Title :
Blind OFDM channel estimation through linear precoding: a subspace approach
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
A blind channel estimation method for OFDM systems is proposed. By introducing a linear precoder before the IFFT operation, a low-rank structure is created in the received post-DFT signal. Then subspace properties can be explored to identify the channel up to a scalar ambiguity.
Keywords :
OFDM modulation; channel estimation; discrete Fourier transforms; linear codes; IFFT operation; blind OFDM; channel estimation; discrete Fourier transform; inverse fast Fourier transform; linear precoding; orthogonal frequency division multiplexing; postDFT signal; scalar ambiguity; subspace approach; Baseband; Blind equalizers; Channel estimation; Frequency conversion; OFDM modulation; Redundancy; Wideband; Wireless networks;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197257