Algorithm for modeling dual-polarized MIMO channel in land mobile satellite communications

The channel factors during signal propagation from the satellite to moving user terminal (UT) is comprehensively analyzed. Then an algorithm is presented to model dual-polarized MIMO LMS channel, which investigates almost all channel factors including temporal and polarization correlation, line-of-sight (LOS) shadowing, multipath effect, cross-polar discrimination (XPD) of antennas, cross-polar coupling (XPC) of environments, elevation angle, user environments and Doppler frequency shift. An algorithm table embedded with outer-loop iterations and inner-loop iterations is given to generate the dual-polarized MIMO LMS channel. Simulation results show that compared with single-input single-output (SISO) LMS system, MIMO LMS system can respectively achieve the improvement of 66%, 60% and 54% in terms of 1% outage capacity at signal-to-noise ratio (SNR) of 20dB in open, suburban and urban environment.

[1]  Athanasios G. Kanatas,et al.  Radio Propagation Channel Measurements for Multi-Antenna Satellite Communication Systems: A Survey , 2014, IEEE Antennas and Propagation Magazine.

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

[3]  Pavel Pechac,et al.  Modeling of First-Order Statistics of the MIMO Dual Polarized Channel at 2 GHz for Land Mobile Satellite Systems Under Tree Shadowing , 2014, IEEE Transactions on Antennas and Propagation.

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

[5]  Athanasios G. Kanatas,et al.  Performance evaluation of MIMO satellite multiple-relay multi-user fading channels , 2015, 2015 9th European Conference on Antennas and Propagation (EuCAP).

[6]  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..

[7]  Riccardo De Gaudenzi,et al.  MIMO for Mobile Satellite Digital Broadcasting: From Theory to Practice , 2016, IEEE Transactions on Vehicular Technology.

[8]  P. R. King.  Modelling and Measurement of the Land Mobile Satellite MIMO Radio Propagation Channel. , 2007 .

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

[10]  T. W. C. Brown,et al.  Empirical-Stochastic LMS-MIMO Channel Model Implementation and Validation , 2012, IEEE Transactions on Antennas and Propagation.

[11]  Athanasios G. Kanatas,et al.  Dual-Polarized Narrowband MIMO LMS Channel Measurements in Urban Environments , 2017, IEEE Transactions on Antennas and Propagation.