Title :
Constrained Information Combining: Theory and Applications for LDPC Coded Systems
Author :
Sutskover, I. ; Shamai, Shlomo ; Ziv, J.
Author_Institution :
Fac. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa
fDate :
5/1/2007 12:00:00 AM
Abstract :
This paper tightens previous information combining bounds on the performance of iterative decoding of binary low-density parity-check (LDPC) codes over binary-input symmetric-output channels by tracking the probability of erroneous bit in conjunction with mutual information. Evaluation of the new bounds as well as of other known bounds on different LDPC ensembles demonstrates sensitivity of the finite dimensional iterative bounds to lambda2, the fraction of edges connected to degree 2 variable nodes
Keywords :
binary codes; channel coding; error statistics; iterative decoding; parity check codes; LDPC; binary low-density parity-check code; binary-input symmetric-output channel; error probability; finite dimensional iterative bound; iterative decoding; tracking; Bit error rate; Channel coding; Constraint theory; Error analysis; Information analysis; Iterative decoding; Jacobian matrices; Mutual information; Parity check codes; Performance analysis; Bit error rate (BER); Chebyshev systems; Lagrange dual problem; channel coding; entropy; extrinsic information transfer (EXIT) charts; information combining; information flow; iterative decoding; low-density parity-check (LDPC) codes; maximum a posteriori probability (MAP) decoding; mutual information; probability of error; turbo codes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2007.894645
