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Haide Wang

Publications and source records attributed to Haide Wang.

21 records · Page 2Linked to original sources

Fixed-State Log-MAP Detection for Intensity-Modulation and Direct-Detection Optical Systems over Dispersion-Uncompensated Links

In this paper, an optimized detection based on log-maximum a posteriori estimation with the fixed number of surviving states (fixed-state Log-MAP) is proposed to cooperate with equalizers to deal with the spectral distortions caused by limited bandwidth and chromatic dispersion for intensity-modulation and direct-detection (IM/DD) optical systems. The equalizers compensates the spectral distortions and optimized detection decodes the useful bits from the noise. For accurately extracting the bits from more serious noise, the optimized detection with larger memory length is required. However, the classical optimized detection such as maximum likelihood-sequence estimation (MLSE) requires exponential-growing computational complexity and storage with the increasing memory length. The fixed-state Log-MAP detection can decrease the computational complexity and storage from the exponential order to linear order. Therefore, the fixed-state Log-MAP detection can compensate more distortions compared to MLSE under the same hardware condition. We experimentally verify the fixed-state Log-MAP detection in a C-band 64 Gbit/s IM/DD on-off keying optical system over a 100 km dispersion-uncompensated link. Under the same hardware condition, the fixed-state Log-MAP detection has a 2 dB improvement of receiver sensitivity compared to MLSE. In conclusion, the fixed-state Log-MAP detection shows the potential for practical IM/DD optical systems.

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Adaptive Channel-Matched Detection for C-Band 64-Gbit/s Optical OOK System over 100-km Dispersion-Uncompensated Link

In this paper, we propose adaptive channel-matched detection (ACMD) for C-band 64-Gbit/s intensity-modulation and direct-detection (IM/DD) optical on-off keying (OOK) system over a 100-km dispersion-uncompensated link. The proposed ACMD can adaptively compensate most of the link distortions based on channel and noise characteristics, which includes a polynomial nonlinear equalizer (PNLE), a decision feedback equalizer (DFE) and maximum likelihood sequence estimation (MLSE). Based on the channel characteristics, PNLE eliminates the linear and nonlinear distortions, while the followed DFE compensates the spectral nulls caused by chromatic dispersion. Finally, based on the noise characteristics, a post filter can whiten the noise for implementing optimal signal detection using MLSE. To the best of our knowledge, we present a record C-band 64-Gbit/s IM/DD optical OOK system over a 100 km dispersion-uncompensated link achieving 7\% hard-decision forward error correction limit using only the proposed ACMD at the receiver side. In conclusion, ACMD-based C-band 64-Gbit/s optical OOK system shows great potential for future optical interconnects.

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BGD-based Adam algorithm for time-domain equalizer in PAM-based optical interconnects

To the best of our knowledge, for the first time, we propose adaptive moment estimation (Adam) algorithm based on batch gradient descent (BGD) to design a time-domain equalizer (TDE) for PAM-based optical interconnects. Adam algorithm has been widely applied in the fields of artificial intelligence. For TDE, BGD-based Adam algorithm can obtain globally optimal tap coefficients without being trapped in locally optimal tap coefficients. Therefore, fast and stable convergence can be achieved by BGD-based Adam algorithm with low mean square error. Meanwhile, BGD-based Adam algorithm is implemented by parallel processing, which is more efficient than conventional serial algorithms, such as least mean square and recursive least square algorithms. The experimental results demonstrate that BGD-based Adam feed-forward equalizer works well in 120-Gbit/s PAM8 optical interconnects. In conclusion, BGD-based Adam algorithm shows great potential for converging the tap coefficients of TDE in future optical interconnects.

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