Adaptive channel estimation for STBC-OFDM systems based on nature-inspired optimization strategies

Authors:
Leandro D'Orazio;Claudio Sacchi;Massimo Donelli
Affiliations:
SIEMENS S.p.A., Industry Sector, Milano, Italy;University of Trento, Department of Information Engineering and Computer Science, Povo, Trento, Italy;University of Trento, Department of Information Engineering and Computer Science, Povo, Trento, Italy
Venue:
MACOM'10 Proceedings of the Third international conference on Multiple access communications
Year:
2010

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Abstract

In this paper, we propose an adaptive channel estimation methodology for Space-Time Block-Coded (STBC) OFDM systems, aided by nature-inspired evolutionary optimization strategies, namely: Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The use of GA and PSO allows at increasing the convergence of adaptive channel estimation to the optimal MMSE solution with respect to state-of-the-art optimization methodologies based on the concept of deterministic gradient. As a result, system performances are greatly improved, with a clear advantage taken by PSO, both in terms of channel estimation accuracy, implementation ease, and reduced computational effort.