Efficient Decoding Algorithms for Polar Codes based on 2×2 Non-Binary Kernels

07/10/2018
by   Peihong Yuan, et al.
0

Polar codes based on 2×2 non-binary kernels are discussed in this work. The kernel over GF(q) is selected by maximizing the polarization effect and using Monte-Carlo simulation. Belief propagation (BP) and successive cancellation (SC) based decoding algorithms are extended to non-binary codes. Additionally, a successive cancellation list (SCL) decoding with a pruned tree is proposed. Simulation results show that the proposed decoder performs very close to a conventional SCL decoder with significantly lower complexity.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/12/2020

Efficient decoding of polar codes with some 16×16 kernels

A decoding algorithm for polar codes with binary 16×16 kernels with pola...
research
07/10/2018

Successive Cancellation List Decoding of BMERA Codes with Application to Higher-Order Modulation

BMERA or convolutional polar codes are an extension of polar codes with ...
research
11/22/2022

Towards Optimal Decoding for Polar Codes

In the conventional successive cancellation (SC) decoder for polar codes...
research
02/04/2019

Recursive projection-aggregation decoding of Reed-Muller codes

We propose a new class of efficient decoding algorithms for Reed-Muller ...
research
07/01/2019

Polar Codes with Memory

Polar codes with memory (PCM) are proposed in this paper: a pair of cons...
research
11/01/2021

Decoding of Polar Codes Based on Q-Learning-Driven Belief Propagation

This paper presents an enhanced belief propagation (BP) decoding algorit...
research
10/15/2020

Window Processing of Binary Polarization Kernels

A decoding algorithm for polar (sub)codes with binary 2^t× 2^t polarizat...

Please sign up or login with your details

Forgot password? Click here to reset