tailieunhanh - Báo cáo hóa học: "Gaussian Channel Model for Mobile Multipath Environment"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Gaussian Channel Model for Mobile Multipath Environment | EURASIP Journal on Applied Signal Processing 2004 9 1321-1329 2004 Hindawi Publishing Corporation Gaussian Channel Model for Mobile Multipath Environment D. D. N. Bevan Harlow Laboratories Nortel Networks Harlow Essex CM17 9NA UK Email ddnb@ V. T. Ermolayev Communication Systems Research Department MERA Networks Nizhny Novgorod 603126 Russia Email ermol@ A. G. Flaksman Communication Systems Research Department MERA Networks Nizhny Novgorod 603126 Russia Email flak@ I. M. Averin Communication Systems Research Department MERA Networks Nizhny Novgorod 603126 Russia Email ave@ Received 28 May 2003 Revised 5 February 2004 A model of an angle-spread source is described termed the Gaussian channel model GCM . This model is used to represent signals transmitted between a user equipment and a cellular base station. It assumes a Gaussian law of the scatterer occurrence probability depending upon the scatterer distance from the user. The probability density function of the angle of arrival AoA of the multipath components is derived for an arbitrary angle spread. The wandering of the centre of gravity of the scattering source realisation is investigated which is in turn due to the nonergodicity of the angle-scatter process. Numerical results obtained with the help of the sum-difference bearing method show the dependence of the AoA estimation accuracy on the spread-source model. Keywords and phrases scattering angle spread channel model angle-of-arrival estimation multibeam. 1. INTRODUCTION The implementation of smart antennas at macrocellular base stations BSs is expected significantly to enhance the capacity of wireless networks 1 2 . Various algorithms for adaptive array signal processing have been proposed and investigated 2 3 4 . The effectiveness of these algorithms depends on the behaviour of the fading channel and in particular on the degree of azimuthal dispersion in the channel. Therefore accurate statistical channel models are .