Title :
Low-complexity minimum-SER channel equalization for OFDM underwater acoustic communications
Author :
Beixiong Zheng ; Fangjiong Chen ; Miaowen Wen ; Fei Ji ; Hua Yu
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
Orthogonal frequency division multiplexing (OFDM) is promising for underwater acoustic (UWA) communications as it is robust against large delay spread. However, OFDM suffers from intercarrier interference (ICI) caused by the serious Doppler effect in UWA channels. Attentive to the property that the ICI is mainly contributed by the adjacent subcarriers in UWA channels, in this paper, we propose a novel low-complexity frequency-domain equalizer to combat the ICI for OFDM UWA communications. Specifically, the coefficients of the equalizer are obtained by using the nor- malized gradient algorithm which is based on the minimum symbol error rate (MSER) criterion. The proposed equalizer uses very few (typical 3) FIR taps to mitigate the ICI for each subchannel, yet achieves better SER performance than the conventional equalizer based on the minimum mean square error (MMSE) criterion.
Keywords :
Doppler effect; OFDM modulation; equalisers; error statistics; gradient methods; intercarrier interference; radiofrequency interference; underwater acoustic communication; wireless channels; Doppler effect; FIR taps; ICI mitigation; MSER criterion; OFDM underwater acoustic communications; UWA channels; adjacent subcarriers; intercarrier interference; low-complexity frequency-domain equalizer; low-complexity minimum-SER channel equalization; minimum symbol error rate criterion; normalized gradient algorithm; orthogonal frequency division multiplexing; Doppler effect; Equalizers; Frequency-domain analysis; Mathematical model; OFDM; Signal to noise ratio; Underwater acoustics; Minimum-symbol-error rate; intercarrier interference (ICI); orthogonal frequency division multiplexing (OFDM); underwater acoustic communications;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178525