Loading...
Study of Detectors with Noise Predictor for High Areal Density BPMR Systems
Author(s)
Date Issued
April 10, 2019
Type
Conference Paper
Abstract
In this paper, we study the performance of Viterbi detectors embedded with noise predictor for the 2-D interference channel of high areal density bit patterned media recording (BPMR) system. After the readback signal is processed by a equalizer, the received signal at the input of detector is corrupted by the colored/correlated noise. Therefore, the noise whitening process using a noise predictor is required to improve the performance of the detector. When the noise predictor is incorporated into the detector, it needs to extend the structure of trellis in the detector. For the 2-D interference channel of BPMR system, the complexity of the detector will grow beyond the practical level. Therefore, we design a detector embedded by a noise prediction technique without extending the trellis. In the proposed technique, the most likely noise samples generated from the branch metric calculation are stored along the surviving path of the trellis in Viterbi algorithm. The proposed technique requires less number of memory and arithmetic operations at each state of the trellis compared to conventional technique. We consider both finite impulse response (FIR) filter and infinite impulse response (IIR) filter for the noise prediction filter. The simulation results show that the proposed noise prediction can improve the performance of detector, especially for the high areal density at 4 Tbit/in2.
Citation
2019 11th International Conference on Knowledge and Smart Technology Kst 2019, 111-115, 2019