FIELD: radio engineering, communication.
SUBSTANCE: method includes receiving an input code word with "strong" or "weak" solutions; decoding the input code word in a LDPC decoder; generating an output decoded code word; if the next input code word is present at the input of the decoder, receiving and processing said code word, otherwise decoding is completed; for a specified type of a LDPC decoder, predetermining the dependence of the distribution law of the number of iterations when decoding the input code word on the signal-to-noise ratio; and for a specified number of iterations, the dependence of the distribution law of the syndrome weight when decoding input code words on the signal-to-noise ratio; when decoding each input code word, recording the number of iterations performed during decoding, and for a specified number of iterations, the syndrome weight; constructing a histogram of the distribution of the number of iterations at a specified time interval, which is compared with previously obtained dependences of the distribution law of the number of iterations when decoding an input code word on the signal-to-noise ratio, and finding an estimate of the current signal-to-noise ratio; for a specified number of iterations, constructing a histogram of the distribution of the syndrome weight on a specified time interval, which is compared with previously obtained dependences of the distribution law of the syndrome weight when decoding input code words on the signal-to-noise ratio, and finding an estimate of the current signal-to-noise signal; based on the obtained signal-to-noise ratio estimates in each measurement channel, generating the final estimate of the current signal-to-noise ratio, for example via weighted summation and normalisation.
EFFECT: high noise-immunity owing to the use of an estimate of the current signal-to-noise ratio at the input of a receiving device.
23 cl, 14 dwg
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Authors
Dates
2016-01-20—Published
2013-10-28—Filed