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Technical Program

Paper Detail

Paper:	SPCOM-L6.2
Session:	Channel Estimation & Equalization
Time:	Friday, May 19, 10:20 - 10:40
Presentation:	Lecture
Topic:	Signal Processing for Communication: MIMO channel estimation and equalization
Title:	Robust blind SIMO channel estimation using Adatron
Authors:	Dongho Han, Jose Principe, Liuqing Yang, University of Florida, United States; Ignacio Santamaría, Javier Vía, University of Cantabria, Spain
Abstract:	In this paper we apply the structural risk minimization(SRM) principle to derive a blind single-input multiple-output(SIMO) channel estimation algorithm, which is robust to channel order overestimation. Specifically, the blind estimation is formulated as a support vector regression~(SVR) problem in which the channel coefficients are the Lagrange multipliers of the dual problem. In this paper, we show that the SRM principle pushes to zero the small leading and trailing terms of the channel impulse response even when its order is highly overestimated. The main drawback of this approach is the high computational cost of the resulting quadratic programming (QP) problem. To alleviate this, in this paper we propose to use a simple and fast algorithm called the Adatron to solve the QP problem. Simulation results are provided to demonstrate the performance of our channel estimator.