Title :
Signal detection algorithms for two-dimensional intersymbol-interference channels
Author :
Chen, Yiming ; Srinivasa, Shayan Garani
Author_Institution :
Western Digital Corp., Irvine, CA, USA
Abstract :
We develop several novel signal detection algorithms for two-dimensional intersymbol-interference channels. The core in all these schemes is a modified one-dimensional maximum aposteriori (MAP) detection algorithm that operates over single and multiple rows providing a balanced performance vs. complexity tradeoff. We explore 2-D iterative algorithms that operate by feeding extrinsic information from multi-row/column detectors in a turbo fashion. Multi-row/column MAP detection using 2-D turbo-processing yields more than 2 dB signal-to-noise ratio (SNR) gain compared to a non-iterative multi-row detector over the additive white Gaussian channel and within 0.1 dB of the ML estimate.
Keywords :
AWGN channels; intersymbol interference; iterative methods; maximum likelihood detection; maximum likelihood estimation; 2D iterative algorithms; 2D turbo-processing; MAP detection algorithm; ML estimation; SNR gain; additive white Gaussian channel; maximum likelihood estimation; modified one-dimensional maximum a-posteriori detection algorithm; multirow-column MAP detection; noniterative multirow detector; signal detection algorithms; signal-to-noise ratio; two-dimensional intersymbol-interference channels; Detectors; Equations; Shape; Signal detection; Signal processing algorithms; Signal to noise ratio; Vectors; Maximum a-posterori algorithm; Row-column algorithm; Soft decision feedback; Two-dimensional intersymbol interference;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6283504
