Title :
Synchronization of turbo codes based on online statistics
Author :
Sun, Jian ; Valenti, Matthew C.
Author_Institution :
Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
Abstract :
Turbo codes are sensitive to both (timing) synchronization errors and signal-to-noise ratio (SNR) mismatch. Since turbo codes are intended to be deployed in environments with very low SNR, conventional synchronization methods often fail. This paper introduces a solution for jointly estimating the SNR and achieving timing synchronization based on the statistics of the received signal. Simulation results show only a small loss in coding gain relative to perfect timing and SNR estimation while requiring only slightly more complexity and latency.
Keywords :
error statistics; synchronisation; turbo codes; SNR estimation; block length; code rate; coding gain; joint estimation; perfect timing; received signal statistics; signal-to-noise ratio mismatch; single turbo decoder; synchronization algorithm; synchronization errors; timing synchronization; turbo codes; AWGN; Additive white noise; Decoding; Gaussian noise; Hardware; Matched filters; Signal to noise ratio; Statistics; Timing; Turbo codes;
Conference_Titel :
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN :
0-7803-7802-4
DOI :
10.1109/ICC.2003.1204481
