Maximum likelihood error detection for decision feedback equalizers with pam modulation
AssigneeInphi Corporation
InventorsJamal RIANI, Farshid Rafiee RAD, Benjamin P. SMITH, Yu LIAO, Sudeep BHOJA
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Abstract
The present invention is directed to data communication. More specifically, an embodiment of the present invention provides an error correction system. Input data signals are processed by a feedforward equalization module and a decision feedback back equalization module. Decisions generated by the decision feedback equalization module are processed by an error detection module, which determines error events associated with the decisions. The error detection module implements a reduced state trellis path. There are other embodiments as well.
Claims20
An error detection device comprising:
- a decision feedback equalizer (DFE) configured to remove intersymbol interference (ISI) noise from a data signal and generate DFE decisions;
- an error detector configured to detect error events associated with a sequence of data of the DFE decisions by performing maximum likelihood detections, the error detector being configured to generate an output error states;
- and
- an enable logic configured to generate a control signal for the error detector based on a quality of the data signal.
An input terminal for receiving a data signal comprising,
- a decision feedback equalizer (DFE) configured to remove intersymbol interference (ISI) noise from a data signal and generate DFE decisions, the data signal being associated with a pulse-amplitude modulation (PAM) format;
- and
- an error detector configured to detect error by analyzing the DFE decisions and the error signal using a trellis path, the error detector being configured to store signs associated with an input error state and generate an output error states by flipping the signs.
A communication device comprising:
- an input terminal for receiving a data signal;
- a decision feedback equalizer (DFE) configured to remove intersymbol interference (ISI) noise from a data signal and generate DFE decisions;
- a reflection cancelation module configured to remove reflection from the data signal;
- an error detector configured to detect error events associated with the DFE decisions by performing maximum likelihood detections, the error detector being configured to and generate an output error states using a trellis path;
- and
- a de-mapping module for de-mapping the data signal.
Dependencies are inferred from the claim text.