Title :
Performance of MLSE-based receivers in lightwave systems with nonlinear dispersion and amplified spontaneous emission noise
Author :
Hueda, Mario R. ; Crivelli, Diego E. ; Carrer, Hugo S.
Author_Institution :
Digital Commun. Res. Lab., Univ. Nacional de Cordoba, Argentina
fDate :
29 Nov.-3 Dec. 2004
Abstract :
Maximum likelihood sequence estimation (MLSE) has been proposed in earlier literature to combat the effects of nonlinear dispersion in intensity modulation/direct detection (IM/DD) optical channels. We develop a theory of the bit error rate (BER) of MLSE-based IM/DD receivers operating in the presence of nonlinear intersymbol interference (ISI) and amplified spontaneous emission (ASE) noise. Numerical results confirm the predictions of our theory. Based on the new analysis, we also investigate the log-likelihood ratio (LLR) of the received signal yielded by a soft-input/soft-output (SISO) front-end decoder. Our study shows that traditional channel codes designed for transmissions over AWGN channels, in combination with SISO front-end detectors, achieve an asymptotically optimal performance in transmissions over IM/DD optical channels.
Keywords :
channel coding; decoding; error statistics; intensity modulation; intersymbol interference; maximum likelihood sequence estimation; optical fibre communication; optical fibre dispersion; optical noise; optical receivers; AWGN channels; BER; IM/DD optical channels; MLSE-based receivers; SISO front-end decoder; amplified spontaneous emission noise; bit error rate; channel codes; intensity modulation/direct detection optical channels; lightwave systems; log-likelihood ratio; maximum likelihood sequence estimation; nonlinear ISI; nonlinear dispersion; nonlinear intersymbol interference; optical fiber transmission systems; soft-input/soft-output front-end decoder; Additive white noise; Bit error rate; Gaussian noise; Intersymbol interference; Maximum likelihood detection; Maximum likelihood estimation; Nonlinear optics; Optical noise; Optical receivers; Spontaneous emission;
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
DOI :
10.1109/GLOCOM.2004.1377958