Adaptive Low-Complexity MMSE Channel Estimation for OFDM

Author

Lowe, Darryn ; Huang, Xiaojing

Author_Institution

Sch. of Electr., Comput. & Telecommun. Eng., Wollongong Univ., NSW

fYear

2006

fDate

Oct. 18 2006-Sept. 20 2006

Firstpage

638

Lastpage

643

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

Keywords

IEEE standards; IIR filters; OFDM modulation; channel estimation; least mean squares methods; ultra wideband communication; IIR filters; OFDM; adaptive low-complexity MMSE channel estimation; computational complexity; low-complexity adaptive infinite impulse response filters; minimum mean square error; multiband OFDM ultra-wideband; packet error rate; standard IEEE channel models; zero-forcing estimation; Adaptive filters; Channel estimation; Computational complexity; Context modeling; Error analysis; Frequency division multiplexing; IIR filters; Mean square error methods; OFDM; Ultra wideband technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Information Technologies, 2006. ISCIT '06. International Symposium on

Conference_Location

Bangkok

Print_ISBN

0-7803-9741-X

Electronic_ISBN

0-7803-9741-X

Type

conf

DOI

10.1109/ISCIT.2006.339825

Filename

4141463