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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Now showing 1 - 6 of 6
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    Item type:Publication,
    Track Mis-registration Correction Method in Two-Head Two-Track BPMR Systems
    (2020-06-01)
    Kankhunthod, Kittipon
    ;
    Busyatras, Wiparat
    ;
    Warisarn, Chanon
    One of the main problems in a Bit-patterned media recording (BPMR) system at an ultra-high areal density is the effect of track mis-registration (TMR), which can severely degrade the system's performance. Practically, the TMR effect is controlled by the servo system. That requires some areas of record to store redundancy bits. In this paper, we propose a simple linear energy ratio finding (SLERF) technique using only the two readback signals for estimating the TMR level in two- head/two-track (2H2T) BPMR systems, which unrequired the extravagant redundancy bits. Next, we utilize the appropriate equalizers, which are accordingly designed with the estimated TMR levels, to correct the TMR effect. Moreover, we also propose a soft-information adjustment (SIA) technique that operates after obtaining the soft-information from the two-dimensional soft-output Viterbi algorithm (2D-SOVA) detectors in order to improve the bit error rate (BER) performance of recording systems. Computer simulation reveals that the SLERF and SIA techniques can impressively estimate the TMR levels and further effectively correct the TMR effect as well, respectively. Therefore, it leads to obtaining better BER performance in particular where the system is impaired by position jitter noise.
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    Multilayer Perceptron-Based Soft-Information Modification Technique for Double-Layer Bit-Patterned Magnetic Recording Systems
    (2024-01-01)
    Sawangarom, Visawa
    ;
    Kankhunthod, Kittipon
    ;
    Warisarn, Chanon
    The growing demand for data storage necessitates continuous improvements in hard disk drive (HDD) technologies. Double-layer magnetic recording (DLMR) and bit-patterned magnetic recording (BPMR) technologies are pivotal in enhancing areal density (AD), but they also introduce challenges such as inter-layer interference (ILl) and two-dimensional (2D) inter-ference. This study addresses these challenges by integrating a multilayer perceptron (MLP)-based soft-information modifier into the double-layer BPMR system. The proposed method optimizes the log-likelihood ratio sequence for the recorded tracks on the second recording layer, which are more prone to interference compared with the first recording layer. Our simulations demonstrate significant improvements in bit-error-rate performance across varying levels of media noise and track misregistration. The results also indicate that the MLP-based approach effectively mitigates the adverse effects of interference, thereby enhancing the reliability of data retrieval in high-AD HDD systems.
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    Study performance of near-field HF antenna using undercover ferrite sheet
    (2017-10-19)
    Kankhunthod, Kittipon
    ;
    Pakasiri, Chatrpol
    A planar loop antennas with and without undercover ferrite are studied in this paper. The field simulated results show that the antenna with undercover ferrite provides more magnetic flux density at the same distance away from it. Using a receiving loop antenna in the simulation, the power gain of both transmitting antennas is compared. By using proper matching networks, the planar loop antenna with undercover ferrite provides a better power gain than that of the planar loop antenna.
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    A Multilayer-Perceptron based Method for Track Misregistration Mitigation in Dual-reader/Two-track Reading BPMR Systems
    (2022-01-01)
    Kankhunthod, Kittipon
    ;
    Lee, Jaejin
    ;
    Warisarn, Chanon
    Bit-patterned magnetic recording (BPMR) is the future hard disk drive technology that is expected to gain an areal density of over 4.0 Terabit-per-square-inch (Tbits/in2). However, one of the serious problems is track misregistration (TMR), which easily degrade the overall system's performance. To ensure that the system's performance is acceptable; therefore, we present the TMR mitigation method on a dual-reader/two-track reading (DRTR) BPMR system using an artificial neural network (ANN) model and deep learning technique. To estimate TMR levels, the equalized readback signals are directly fed into a proposed TMR estimator that is performed based on a multilayer perceptron (MLP). In the TMR correction process, both the estimated TMR and equalized readback signals are fed to the MLP detector to detect recorded data bits. The simulation results reveal that the utilization of our proposed TMR mitigation method can improve the bit-error-rate performance of the BPMR system when they were compared with the system that uses another mitigation method.
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    Improvement of HF RFID reader performance under metallic environment using ferrite sheet
    (2017-12-19)
    Kankhunthod, Kittipon
    ;
    Lekawat, Lertsak
    ;
    Pakasiri, Charpol
    Conventional loop antennas for RFID reader usually perform worse with metallic environment. To improve reading range under this condition, a ferrite sheet is incorporated in the conventional loop antenna. The proposed antenna yields similar reading range with or without metallic environment.
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    Multilayer Perceptron-based Skew-Angle Estimation for Bit-Patterned Magnetic Recording
    (2021-06-27)
    Kankhunthod, K.
    ;
    Warisam, C.
    ;
    Koonkarnkhai, S.
    ;
    Kovintavewat, P.
    Bit-patterned magnetic recording (BPMR) is the potential future recording technology that can increase an areal density (AD) of hard disk drives over 1 terabit per square inch (Tbit/in2). Several challenging problems are causing the reduction of a recording system's performance. One of them is a skew angle effect that is depended on the reading and writing position of a reader on a platter. Therefore, this paper proposes the skew-angle (SA) estimation method based on multilayer perceptron using readback signals. The accuracy percentage of the proposed SA estimation method provides above 80% when it was investigated under medium-high signal-to-noise ratio levels.