Method and apparatus for self-compensation on...

Error detection/correction and fault detection/recovery – Pulse or data error handling – Error/fault detection technique

Reexamination Certificate

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Reexamination Certificate

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07631250

ABSTRACT:
A self-compensation method includes: firstly using a min-sum algorithm to derive multiple output values in order to approach a operational result of the checking side of a belief-propagation; and then checking the present iteration number of decoding based on a checking rule; and finally, if in the previous step the present iteration number is identified with a to-be-corrected state, then performing a compensation procedure on the multiple output values, wherein the compensation term is dynamically selected in accordance with an input value of the checking nodes of the belief-propagation. The invention also provides an automatic compensation apparatus, which consists of devices such as a min-sum operating unit, and a dynamic quantization control unit, etc., which can be used, while executing the invented method described above, to decode the belief-propagation algorithm.

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J. Hagenauer, E. Offer and L. Papke, “Iterative decoding of binary block and convolutional codes”, IEEE Transaction on Information Theory, vol. 42, No. 2, pp. 429-445, Mar. 1996.
J. Chen and M.P.C. Fossorier, “Near optimum universal belief propogation based decoding of low-density parity check codes”, IEEE Transaction on Communications, vol. 50, No. 3, pp. 406-414, Mar. 2002.
J. Heo and K. M. Chugg, “Optimization of scaling soft information in iterative decoding via density evolution methods”, IEEE Transaction on Communications vol. 50, No. 6, pp. 957-961, Jun. 2005.

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