PROJECT TITLE :

An Improved Belief Propagation Decoding of Concatenated Polar Codes With Bit Mapping - 2018

ABSTRACT:

Bit-channels of finite-length polar codes aren't totally polarized, and therefore the negative influences from semi-polarized channels are not negligible. In this letter, we have a tendency to think about the concatenated system of an inner polar code and an outer low-density parity-check (LDPC) code to enhance the error correction performance of finite-length polar code with belief propagation (BP) decoding. We propose a small amount mapping methodology between LDPC coded bits and polarized channels, reaching to match the coding protection of LDPC codes with polarization of polar codes. Simulation results show that, the concatenated polar codes with bit mapping outperform the pure polar codes with BP decoding and concatenated polar codes with traditional consecutive bit mapping.


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