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The most common algorithm used in iterative decoding of low-density parity check (LDPC) codes is based on a generic class of the sum-product algorithm, which has a nonlinear dependence on the log(tanh()) function. The implementation based on fixed precision has substantial loss of accuracy and is computationally expensive with full precision. A suboptimal version of belief propagation called the offset-min-sum...
Implementation of high throughput VLSI chips for low-density parity-check codes has been considered very difficult especially when the row or column weight of the code is high. In this paper, a projective-geometry (PG) LDPC code is implemented in VLSI employing the proposed soft bit flipping (SBF) algorithm. The SBF algorithm requires only simple interconnections, but its error correcting performance...
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