tailieunhanh - Báo cáo hóa học: " Multidimensional Rank Reduction Estimator for Parametric MIMO Channel Models"

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: Multidimensional Rank Reduction Estimator for Parametric MIMO Channel Models | EURASIP Journal on Applied Signal Processing 2004 9 1354-1363 2004 Hindawi Publishing Corporation Multidimensional Rank Reduction Estimator for Parametric MIMO Channel Models Marius Pesavento Lehrstuhlfur Signaltheorie Ruhr-Universitat Bochum 44780 Bochum Germany Email mps@ Christoph F. Mecklenbrauker FTW - Forschungszentrum Telekommunikation Wien 1220 Wien Austria Email cfm@ Johann F. Bohme Lehrstuhlfur Signaltheorie Ruhr-Universitat Bochum 44780 Bochum Germany Email boehme@ Received 28 May 2003 Revised 25 November 2003 A novel algebraic method for the simultaneous estimation of MIMO channel parameters from channel sounder measurements is developed. We consider a parametric multipath propagation model with P discrete paths where each path is characterized by its complex path gain its directions of arrival and departure time delay and Doppler shift. This problem is treated as a special case of the multidimensional harmonic retrieval problem. While the well-known ESPRIT-type algorithms exploit shiftinvariance between specific partitions of the signal matrix the rank reduction estimator RARE algorithm exploits their internal Vandermonde structure. A multidimensional extension of the RARE algorithm is developed analyzed and applied to measurement data recorded with the RUSK vector channel sounder in the 2 GHz band. Keywords and phrases array processing rank reduction MIMO channel sounder ESPRIT. 1. INTRODUCTION Multidimensional harmonic retrieval problems arise in a large variety of important applications like synthetic aperture radar image motion estimation chemistry and doubledirectional channel estimation for multiple-input multipleoutput MIMO communication systems 1 . Also certain signal separation problems can be solved under this framework. The 4D parameter estimation problem for MIMO channel sounder measurements applies to the following doubledirectional MIMO channel model in which the signal is assumed to propagate from the transmitter