Title :
Channel estimation by symmetrical clustering
Author :
Filho, Jugurta R Montãlvao ; Dorizzi, Bernadette ; Mota, João Cesar M
Author_Institution :
EPH Dept., Inst. Nat. des Telecommun., Evry, France
fDate :
6/1/2002 12:00:00 AM
Abstract :
A new blind channel estimation algorithm is presented. This algorithm comes from the well-known maximum likelihood estimation approach. However, we intentionally "smooth" the joint probability density function (PDF) of a finite set of observations in order to reduce the computational burden. As a result, we obtain an online clustering algorithm whose main characteristic is the constraint of symmetry among cluster centers. Computational simulations are used to evaluate this algorithm
Keywords :
maximum likelihood estimation; parameter estimation; pattern clustering; probability; signal sampling; telecommunication channels; transient response; 4-QAM; PDF; blind channel estimation algorithm; channel estimation; computational simulations; higher order statistics algorithm; impulse response; joint probability density function; maximum likelihood estimation; online clustering algorithm; parametric estimation; sampled system; symmetrical clustering algorithm; Annealing; Blind equalizers; Channel estimation; Clustering algorithms; Computational modeling; Deconvolution; Hidden Markov models; Maximum likelihood estimation; Probability density function; Signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2002.1003069
