Parametric least squares estimation for nonlinear satellite channels

Xiao, Lei; Cottatellucci, Laura
VTC 2012-Fall, 2012 IEEE 76th Vehicular Technology Conference, Québec City, Canada, September 2012

We consider a multiuser MIMO Mobile Satellite System (MSS) and model its channel as a cascade of a slow varying component, directivity vector, and a fast fading component, propagation component. We study the estimation of the slow varying part of the satellite channel at the gateway. Since the channel model is nonlinear, we propose a nonlinear parametric least squares approach. This optimization problem is shown to be equivalent to an eigenvalue complementary problem. The equivalent problem does not require an intermediate estimation of the nuisance (fast fading component) with relevant benefits in terms of computational complexity. The performance of the proposed algorithm is assessed by simulations based on realistic satellite channels.


DOI
Type:
Conférence
City:
Québec
Date:
2012-09-03
Department:
Systèmes de Communication
Eurecom Ref:
3736
Copyright:
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