RIS ID
15454
Abstract
In this paper we present extremely low-complexity adaptive infinite impulse response (IIR) filters that approximate minimum mean square error (MMSE) channel estimation in orthogonal frequency-division multiplexing (OFDM) systems. We show how the packet error rate (PER) can be significantly improved over conventional zero-forcing (ZF) estimation without incurring a significant increase in computational complexity. All quantitative results are provided in the context of multi-band OFDM (MB-OFDM) ultra-wideband (UWB) with standard IEEE channel models.
Publication Details
This paper was originally published as: Lowe, D & Huang, X, Adaptive low-complexity MMSE channel estimation for OFDM, 2006 International Symposium on Communications and Information Technologies (ISCIT), Bangkok, Thailand, 18-20 October 2006. Conference information is available here.