A Simple Inter-Track Interference Subtraction Technique in Bit-Patterned Media Recording (BPMR) Systems

Estimating Interference with a Two-Dimensional Viterbi Algorithm for Bit-Patterned Media Recording

“…In our proposed model, we used the 2D VA, which gives a more specific rule to predict the ITI (or ISI). Thus, the proposed model achieves better optimization compared to the models in [25,28].…”

“…Thus, it preserves the noise information better than the serial soft output, which estimates noise information by using the feedback from the hard output. Finally, with the ITI subtraction technique [25] and estimation with a neural network [28], a general filter to estimate the ITI. For ITI subtraction technique, the authors used one-layered filter to predict the ITI.…”

“…Because the VA is used to remove 1D interference, the above detection algorithms are modifications of the VA to handle 2D interference. Thus, we can use the estimator to convert 2D interference into 1D interference and apply the conventional VA. For ITI estimation, Buajong and Warisarn used a GPR target to create feedback for a multitrack, multihead system to estimate ITI [25]. To remove the ITI effect from the desired track, an ITI cancellation model using the feedback of sidetrack information was proposed by Koonkarnkhai, Warisarn, and Kovintavewat [26].…”

One-Dimensional Detection Using Interference Estimation by Multilayered Two-Dimensional General Partial Response Targets for Bit-Patterned Media Recording Systems

“…In the detection of this GPR target, ITI information is supplied to convert the 2D detection into 1D detection with the same performance and reduced complexity. The proposed scheme extracts the ITI information supplied from multiple GPR targets instead of exploiting multi-head multitrack to subtract the ITI, as in [12,[26][27][28][29]. The proposed model exploits multiple layers of GPR targets to estimate each layer of original data.…”