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作者机构:Univ Bordeaux 1 Dept LAPS IMS F-33405 Talence France
出 版 物:《SIGNAL PROCESSING》 (信号处理)
年 卷 期:2010年第90卷第1期
页 面:24-33页
核心收录:
基 金:French Ministry of Foreign Affairs National Bureau of Science, Technology and Innovation of Panama (SENACYT)
主 题:Moving average processes Autoregressive processes Autoregressive moving average processes Rayleigh fading channel Inner-outer factorization
摘 要:The paper deals with the design of Rayleigh fading channel simulators based on the inner-outer factorization. The core of the approach is to approximate the outer spectral factor of the channel power spectral density (PSD) by either finite-order polynomials or rational functions. This, respectively, leads to MA or AR/ARMA models. The parameter estimation operates in two steps: the outer factor, which leads to a minimum-phase filter, is first evaluated inside the unit disk of the z-plane. Then, we propose to compute the Taylor expansion coefficients of the outer factor because they coincide with the model parameters. Unlike other simulation techniques, this has the advantage that the first p parameters remain unchanged when one increases the model order from p to p+1. A comparative study with existing channel simulation approaches points out the relevance of our ARMA model-based method. Moreover, the ARMA model weakens the oscillatory deviations from the theoretical PSD in the case of AR models, or low peaks at the Doppler frequencies for MA models. (C) 2009 Elsevier B.V. All rights reserved.