Performance Bounds and Estimates for Quantized LDPC Decoders.

IEEE Transactions on Communications(2020)

Cited 14|Views11
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Abstract
The performance of low-density parity-check (LDPC) codes at high signal-to-noise ratios (SNRs) is known to be limited by the presence of certain sub-graphs that exist in the Tanner graph representation of the code, for example trapping sets and absorbing sets. This paper derives a lower bound on the frame error rate (FER) of any LDPC code containing a given problematic sub-graph, assuming a partic...
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Key words
Decoding,Parity check codes,Signal to noise ratio,Monte Carlo methods,Standards,Error analysis,Quantization (signal)
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