Abstract
A new algorithm is presented for blind identification of moving average (MA) models using the 1-D slice of its fourth-order cumulants and the autocorrelation functions. The proposed algorithm utilizes the BPSK signals as MA models input that is an independent and identically distributed (i.i.d) process. Our algorithm is compared with Giannakis algorithm. Simulations verify the good performance of the proposed algorithm.
Keywords: Blind identification, higher-order statistics, MA models, BPSK signals
Recent Patents on Computer Science
Title: HOS-Based Algorithm for Blind Identification of MA Models Using BPSK Signals
Volume: 2 Issue: 2
Author(s): Mohamed Boulouird and Moha M. Hassani
Affiliation:
Keywords: Blind identification, higher-order statistics, MA models, BPSK signals
Abstract: A new algorithm is presented for blind identification of moving average (MA) models using the 1-D slice of its fourth-order cumulants and the autocorrelation functions. The proposed algorithm utilizes the BPSK signals as MA models input that is an independent and identically distributed (i.i.d) process. Our algorithm is compared with Giannakis algorithm. Simulations verify the good performance of the proposed algorithm.
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Boulouird Mohamed and Hassani M. Moha, HOS-Based Algorithm for Blind Identification of MA Models Using BPSK Signals, Recent Patents on Computer Science 2009; 2 (2) . https://dx.doi.org/10.2174/2213275910902020131
DOI https://dx.doi.org/10.2174/2213275910902020131 |
Print ISSN 2213-2759 |
Publisher Name Bentham Science Publisher |
Online ISSN 1874-4796 |