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In information theory, a soft-decision decoder is a kind of decoding methods – a class of algorithm used to decode data that has been encoded with an error correcting code. Whereas a hard-decision decoder operates on data that take on a fixed set of possible values (typically 0 or 1 in a binary code), the inputs to a soft-decision decoder may take on a whole range of values in-between. This extra information indicates the reliability of each input data point, and is used to form better estimates of the original data. Therefore, a soft-decision decoder will typically perform better in the presence of corrupted data than its hard-decision counterpart.
Sequence detection decoding method and device, equipment and storage medium
PendingCN122268540AError preventionError correction/detection using multiple parity bitsComputation complexitySoft-decision decoder
The application discloses a sequence detection decoding method, device and equipment and a storage medium. In the application, after an initial discrete sequence is acquired, the initial discrete sequence needs to be preprocessed so as to converge the ISI effective memory length to a predetermined range, thereby reducing the calculation complexity of an sMLSE sequence detector. Furthermore, the sMLSE sequence detector and a soft decision decoder are adopted to perform an iterative detection decoding process. The soft decision decoder will continue to participate in the sMLSE sequence detector to perform the next round of iteration according to the extrinsic information generated in the current round of iteration. In this way, the discrimination ability for a correct symbol sequence can be gradually enhanced and the decoding performance can be improved under a strong ISI condition.
Owner:PENG CHENG LAB