Title :
Maximum likelihood inter-carrier interference suppression for wireless OFDM with subcarriers
Author_Institution :
Dept. of ACSE, Hiroshima Univ, Japan
Abstract :
Orthogonal frequency division multiplexing (OFDM) transmission is robust to frequency-selective channels but sensitive to time-selective channels. Time variations of channels destroys the orthogonality between subcarriers, resulting in a considerable performance loss due to intercarrier interference (ICI) between subcarriers. In this paper, we propose a Viterbi-type algorithm to effectively suppress the ICI, by exploiting the property of ICI terms and subcarriers embedded in OFDM symbols for the reduction of interferences from/to adjacent bands. Simulations show that the proposed equalizer works well with affordable complexity and outperforms linear equalizers.
Keywords :
OFDM modulation; adjacent channel interference; channel estimation; communication complexity; error statistics; interference suppression; maximum likelihood estimation; ICI suppression; OFDM symbols; Viterbi-type algorithm; adjacent band interference reduction; affordable complexity; channel time variations; frequency-selective channels; intercarrier interference; linear equalizers; maximum likelihood inter-carrier interference suppression; orthogonal frequency division multiplexing; simulations; subcarrier orthogonality; subcarriers; time-selective channel sensitivity; wireless OFDM; Computational complexity; Decision feedback equalizers; Interference suppression; Intersymbol interference; Maximum likelihood estimation; Multipath channels; OFDM; Robustness; Transmitters; Wireless sensor networks;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415843