Demonstration of PMD Compensation by LDPC-Coded Turbo Equalization and Channel Capacity Loss Characterization Due to PMD and Quantization

Minkov, L.L.; Djordjević, Ivan B.; Batshon, Hussam G.; Xu, Lei; Wang, T.; Cvijetic, Milorad; Kueppers, Franko

doi:10.1109/lpt.2007.907636

Cited by 18 publications

(15 citation statements)

References 11 publications

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“…The i.i.d. channel capacity is also known as achievable information rate (see [26]- [29] and references therein), and represents the lower bound on channel capacity. To calculate the i.i.d.…”

Section: Achievable Information Rate Studymentioning

confidence: 99%

“…In this paper, we use the logdomain version instead (similarly as in [28], [29]), because it is numerically more stable and allows to study the quantization effects. Moreover, the references [26], [27] concentrate on fiber nonlinearities, the reference [28] on chromatic dispersion and the reference [29] on PMD. Here we consider the joint influence of different channel impairments on i.i.d.…”

Section: Achievable Information Rate Studymentioning

confidence: 99%

“…In [26]- [29], we calculated the channel capacity of independent identically distributed (i.i.d.) information source (the achievable information rates) again observing different channel impairments separately.…”

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confidence: 99%

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Mitigation of linear and nonlinear impairments in high-speed optical networks by using LDPC-coded turbo equalization

Djordjević

2008

2008 Digest of the IEEE/LEOS Summer Topical Meetings

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Abstract-We study a turbo equalization scheme based on low-density parity-check (LDPC) coded turbo equalization (TE). This scheme is suitable for simultaneous: (i) suppression of intrachannel nonlinearities, (ii) chromatic dispersion compensation, and (iii) polarization-mode dispersion (PMD) compensation. LDPC coding is based on large girth (g ≥ 8) block-circulant codes, and maximum a posteriori probability (MAP) equalizer is based on Bahl-Cocke-Jelinek-Raviv (BJCR) algorithm. The ultimate channel capacity limits, assuming an independent identically distributed (i.i.d.) source are reported as well. In the presence of intrachannel nonlinearities the LDPC-coded TE provides almost 12 dB improvement over BCJR equalizer at BER of 10 −8 . For an NRZ system operating at 10 Gb/s with residual dispersion of 11200 ps/nm and for differential group delay of 50 ps, the LDPC-coded TE is only 1 dB away from the i.i.d channel capacity. The efficiency of LDPC-coded TE in PMD compensation is demonstrated experimentally, with decoding performed off line.

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Section: Achievable Information Rate Studymentioning

confidence: 99%

Section: Achievable Information Rate Studymentioning

confidence: 99%

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Mitigation of linear and nonlinear impairments in high-speed optical networks by using LDPC-coded turbo equalization

Djordjević

2008

2008 Digest of the IEEE/LEOS Summer Topical Meetings

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“…To deal with PMD a number of methods have been proposed recently: (i) turbo equalization [2], (ii) polarization diversity orthogonal frequency division multiplexing (OFDM) [3], (iii) the channel equalization scheme described in [4], and Alamouti-type [5] polarizationtime (PT) coding scheme introduced by authors in [6].…”

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confidence: 99%

“…The MMSE V-BLAST OFDM scheme is able to compensate even 1200 ps of DGD with negligible penalty. Notice that for corresponding turbo equalization [2] or maximum-likelihood sequence estimation schemes, the detector complexity grows exponentially as DGD increases, and for DGD of 1200 ps it would require the trellis description (see [2]) with 2 25 states, which is too high for practical implementation. Our schemes, although of lower complexity, are able to compensate up to 1200 ps of DGD with negligible penalty.…”

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confidence: 99%