Abstract
This work proposes the nonlinear detection scheme using an adaptive neuro-fuzzy equalizer (NFE) for the nonlinear perpendicular magnetic recording (PMR) channels. Based on a Volterra model of PMR channels at high normalized recording density, the proposed NFE is derived in order to improve the system performance. The bit error rate (BER) performance of the proposed NFE is compared with that of the existing equalizer, i.e., multilayered perceptron neural network equalizer (MLPNNE) and fuzzy logic equalizer (FLE). At the normalized recording density of 3, the proposed NFE outperforms the others by 1 to 4 dB SNR gains.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
