LIST VITERBI DECODING OF TAIL BITING CONVOLUTIONAL CODES

摘要

A low complexity List Viterbi algorithm (LVA) for decoding tail biting convolutional codes (TBCCs) has lower complexity than a solution of running the LVA algorithm for all states. In one aspect, a low complexity LVA-TBCC process includes finding a list of states from a single Viterbi algorithm and finding a list of potential codewords for each state in the state list using the LVA. A cyclic redundancy check may prune out false solutions. The disclosed method may be applied to many communication systems to improve error performance similar to LTE downlink PBCH decoding enhancements.