Low Complexity False Search Error Estimator for Convolutional Codes

摘要

The present invention relates to a low complexity Syndrome Check Error Estimator (SCEE) for convolutional codes. The present invention uses a pre-decoder and a re-encoder using the same polynomial structure as the encoder of a transmitter, The present invention relates to a decoder technology that significantly reduces the complexity of a Viterbi decoder, allows it to operate at low power, and achieves a very simple connection form with another coding scheme.