@article{(Open Science Index):https://publications.waset.org/pdf/6759, title = {Blind Identification of MA Models Using Cumulants}, author = {Mohamed Boulouird and Moha M'Rabet Hassani}, country = {}, institution = {}, abstract = {In this paper, many techniques for blind identification of moving average (MA) process are presented. These methods utilize third- and fourth-order cumulants of the noisy observations of the system output. The system is driven by an independent and identically distributed (i.i.d) non-Gaussian sequence that is not observed. Two nonlinear optimization algorithms, namely the Gradient Descent and the Gauss-Newton algorithms are exposed. An algorithm based on the joint-diagonalization of the fourth-order cumulant matrices (FOSI) is also considered, as well as an improved version of the classical C(q, 0, k) algorithm based on the choice of the Best 1-D Slice of fourth-order cumulants. To illustrate the effectiveness of our methods, various simulation examples are presented. }, journal = {International Journal of Electronics and Communication Engineering}, volume = {1}, number = {6}, year = {2007}, pages = {869 - 873}, ee = {https://publications.waset.org/pdf/6759}, url = {https://publications.waset.org/vol/6}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 6, 2007}, }