Statistical Modeling of Dual-Polarized MIMO Land Mobile Satellite Channels

• Published in: IEEE transactions on communications Vol. 58; no. 11; pp. 3077 - 3083
• Main Authors: Liolis, K P, Gómez-Vilardebó, J, Casini, E, Pérez-Neira, A I
• Format: Journal Article Publication
• Language: English
• Published: New York, NY IEEE 01.11.2010; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Channels; Communication satellites; Computer simulation; Consolidation; Correlation; Covariance matrix; Design engineering; Detection, estimation, filtering, equalization, prediction; Enginyeria de la telecomunicació; Equipments and installations; Exact sciences and technology; Extrapolation; Fading; Fading channels; Information, signal and communications theory; land mobile satellite (LMS); Least squares approximation; MIMO; MIMO systems; Mobile radiocommunication systems; multiple-input multiple-output (MIMO); Performance assessment; Polarization (Electricity); polarization diversity; Radio; Radiocommunications; Satellite telecommunications. Space telecommunications; Satellites; Senyal, Teoria del (Telecomunicació); Signal and communications theory; Signal theory (Telecommunication); Signal, noise; Symmetric matrices; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Transmitters and transmission; Àrees temàtiques de la UPC; Fading channels; Performance evaluation; Mobile radiocommunication; MIMO system; Polarization diversity; Parameter estimation; Wireless telecommunication; Time series; Satellite telecommunication; multiple-input multiple-output (MIMO); Modeling; Land mobile radio; Simulation; Channel estimation; Statistical model; Telecommunication channels; land mobile satellite (LMS); Least mean squares methods
• ISSN: 0090-6778; 1558-0857; 1558-0857
• DOI: 10.1109/TCOMM.2010.091710.090507

This Letter addresses the statistical modeling of dual-polarized MIMO-LMS fading channels. In the absence of accurate experimental results, a statistical model for the characterization of MIMO-LMS channels is proposed based on consolidation of available experimental results for SISO-LMS and MIMO wireless channels as well as on their extrapolation to the MIMO-LMS case of interest. Moreover, a step-by-step methodology for the simulation and time-series generation of the proposed MIMO-LMS channel model is provided, which is useful for the design and performance assessment of MIMO-LMS transmission systems. The proposed model incorporates the effects of all relevant critical channel aspects in a flexible and fully-parameterized way.