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.

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