Wideband MIMO Mobile-to-Mobile Channels: Geometry-Based Statistical Modeling With Experimental Verification

• Published in: IEEE transactions on vehicular technology Vol. 58; no. 2; pp. 517 - 534
• Main Authors: Zajic, A.G., Stuber, G.L., Pratt, T.G., Nguyen, S.T.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Channel sounding; Channels; Data mining; Detection, estimation, filtering, equalization, prediction; Empirical analysis; Equipments and installations; Exact sciences and technology; Expressways; Information theory; Information, signal and communications theory; Mathematical analysis; Mathematical models; MIMO; Mobile communication; Mobile radiocommunication systems; mobile-to-mobile (M-to-M) channels; parameter estimation; Radiocommunications; Signal and communications theory; Signal, noise; Solid modeling; Statistical analysis; Statistics; Stochastic processes; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Urban areas; Utilities; Vehicles; Wideband; wideband channel model; Mobile-to-mobile channels; parameter estimation; wide-band channel model; channel sounding; Mobile radiocommunication; MIMO system; Second order; Parameter estimation; Estimator; Wireless telecommunication; Order statistic; Data processing; Experimental study; Modeling; Channel sounding; Statistical method; Reference model; Three dimensional model; Wide band; Channel estimation; First order; Telecommunication system; Analytical method; wideband channel model; Maximum likelihood; Comparative study; mobile-to-mobile (M-to-M) channels
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2008.928001

A 3-D reference model for wideband multiple-input multiple-output (MIMO) mobile-to-mobile (M-to-M) channels is reviewed along with its corresponding first- and second-order channel statistics. To validate the reference model, an experimental MIMO M-to-M channel-sounding campaign was conducted for M-to-M vehicular communication with vehicles that travel along surface streets and expressways in a metropolitan area. To compare the first- and second-order channel statistics that were obtained from the reference model with those obtained from the empirical measurements, a new maximum-likelihood-based stochastic estimator is derived to extract the relevant model parameters from the measured data. The measured data is processed and compared with the analytical results. The close agreement between the analytically and empirically obtained channel statistics confirms the utility of the proposed reference model and the method for estimating the model parameters.