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Evaluation of the very low BER of FEC codes using dual adaptive importance sampling

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5 Author(s)
Holzlohner, R. ; Comput. Sci. & Electr. Eng. Dept., Maryland Univ., Baltimore, MD, USA ; Mahadevan, A. ; Menyuk, C.R. ; Morris, J.M.
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We evaluate the error-correcting performance of a low-density parity-check (LDPC) code in an AWGN channel using a novel dual adaptive importance sampling (DAIS) technique based on multicanonical Monte Carlo (MMC) simulations, that allows us to calculate bit error rates as low as 10-19 for a (96,50) LDPC code without a priori knowledge of how to bias. Our results agree very well with standard MC simulations, as well as the union bound for the code.

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Communications Letters, IEEE  (Volume:9 ,  Issue: 2 )