Title :
Block turbo codes for magnetic recording channels
Author :
Song, Hongxin ; Cruz, J.R.
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA
Abstract :
Block turbo codes have been shown to have near-optimum performance and lower decoding complexity than convolutional turbo codes for additive white Gaussian noise (AWGN) channels. In this paper we discuss the applicability of block turbo codes to partial-response (PR) equalized Lorentzian channels for magnetic recording. In particular, we consider the iterative decoding of product codes and parallel concatenated block codes. Simulation results show that both systems offer substantial gains over uncoded systems
Keywords :
block codes; channel coding; concatenated codes; digital magnetic recording; iterative decoding; partial response channels; turbo codes; AWGN channels; additive white Gaussian noise channels; block turbo codes; decoding complexity; iterative decoding; magnetic recording channels; parallel concatenated block codes; partial-response equalized Lorentzian channels; product codes; simulation results; AWGN; Additive white noise; Block codes; Concatenated codes; Convolutional codes; Euclidean distance; Iterative decoding; Magnetic recording; Product codes; Turbo codes;
Conference_Titel :
Communications, 2000. ICC 2000. 2000 IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-6283-7
DOI :
10.1109/ICC.2000.853069
