SBIR Phase I: Novel Coded High Density Optical Disk Data Storage

本小型企业创新研究（SBIR）第一阶段项目研究高速高密度光盘数据存储的新编码和实现技术。众所周知，传统的光盘存储是基于在光盘（如cd和DVD）上记录和读出二进制数据坑。因此，由于衍射限制，这些凹坑的大小限制了数据存储密度，这些凹坑可以被光学地记录和读出。本研究提出了一种新的编码概念，并使用扩展焦深衍射光学元件，以方便在单个存储坑中记录和读取多位数据。因此可以显著提高数据存储密度。这种新方法可以使用与DVD相同的光学和运动扫描系统，并使用市售的数据记录材料，潜在地达到50 gb /in的存储密度。因此，该技术的发展可以达到其近期的成熟。第一阶段的研究将证明提出的新型磁盘存储概念的可行性。还将演示与现有数据存储技术的兼容性。该研究将基于新的编码概念开发一个简单的概念验证高密度光盘存储原型。这种编码概念的实现可以显著提高磁盘存储密度，用于计算机数据存储、在线存储、图书馆档案应用、医学应用的图像存储和处理以及军事目标识别和快速访问大型智能数据库等商业和军事应用。

This Small Business Innovation Research (SBIR) Phase I project studies a new coding and implementation techniques for high-speed high-density optical disk data storage. It is well known that conventional optical disk storage is based on recording and readout binary data pits in an optical disk such as compact disk and DVD. The data storage density is thus limited by the size of these pits that can be recorded and readout optically due to diffraction limitation. This proposed research explores a new coding concept and uses an extended depth of focus diffractive optical element to facilitate recording and readout many bits of data in a single storage pit. The data storage density can thus be significantly increased. The novel approach can potentially reach 50 Gbits/in storage density using the same optical and motion scanning system as DVD and using a commercially available data recording material. Thus, the technology development can reach its near-term maturity. Phase I research will demonstrate the feasibility of the proposed novel disk storage concept. Compatibility with existing data storage technology will also be demonstrated.The research will develop a simple proof-of-concept high-density optical disk storage prototype based on a new coding concept. Implementation of such coding concept can significantly increase the disk storage density for commercial and military applications such as computer data storage, on-line storage, library archival applications, image storage and processing for medical applications, and military target identification and fast access to large intelligent database.