Kankhunthod, Kittipon

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Kankhunthod, Kittipon
Alternative Name
Kankhunthod, K.
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Email
kittipon.ka@kmitl.ac.th

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    Item type:Publication,
    Track Misregistration Estimation Technique Based on Hybrid K-Means and EM Algorithm in Bit-Patterned Media Recording Systems
    (2025-01-01)
    Kochcha, Pijit
    ;
    Kankhunthod, Kittipon
    ;
    Warisarn, Chanon
    Track misregistration (TMR) in ultrahigh density bit-patterned media recording (BPMR) is a significant issue, severely degrading system performance. Although TMR can be managed by a servo control loop, this article proposes a hybrid TMR mitigation method based on K-means and expectation-maximization (EM) algorithms to enhance TMR prediction accuracy and improve bit-error-rate (BER) in multihead/multitrack BPMR systems. This method utilizes 2-D equalizer and 1-D generalized partial response (GPR) target coefficients for the soft-output Viterbi algorithm (SOVA) detector according to the estimated TMR level to mitigate this effect. Simulation results demonstrate that the proposed system significantly outperforms conventional systems, especially under high TMR conditions. The hybrid approach achieves high TMR estimation accuracy and delivers BER performance close to an ideal system with perfect TMR estimation, showing up to a 1.25 dB improvement in BER over systems without TMR mitigation. These findings underscore the effectiveness of the hybrid K-means-EM-based TMR estimator in enhancing system performance under various conditions.
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    Item type:Publication,
    Mitigating Track Misregistration Using the DBSCAN Algorithm for Single-Reader/Two-Track Reading in Shingled Magnetic Recording Systems
    (2026-01-01)
    Kochcha, Pijit
    ;
    Kankhunthod, Kittipon
    ;
    Warisarn, Chanon
    Shingled magnetic recording (SMR) systems can effectively reduce track width using the shingled writing technique, resulting in significantly higher areal density than conventional magnetic recording. However, track misregistration (TMR) still frequently occurs, leading to read errors and reduced signal processing performance. To address this, we propose a method for estimating TMR levels for single-reader/two-track reading in the SMR system using a density-based spatial clustering of applications with noise (DBSCAN) algorithm. Furthermore, we also present a mitigation method for TMR effects using the DBSCAN algorithm. In the TMR-level estimation process, the equalized signal from the first equalizer is fed into the first DBSCAN algorithm. The estimated TMR level is then used to select the appropriate equalizer to equalize the readback signal. Finally, the DBSCAN-based detector is used to detect the equalized signal. Simulation results at an areal density of 2 Tb/in<sup>2</sup> demonstrate that our proposed method can accurately predict TMR levels, effectively mitigate TMR effects, and improve overall recording performance in terms of bit-error rate.