Information Theoretic Criterion for Stopping Turbo Iteration

• Published in: IEEE transactions on signal processing Vol. 59; no. 2; pp. 848 - 853
• Main Authors: Lei Huang, Zhang, Q T, Cheng, L L
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2011; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; AWGN; Bit error rate; Coding, codes; Criteria; Decoding; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Information theory; Information, signal and communications theory; Iterative decoding; Mathematical models; MDL; Miscellaneous; Philosophy; Probability density function; Receivers; Roots; Signal and communications theory; Signal processing; Signal to noise ratio; Signal, noise; stopping criterion; Systematics; Telecommunications and information theory; turbo decoding; Performance evaluation; Decision support system; Iterative method; Turbo code; Decoding; Subjective evaluation; Hypothesis test; Stopping rule; MDL; MDL criterion; Signal processing; stopping criterion; turbo decoding; Numerical simulation; Signal detection; Signal to noise ratio; Information theory
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2010.2077284

Most existing stopping criteria for turbo decoding have their root in hypothesis test, requiring a subjective threshold for decision making. A consequence is that the turbo decoding receiver so-constructed can converge at high signal-to-noise ratios (SNRs) but fails at low SNRs, thereby calling for a new design philosophy for stopping criteria. In this correspondence, the problem is tackled in the framework of information theoretic criterion, which enables the turbo decoding to properly work in a changing SNR environment. Numerical results are presented for illustrating the good performance of the proposed method.