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Performance of the Recursive Systematic Convolutional Code with Turbo-Equalization Method for PMR Channel  

Park, Dong-Hyuk (숭실대학교 정보통신전자공학부 정보저장 및 통신연구실)
Lee, Jae-Jin (숭실대학교 정보통신전자공학부 정보저장 및 통신연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.1C, 2009 , pp. 15-20 More about this Journal
Abstract
For perpendicular magnetic recording (PMR) channels, noise-predictive maximum likelihood (NPML) detection method has been used. But, it is hard to expect improving the performance when the bit density is increased. Hence, we exploit the coding methods which has good performance. In this paper, we show the performance of the recursive systematic convolutional (RSC) codes with turbo-equalization method with different channel bit densities. The noise model is 80% jitter noise and 20% AWGN.
Keywords
Turbo-Equalization; Recursive Systematic Convolutional (RSC) Code; PMR; channel iteration; iterative decoding;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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