Data Storage Controller Signal Synchronization Calibration

The patent applies preliminary action by performing phase calibration of compensation signals before actual write operations. The system pre-determines the optimal phase shift values and stores them in a lookup table, so that during recording operations, the pre-calibrated phase information is directly applied without real-time calculation, thus improving recording speed while managing synchronization complexity.

The patent changes the phase parameter of compensation signals to achieve synchronization with data signals. By adjusting the phase shift values of compensation signals across multiple channels and comparing them with reference signals, the system optimizes the phase parameters to improve recording reliability without significantly increasing operational complexity.

The system performs phase calibration in advance before production recording operations and stores the calibrated phase information in a lookup table. This preliminary calibration approach achieves high edge synchronization accuracy while minimizing the time lost during actual recording operations, as the calibration results are reused without repeated calibration.

The patent uses a lookup table to store pre-calibrated phase shift values that can be quickly copied and applied during recording operations. Instead of performing complex real-time calibration, the system copies pre-determined phase values from the lookup table based on the specific recording conditions, achieving high synchronization accuracy with minimal time penalty.

The patent segments the phase calibration process into multiple discrete predetermined phase shift steps. By dividing the continuous phase adjustment into discrete segments (e.g., testing phase shifts of 0°, 45°, 90°, 135°), the system simplifies the measurement process while still achieving high synchronization accuracy through systematic comparison of segmented phase options.

The system systematically changes the phase parameter through a set of predetermined discrete values rather than continuous adjustment. This parameter change approach transforms a complex continuous optimization problem into a manageable discrete selection process, where the optimal phase shift is identified by comparing a finite set of predetermined phase options against reference signals.