Hybrid hard-decision iterative decoding of regular low-density parity-check codes
Hybrid decoding means to combine different iterative decoding algorithms with the aim of improving error performance or decoding complexity. In this work, we introduce "time-invariant" hybrid (HTI) algorithms, and using density evolution show that for regular low-density parity-check (LDPC) codes and binary message-passing algorithms, HTI algorithms perform remarkably better than their constituent algorithms. We also show that compared to "switch-type" hybrid (HST) algorithms, such as Gallager's algorithm B, where a comparable improvement is obtained by switching between different iterative decoding algorithms, HTI algorithms are far less sensitive to channel conditions and thus can be practically more attractive.
|Keywords||Density evolution, Hybrid decoding, Iterative coding schemes, Low-density parity-check (LDPC) codes, Message-passing decoding algorithms|
|Journal||IEEE Communications Letters|
Zarrinkhat, P. (Pirouz), & Banihashemi, A. (2004). Hybrid hard-decision iterative decoding of regular low-density parity-check codes. IEEE Communications Letters, 8(4), 250–252. doi:10.1109/LCOMM.2004.827438