Title :
On coding for Faster-Than-Nyquist signaling
Author :
Tajan, Romain ; Benammar, Bouchra ; Poulliat, Charly ; Boucheret, Marie-Laure
Author_Institution :
IMS Lab., Univ. of Bordeaux, Talence, France
Abstract :
In this paper, we study the design of sparse graph based codes for Faster-Than-Nyquist (FTN) signaling. Using an asymptotic approach based on EXIT charts, we show that good low-density parity check codes can be designed that perform well under iterative detection and decoding and that have better performance than a FTN scheme using a code optimized for the additive white Gaussian noise channel.
Keywords :
AWGN channels; Nyquist criterion; compressed sensing; graph theory; iterative decoding; parity check codes; EXIT charts; FTN scheme; FTN signaling; Faster-Than-Nyquist signaling; additive white Gaussian noise channel; iterative decoding; iterative detection; low-density parity check codes; sparse graph based codes; Detectors; Iterative decoding; Modulation; Noise; Optimization; Receivers;
Conference_Titel :
Communications and Networking (BlackSeaCom), 2015 IEEE International Black Sea Conference on
Conference_Location :
Constanta
DOI :
10.1109/BlackSeaCom.2015.7185093
