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Channel estimation by symmetrical clustering

2002; Institute of Electrical and Electronics Engineers; Volume: 50; Issue: 6 Linguagem: Inglês

10.1109/tsp.2002.1003069

1941-0476

Jugurta Montalvão, Bernadette Dorizzi, J.C.M. Mota,

Algorithms and Data Compression

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.