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.