Estimation of the spatial correlation function and angular spectrum by using a multiantenna system
DOI:
https://doi.org/10.3103/S0735272709030029Abstract
A closed formula based on representing the angular spectrum in the Fourier basis was obtained for computing the correlation coefficients of signal fadings in elements of the multiantenna system. The method of estimating the expansion coefficients of the angular spectrum with subsequent evaluation of the spatial correlation function was proposed.
References
J. G. Proakis, Digital Communications, 4th ed. (McGraw-Hill, New York, 2001; Radio i Svyaz’, Moscow, 2000).
D. S. Shiu, G. Foschini, M. Gans, and J. Kahn, “Fading Correlation and its Effect on the Capacity of Multi–Element Antenna Systems,” IEEE Trans. Commun. 48, 502 (Mar. 2000).
D. Chiznik, F. Rashid–Farrokhi, J. Ling, and A. Lozano, “Effect of antenna separation on the capacity of BLAST in correlated channels,” IEEE Commun. Lett. 4, No. 11, 337 (2000).
Yu. N. Parshin and A. V. Ksendzov, “The impact of spatial correlation on the optimization efficiency of the spatial structure of multiantenna system under conditions of diversity reception,” in Vestnik RGRTA (RGRTU, Ryazan, 2006), No. 19, pp. 54–62.
Yu. N. Parshin and A. V. Ksendzov, “The impact of the spatial correlation of multiple channel on the optimal spatial structure of antenna system,” in Mezhvuz. sb. nauch. trudov “Methods and devices of signal processing in radio engineering systems” (RGRTA, Ryazan, 2003), No. 2, pp. 73–78.
V. Kuhn, Wireless Communications over MIMO channels. Applications to CDMA and Multiple Antenna Systems (John Wiley & Sons, New York, 2006).
E. I. Manaev, Principles of Radio Electronics. Tutorial for Colleges, 2nd rev. ed. (Radio i Svyaz’, Moscow, 1985) [in Russian].
A. V. Ksendzov, “Measurement of the angular spectrum with the help of the receiving multiantenna system,” in Proceedings of the 3rd Int. youth Science Tech. Conf. “State-of-the-art problems of radio engineering and telecommunications ‘RT-2007’,” Sevastopol, 16–21 April 2007 (Izdat. SevNTU, Sevastopol, 2007), p. 73.
V. L. Zaguskin, Numerical Solution Methods of Ill-Conditioned Problems (Izdat. Rostovskogo Universiteta, Rostov-on-Don, 1976) [in Russian].
T. W. Anderson, An Introduction to Multivariable Statistical Analysis (Wiley, New York, 1958; Izdat. FM, Moscow, 1963).
