Title :
Shortened Polar Codes
Author :
Miloslavskaya, Vera
Author_Institution :
Dept. of Distrib. Comput. & Networking, Peter the Great St. Petersburg Polytech. Univ., St. Petersburg, Russia
Abstract :
An optimization algorithm for finding a shortening pattern and a set of frozen symbols for polar codes is proposed. The structure of polar codes is exploited to eliminate many equivalent shortening patterns, thus reducing the search space. A reduced-complexity suboptimal algorithm is proposed for finding shortening patterns for long polar codes. Shortened codes obtained with the proposed method are shown to outperform low-density parity-check (LDPC) codes.
Keywords :
decoding; optimisation; low-density parity-check codes; optimization algorithm; polar codes; reduced-complexity suboptimal algorithm; sequential decoding; successive cancellation decoding; Arrays; Decoding; Error probability; Heuristic algorithms; Iron; Linear codes; Optimization; Polar codes; sequential decoding; shortening; successive cancellation decoding;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2015.2453312