Fabrication of a New Type Doppler Current Profiler

这个海洋科学仪器开发项目是斯克里普斯海洋研究所和斯特拉扎分部阿马泰克公司的合作成果。该项目的目标是开发、建造和测试用于声学多普勒海流剖面的新的硬件和软件系统。它将涉及对安装在许多商船和科考船上的现有阿马泰克多普勒测速仪进行修改。新系统将利用大规模集成电路芯片技术的进步，为IBM AT兼容计算机提供新的外围卡和软件，所有开发的软件将可供用户使用。所获得的知识将属于公有领域。阿马泰克将提供一个多普勒接收器链模块板和两个数字信号处理板。Scripps人员将监督软件开发、最佳信号处理算法的选择和文档手册的准备。声学多普勒流剖面仪已成为推算船舶航道下水运动和循环的重要工具。对于学术研究人员来说，这些设备相对较新，但它们代表了科学家研究海洋环流能力的重大进步。信号处理电子学和多普勒声纳理论仍在快速发展，人们认为，目前大多数面向研究的商业系统落后于可获得的技术。此外，由于对硬件和软件的访问受限，科学家无法修改信号处理算法以最大限度地利用可用的数据。该项目的成功完成将进一步提高科学家使用这项新技术的能力。

This Ocean Sciences Instrumentation development project is a collaborative effort between Scripps Institution of Oceanography and Amatek Corporation, Straza Division. The project's goal is to develop, build and test a new system of hardware and software for acoustic Doppler current profiling. It will involve modifi- cations to existing Amatek Doppler speed logs that are installed on numerous commercial ships and research vessels. The new system will make use of advances in LSI chip technology, the availability of new peripheral cards and software for IBM AT compatible computers and all developed software will be access- ible to the user. Knowledge gained will be in the public domain. Amatek will provide a Doppler receiver chain module board and two digital signal processing boards. Scripps personnel will oversee software development, the selection of optimal signal processing algorithms, and preparation of documentation manuals. Acoustic Doppler Current Profilers have become important tools to derive the movement and circulation of water under a ship's path. These devices are relatively new to academic researchers, but represent a major advance in scientists' ability to study ocean circulation. Rapid advances are still being made in signal processing electronics and Doppler sonar theory and it is suggested that most research-oriented, commercial systems now available, lag behind procurable technology. Also, restricted access to hardware and software preclude the scientist from being being able to modify signal processing algorithms to make best use of available data. Successful completion of this project will further scientists' ability to use this new technology.