本論文旨在改善全像儲存系統於多工記錄過程中所面臨的問題。傳統全像儲存系統多採用角度與波長等多工技術以提升儲存容量，但隨著記錄頁數的增加，繞射效率會以平方倍顯著下降，進而影響系統之讀取速度與整體容量。為解決此問題，本研究使用了一種創新的全像儲存系統架構，藉由改變記錄與讀取方式，有效緩解多頁記錄時繞射效率衰減的情形，並降低對讀取位置高精度對準的需求。 本論文進一步提升全像儲存系統可記錄之資訊數量，透過多組訊號在同一區域內進行同步記錄與同步讀取，增進系統的儲存量以及讀取速度。藉由基因演算法計算出各訊號點的初始相位值，有效解決訊號點數量增加所導致能量分布不均的問題，進而提升記錄與讀取的品質。使用正弦相位訊號的編碼形式，相較於脈衝訊號，在減少記錄頁數的同時，仍能維持相同的資訊量，間接提升了儲存容量。此外，正弦相位訊號也提升讀取時的訊號辨別度與準確性，並使用不同於脈衝訊號所使用的計算分析方法，使所有訊號能同時進行分析，進一步提升系統的讀取速度。綜合而言，本論文對全像儲存系統的整體效能進行了全面性的優化。 ;This thesis aims to improve the performance of holographic data storage systems, particularly addressing the issue of diffraction efficiency reduction in multiplexed recording. Traditional systems often use angular and wavelength multiplexing to increase storage capacity, but as the number of recorded pages increases, diffraction efficiency decreases quadratically, limiting readout speed and overall capacity. To resolve this, an innovative system architecture is proposed by modifying the recording and readout methods, effectively reducing diffraction loss and relaxing the need for precise alignment during readout. This thesis further enhances the amount of information that can be recorded in the holographic storage system by enabling multiple signal groups to be synchronously recorded and read within the same area, thereby increasing the system’s storage capacity and reading speed. By employing a genetic algorithm to calculate the initial phase values of each signal point, the issue of uneven energy distribution caused by an increased number of signal points is effectively resolved, thus improving the quality of both recording and reading. The use of sinusoidal phase signals as the encoding format, compared to pulse signals, allows for a reduction in the number of recording pages while maintaining the same amount of information, thereby indirectly increasing the storage capacity. In addition, sinusoidal phase signals enhance the distinguishability and accuracy of the readout signals and utilize a different analytical method from that used for pulse signals, enabling simultaneous analysis of all signals and further improving the system’s reading speed. In summary, this thesis implements a comprehensive optimization of the overall performance of the holographic storage system.
