High recording density hard disk channel equalization using a bilinear recursive polynomial model

In order to improve the performance and simplify the structure of the conventional detectors in high density magnetic channels, a new equalizer based on bilinear recursive polynomial models, which uses the previously estimated sequence, is proposed. The performance is compared with the conventional equalizers and the maximum likelihood sequential detection bound. The simulation results show that as the normalized recording density becomes higher the proposed equalizer with much simpler structures shows the similar or better performances compared to the partial response maximum likelihood methods and the proposed equalizer is robust to the jitter noise.