Noise Predictive Multi-Track Joint Viterbi Detector Using Infinite Impulse Response Filter in BPMR's Multi-Track Read Channel

摘要

For multi-track read channel of high areal density magnetic recording systems, two-dimensional (2-D) equalizer is normally considered to shape the readback signal to the desired 2-D generalized partial response (GPR) target. However, the equalizer can correlate the additive noise in the signal and the noise can become the correlated/colored noise which will have a negative impact on the performance of the detector. In the literature, a noise predictive detector using a linear noise predictor (a finite impulse response (FIR) filter) is proposed to tackle the performance loss due to the color/correlated noise. Integrating noise prediction into a detector can grow the complexity of the detector depending on the number of taps in the FIR filter. Alternatively, the noise predictor can also be implemented using an infinite impulse response (IIR) filter. Moreover, IIR predictor can provide the performance gain without requiring a large number of filter's taps. Therefore, in this paper, we study the performance of a noise predictive multi-track joint detector using an IIR filter for the multi-track read channel of high areal density bit-patterned media recording (BPMR) systems. We evaluate its performance against with the multi-track joint detectors with and without conventional noise predictors using FIR filter.