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公开(公告)号:US10530492B2
公开(公告)日:2020-01-07
申请号:US16151094
申请日:2018-10-03
Applicant: INPHI CORPORATION
Inventor: Damián Alfonso Morero , Mario Rafael Hueda , Oscar Ernesto Agazzi
Abstract: A method and structure for signal propagation in a coherent optical receiver device. Asynchronous equalization helps to reduce complexity and power dissipation, and also improves the robustness of timing recovery. However, conventional devices using inverse interpolation filters ignore adaptation algorithms. The present invention provides for forward propagation and backward propagation. In the forward case, the filter input signal is forward propagated through a filter to the adaptation engine, while, in the backward case, the error signal is backward propagated through a filter to the asynchronous domain. Using such forward and backward propagation schemes reduces implementation complexity while providing optical device performance.
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公开(公告)号:US10958354B2
公开(公告)日:2021-03-23
申请号:US16703637
申请日:2019-12-04
Applicant: INPHI CORPORATION
Inventor: Damián Alfonso Morero , Mario Rafael Hueda , Oscar Ernesto Agazzi
Abstract: A method and structure for signal propagation in a coherent optical receiver device. Asynchronous equalization helps to reduce complexity and power dissipation, and also improves the robustness of timing recovery. However, conventional devices using inverse interpolation filters ignore adaptation algorithms. The present invention provides for forward propagation and backward propagation. In the forward case, the filter input signal is forward propagated through a filter to the adaptation engine, while, in the backward case, the error signal is backward propagated through a filter to the asynchronous domain. Using such forward and backward propagation schemes reduces implementation complexity while providing optical device performance.
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公开(公告)号:US10027423B1
公开(公告)日:2018-07-17
申请号:US15187711
申请日:2016-06-20
Applicant: Inphi Corporation
Inventor: Damián Alfonso Morero , Martin Carlos Asinari , Martin Ignacio del Barco , Mario Rafael Hueda , Lucas Javier Yoaquino
Abstract: An adaptive demapper adaptively demaps an input symbol. An input symbol is received and demapped in a hard-output demapper to generate a current detected symbol corresponding to a constellation point on a current constellation closest to the input symbol. A corrected inverse of a current noise power estimate is determined by updating a previous noise power estimate based on a difference between the input symbol and the current detected symbol. In a soft-output demapper, a log likelihood ratio corresponding to the current detected symbol is determined based on the corrected inverse of the current noise power estimate. The constellation point in the current constellation corresponding to the current detected symbol is then updated to generate an updated constellation based on a difference between the constellation point and the received input symbol.
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