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An error correction decoder possessing a decoding method with high error correction performance and capable of operating at a low operating frequency and on a reduced circuit scale. A decoding method based on the SOVA method for improving error correction performance and boosting reliability of the

An error correction decoder possessing a decoding method with high error correction performance and capable of operating at a low operating frequency and on a reduced circuit scale. A decoding method based on the SOVA method for improving error correction performance and boosting reliability of the soft decision output by allowing branching of paths other than the survival path at trace-back is achieved by preparing a trace-back circuit for each state, and selecting an output from that output and survival state (survival state+difference of likelihood).

대표청구항 ▼

What is claimed is: 1. An error correction decoder for performing soft-decision Viterbi algorithm (SOVA) decoding of coded data output by a convolutional coder which generates the coded data according to changes in the among multiple tap states at each input of a bit signal, said error correction d

What is claimed is: 1. An error correction decoder for performing soft-decision Viterbi algorithm (SOVA) decoding of coded data output by a convolutional coder which generates the coded data according to changes in the among multiple tap states at each input of a bit signal, said error correction decoder comprising: an add compare select (ACS) circuit; a state metric memory for storing metric values found by the ACS circuit; a path information memory for storing path information; a Delta information memory for storing Delta information computed from a difference in likelihoods, wherein the ACS circuit calculates new metric values, the path information and the difference in likelihood based on the metric values stored in the state metric memory and a likelihood of each transition branch describing a transition structure of the tap state; and a trace-back processor for tracing back transitions of the tap state through the coded data output by the convolutional coder, wherein the trace-back processor includes circuitry which calculates a first path likelihood information equivalent to the difference in likelihood of a survival path among all other concurrent paths based on inputted path likelihood information, and calculates second path likelihood information which value is different from said first path likelihood information by a Delta information value corresponding to the difference in likelihood stored in the Delta information memory, and establishes hard decision values and soft decision values for each one bit trace-back, and wherein the trace-back processor includes circuitry which receives previously calculated path and Delta information and determines path weight information from the previously calculated path and Delta information, outputs, hard decision values that are a code estimated to have been input to the convolutional coder during transitions from survival path to survival path at tap states of a Trellis during trace-back; and a first multiplexer which outputs a survival hard decision output selected from the hard decision values to an XOR gate; and a second multiplexer that is controlled by the output of the XOR gate which, from among concurrent paths having hard decision values different from those of a survival path at a particular tap state of a Trellis, selects and outputs a minimum value of previously calculated path weight information as the soft decision value. 2. The error correction decoder according to claim 1, wherein the circuitry of the trace-back processor includes trace-back calculator modules equal in number to the number of the tap states, and each calculator module calculates the path weight information. 3. The error correction decoder according to claim 2, wherein the trace-back calculator module inputs one input that is a one-bit prior output of a trace-back calculator module. 4. The error correction decoder according to claim 2, wherein the trace-back calculator module calculates the first path likelihood information equivalent to the difference in likelihood of a survival path among all other concurrent paths, and utilizes that information to calculate the second path likelihood information. 5. The error correction decoder according to claim 2, wherein the trace-back calculator module selects the output path likelihood information from the first path likelihood information, and the sum of the first path likelihood information and the difference in likelihood when selecting a path in that tap state. 6. The error correction decoder according to claim 1, wherein the circuitry of the trace-back processor includes trace-back calculator modules equal in number to the number of the tap states, and each calculator module calculates the first path likelihood information. 7. The error correction decoder according to claim 6, wherein the trace-back calculator module calculates the first path likelihood information equivalent to the difference in likelihood of a survival path among all other concurrent paths, and utilizes that information to calculate the second path likelihood information.