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: A Conjugate-Cyclic-Autocorrelation Projection-Based Algorithm for Signal Parameter Estimation | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2006 Article ID 86026 Pages 1-7 DOI WCN 2006 86026 A Conjugate-Cyclic-Autocorrelation Projection-Based Algorithm for Signal Parameter Estimation Valentina DeAngelis 1 Luciano Izzo 1 Antonio Napolitano 2 and Mario Tanda1 1 Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni Universita di Napoli Federico II Via Claudio 21 80125 Napoli Italy 2 Dipartimento per le Tecnologie Universita di Napoli Parthenope Via Acton 38 80133 Napoli Italy Received 1 March 2005 Revised 8 March 2006 Accepted 13 March 2006 Recommended for Publication by Alex Gershman A new algorithm to estimate amplitude delay phase and frequency offset of a received signal is presented. The frequency-offset estimation is performed by maximizing with respect to the conjugate cycle frequency the projection of the measured conjugate-cyclic-autocorrelation function of the received signal over the true conjugate second-order cyclic autocorrelation. It is shown that this estimator is mean-square consistent for moderate values of the data-record length outperforms a previously proposed frequency-offset estimator and leads to mean-square consistent estimators of the remaining parameters. Copyright 2006 Valentina De Angelis et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Demodulation in digital communication systems requires knowledge of symbol timing frequency offset and phase shift of the received signal. Moreover in several applications . power control the knowledge of the amplitude of the received signal is also required. Several blind . non data-aided algorithms for estimating some of the parameters of interest have been proposed in the literature. In particular some of them exploit the cyclostationarity .
