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[180] Lopez, A. R., Performance predictions for cellular switched beam intelligent antenna systems, IEEE Communic. Magazine, vol. 34, no. 1, 1996, pp. 152 154. [181] Suard, B., A. F. Naguib, G. Xu, et al., Performance of CDMA mobile communication systems using antenna arrays, in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, Minneapolis, Minnesota, 1993, pp. 153 156. [182] Wang, Y., and J. R. Cruz, Adaptive antenna arrays for the reverse link of CDMA cellular communication systems, IEEE Lett., vol. 30, 1994, pp. 1017 1018. [183] Winters, J. H., Signal acquisition and tracking with adaptive arrays in the digital mobile radio system IS-54 with at fading, IEEE Trans. Veh. Technol., vol. 42, no. 3, 1993, pp. 377 384. [184] Winters, J. H., Optimum combining in digital mobile radio with co-channel interference, IEEE J. Select. Areas Communic., vol. SAC-2, 1984, pp. 528 539. [185] Ohgane, T., Characteristics of CMA adaptive array for selective fading compensation in digital land mobile radio communications, Electron. Communic. Japan, vol. 74, 1991, pp. 43 53. [186] Beach, M. A., P. Guemas, and A. R. Nix, Capacity and service extension for wireless networks using adaptive antennas, Electron. Letters, vol. 30, 1994, pp. 1813 1814. [187] Beach, M. A., H. Xue, R. Davies, et al., Adaptive antennas for third generation systems, in Proc. IEE Colloquium Mobile Communications Toward Year 2000, London, The United Kingdom, 1994, pp. 10/1 10/6. [188] Kawala, P., and U. H. Sheikh, Adaptive multiple-beam array for wireless communications, in Proc. IEE 8th Int. Conf. Antennas Propagation, Edinburgh, Scotland, 1993, pp. 970 974. [189] Ganz, M. W., and R. T. Compton, Jr., Protection of PSK communication systems with adaptive arrays, IEEE Trans. Aerosp. Electron. Syst., vol. AES-23, 1987, pp. 528 536. [190] Nagatsuka, M., N. Ishii, R. Kohno, et al., Adaptive array antenna based on spatial spectrum estimation using maximum entropy method, IEICE Trans. Communic., vol. E77-B, 1994, pp. 624 633. [191] Liberti, J. C., and T. S. Rappaport, Analytical results for reverse channel performance improvements in CDMA cellular communication systems employing adaptive antennas, In Proc. Globcom 93, Houston, Texas, 1993, pp. 42 47. [192] Yim, C., R. Kohno, and H. Imai, Adaptive array antenna based on estimation of arrival angles using DFT on spatial domain, Electron. Communic. Japan, vol. 76, 1993, pp. 96 108. [193] Harbin, S. A., and B. K. Rainer, Low-power wireless mobile communication system, in Proc. IEEE 44th Vehicular Technology Conf., vol. 1, Stockholm, Sweden, 1994, pp. 673 676. [194] Wirth, P. E., Teletraf c implications of database architectures in mobile and personal communications, IEEE Communic. Magazine, vol. 33, no. 1, 1995, pp. 54 59. [195] Jabbari, B., G. Colombo, A. Nakajima, et al., Network issues for wireless communications, IEEE Communic. Magazine, vol. 33, no. 1, 1995, pp. 88 98. [196] Ivancic, W. D., M. J. Shalkhauser, and J. A. Quintana, A network architecture for a geostationary communication satellite, IEEE Communic. Magazine, vol. 32, no. 1, 1994, pp. 72 84.
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CHAPTER TEN
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Prediction of Signal Distribution in Space, Time and Frequency Domains in Radio Channels for Adaptive Antenna Applications
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Multipath phenomena limit performance of wireless communication systems by introducing fast fading due to frequency spread in narrowband systems and by causing intersymbol interference in wideband systems due to time delay spread. Finally, a strong multiplicative noise occurs in all kinds of wireless links becoming a great problem in land communications [1 30]. As was mentioned in 9, to mitigate the effects of multiplicative noise and the noise due to interference between users in multiple access communication, the directional, sectorial, and adaptive antennas (array or multibeam) are used in one or both ends of the channel, which was de ned in 9 as a MIMO channel. Using the adaptive antenna together with the corresponding processing algorithms operating in the space, time, and frequency domains (see details in 9), allows the channel to radiate the desired energy in the desired direction or to cancel the undesirable energy from the undesirable direction (see Fig. 9.21). The same method is used to minimize effect of multipath fading. However, the operational ability of all kinds of antennas, and mostly of adaptive antennas strongly depends on the degree of accuracy to predict propagation characteristics of the actual channel. These types of propagation models, which are a priori, used to predict the angular, time, and frequency distribution of the multipath components of the total signal arriving at the receiver, are the main sources of the
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Radio Propagation and Adaptive Antennas for Wireless Communication Links: Terrestrial, Atmospheric and Ionospheric, by Nathan Blaunstein and Christos Christodoulou Copyright # 2007 John Wiley & Sons, Inc.
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