SBIR Phase I: A Search Engine for Antenna Design

SBIR 第一阶段：天线设计搜索引擎

• 批准号: 0912968
• 负责人: Derek Linden
• 金额: $ 10万
• 依托单位: X5 Systems, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0912968&HistoricalAwards=false
• 关键词: SBIR; Phase; Search; Engine; Antenna

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This Small Business Innovation Research Phase I project seeks to demonstrate feasibility of a software tool employing advanced search algorithms applied to antenna design and optimization. Current methods of designing and optimizing antennas by hand are time and labor intensive, address limited complexity, and require significant expertise. Genetic algorithm (GA) optimization has been shown to find effective antenna design solutions that would not ordinarily be found through engineering intuition. If the current effort is successful, the core of a new software tool to demonstrate the feasibility of a highly-automated design approach, where useful antennas can be generated without requiring significant guidance: the user simply enters design requirements (e.g., RF performance, dimensions, cost), and an automated optimization produces one or more compliant designs will be demonstrated. This approach promises to improve the performance and economics of future antenna applications for many industry and government customers.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。这个小型企业创新研究第一阶段项目旨在证明一种采用先进搜索算法的软件工具应用于天线设计和优化的可行性。目前手工设计和优化天线的方法是时间和劳动密集型的，解决有限的复杂性，并且需要大量的专业知识。遗传算法（GA）优化已被证明可以找到有效的天线设计解决方案，这通常不会通过工程直觉找到。如果目前的努力是成功的，一个新的软件工具的核心是证明高度自动化设计方法的可行性，在这种方法中，有用的天线可以在不需要重要指导的情况下生成：用户只需输入设计要求（例如，射频性能，尺寸，成本），自动优化产生一个或多个兼容的设计将被证明。这种方法有望为许多工业和政府客户改善未来天线应用的性能和经济性。