Title :
Adaptive Low-Complexity MMSE Channel Estimation for OFDM
Author :
Lowe, Darryn ; Huang, Xiaojing
Author_Institution :
Sch. of Electr., Comput. & Telecommun. Eng., Wollongong Univ., NSW
fDate :
Oct. 18 2006-Sept. 20 2006
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;
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
DOI :
10.1109/ISCIT.2006.339825
