS channel , 2001, IEEE Trans. Veh. Technol..

[10]  Riccardo De Gaudenzi,et al.  MIMO over Satellite: A Review , 2011, IEEE Communications Surveys & Tutorials.

[11]  Xiaohu You,et al.  Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties , 2012, IEEE Journal on Selected Areas in Communications.

[12]  M. Gudmundson.  Correlation Model for Shadow Fading in Mobile Radio Systems , 1991 .

[13]  Chun Loo,et al.  A statistical model for a land mobile satellite link , 1985, IEEE Transactions on Vehicular Technology.

[14]  Claude Oestges,et al.  Dual-polarized wireless communications: from propagation models to system performance evaluation , 2008, IEEE Transactions on Wireless Communications.

[15]  Andreas F. Molisch,et al.  Wireless Communications , 2005 .

[16]  Mathini Sellathurai,et al.  Space-time coding in mobile Satellite communications using dual-polarized channels , 2006, IEEE Transactions on Vehicular Technology.

[17]  Vinko Erceg,et al.  Dual-polarization versus single-polarization MIMO channel measurement results and modeling , 2006, IEEE Transactions on Wireless Communications.