Performance Evaluation of Memory-less and Kalman-based Channel Estimation for OFDMA
Paper in proceedings, 2009

The next generation wireless systems based on Orthogonal Frequency Division Multiple Access (OFDMA) need to operate in widely different deployment and usage scenarios. Thus, support for flexible resource allocation is important. In this paper we investigate the performance of different memory-less and memory-based channel estimators with different OFDMA subcarrier allocation schemes and different pilot patterns. We evaluate the performance in various fading environments and for different user terminal velocities. The results show that channel estimation can perform well enough for time-frequency localized resources as small as 22 channel symbols with two pilots in many important scenarios. The results provided can be used to identify appropriate subcarrier allocations for the next generation OFDMA based wireless systems.

Kalman filtering


channel estimation


Daniel Aronsson

Uppsala University

Tommy Svensson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Mikael Sternad

Uppsala University

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference; Barcelona; Spain; 26 April 2009 through 29 April 2009

1550-2252 (ISSN)

Art. no. 5073788-

Areas of Advance

Information and Communication Technology

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