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

Authors

  • Qingfeng Jing Nanjing University of Aeronautics and Astronautics, China
  • Guan Jinxin Nanjing University of Aeronautics and Astronautics, China

DOI:

https://doi.org/10.3103/S073527271512002X

Keywords:

LMS, MIMO, dual-orthogonal polarized antenna, DPA, channel model, Markov chain

Abstract

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 wideband LMS model 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.

References

LIOLIS, K.P.; GOMEZ-VILARDEBO, J.; CASINI, E.; PEREZ-NEIRA, A.I. Statistical modeling of dual-polarized MIMO land mobile satellite channels. IEEE Trans. Commun., Nov. 2010, v.58, n.11, p.3077-3083, DOI: http://dx.doi.org/10.1109/TCOMM.2010.091710.090507.

GESBERT, D.; BOLCSKEI, H.; GORE, D.A.; PAULRAJ, A.J. Outdoor MIMO wireless channels: models and performance prediction. IEEE Trans. Commun., Dec. 2002, v.50, n.12, p.1926-1934, DOI: http://dx.doi.org/10.1109/TCOMM.2002.806555.

ARAPOGLOU, P.; LIOLIS, K.; BERTINELLI, M.; PANAGOPOULOS, A.; COTTIS, P.; DE GAUDENZI, R. MIMO over satellite: A review. IEEE Commun. Surveys Tutorials, 2011, v.13, n.1, p.27-51, DOI: http://dx.doi.org/10.1109/SURV.2011.033110.00072.

WALLACE, J.W.; JENSEN, M.A. Mutual coupling in MIMO wireless systems: a rigorous network theory analysis. IEEE Trans. Wireless Commun., Jul. 2004, v.3, n.4, p.1317-1325, DOI: http://dx.doi.org/10.1109/TWC.2004.830854.

EICEG, V.; SAMPATH, H.; CATREUX-ERCEG, S. Dual-polarization versus single-polarization MIMO channel measurement results and modeling. IEEE Trans. Wireless Commun., Jan. 2006, v.5, n.1, p.28-33, DOI: http://dx.doi.org/10.1109/TWC.2006.1576522.

OESTGES, C.; CLERCKX, B.; GUILLAUD, M.; DEBBAH, M. Dual-polarized wireless communications: from propagation models to system performance evaluation. IEEE Trans. Wireless Commun., Oct. 2008, v.7, n.10, p.4019-4031, DOI: http://dx.doi.org/10.1109/T-WC.2008.070540.

VANELLI-CORALLI, A.; CORAZZA, G.E.; KARAGIANNIDIS, G.K.; MATHIOPOULOS, P.T.; MICHALOPOULOS, D.S.; MOSQUERA, C.; PAPAHARALABOS, S.; SCALISE, S. Satellite communications: research trends and open issues. Proc. of Int. Workshop on Satellite and Space Communications, IWSSC’07, 13-14 Sept. 2007, Salzburg. IEEE, 2007, p.71-75, DOI: http://dx.doi.org/10.1109/IWSSC.2007.4409393.

CHENG, XIANG; WANG, CHENG-XIANG; WANG, HAIMING; GAO, XIQI; YOU, XIAO-HU; YUAN, DONGFENG; AI, BO; HUO, QIANG; SONG, LING-YANG; JIAO, BING-LI. Cooperative MIMO channel modeling and multi-link spatial correlation properties. IEEE J. Sel. Areas Commun., Feb. 2012, v.30, n.2, p.388-396, DOI: http://dx.doi.org/10.1109/JSAC.2012.120218.

FRIGYES, ISTVAN; HORVATH, PETER. Polarization-time coding in satellite links. Satellite Space Commun. Newsletter, May 2005, v.15, n.2, p.6-8.

ARAPOGLOU, P.; BURZIGOTTI, P.; BERTINELLI, M.; BOLEA ALAMANAC, A.; DE GAUDENZI, R. To MIMO or not to MIMO in mobile satellite broadcasting systems. IEEE Trans. Wireless Commun., Sept. 2011, v.10, n.9, p.2807-2811, DOI: http://dx.doi.org/10.1109/TWC.2011.071411.101599.

SELLATHURAI, M.; GUINAND, P.; LODGE, J. Space-time coding in mobile satellite communications using dual-polarized channels. IEEE Trans. Vehicular Technol., Jan. 2006, v.55, n.1, p.188-199, DOI: http://dx.doi.org/10.1109/TVT.2005.861195.

KING, P.R.; STAVROU, S. Low elevation wideband land mobile satellite MIMO channel characteristics. IEEE Trans. Wireless Commun., Jul. 2007, v.6, n.7, p.2712-2720, DOI: http://dx.doi.org/10.1109/TWC.2007.051018.

CHEFFENA, M.; FONTAN, F.P.; LACOSTE, F.; CORBEL, E.; MAMETSA, H. Land mobile satellite dual polarized MIMO channel along roadside trees: Modeling and performance evaluation. Proc. of 5th Eur. Conf. on Antennas and Propagation, EUCAP, 11-15 Apr. 2011, Rome. IEEE, 2011, p.3553-3558, http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5782335.

FONTAN, F.P.; VAZQUEZ-CASTRO, M.; CABADO, C.E.; GARCIA, J.P.; KUBISTA, E. Statistical modeling of the LMS channel. IEEE Trans. Vehicular Technol., Nov. 2001, v.50, n.6, p.1549-1567, DOI: http://dx.doi.org/10.1109/25.966585.

LOO, C. A statistical model for a land mobile satellite link. IEEE Trans. Vehicular Technol., Aug. 1985, v.34, n.3, p.122-127, DOI: http://dx.doi.org/10.1109/T-VT.1985.24048.

MOLISCH, A.F. Wireless Communications, 2nd ed. New York: Wiley, 2011.

GUDMUNDSON, M. Correlation model for shadow fading in mobile radio systems. Electron. Lett., Nov. 1991, v.27, n.23, p.2145-2146, DOI: http://dx.doi.org/10.1049/el:19911328.

PRIETO-CERDEIRA, R.; PEREZ-FONTAN, F.; BURZIGOTTI, P.; BOLEA-ALAMANAC, A.; SANCHEZ-LAGO, I. Versatile two-state land mobile satellite channel model with first application to DVB-SH analysis. Int. J. Satellite Commun. Networking, Dec. 2010, v.28, n.5-6, p.291-315, DOI: http://dx.doi.org/10.1002/sat.964.

Published

2015-12-26

Issue

Section

Research Articles