SBIR Phase IB: A Search Engine for Antenna Design

SBIR Phase IB：天线设计搜索引擎

• 批准号: 1003577
• 负责人: Derek Linden
• 金额: $ 2万
• 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: 2010
• 资助国家: 美国
• 起止时间: 2010-01-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1003577&HistoricalAwards=false
• 关键词: SBIR; Phase; IB; Search; Engine

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.

这个小企业创新研究第一阶段项目旨在证明采用先进的搜索算法应用于天线设计和优化的软件工具的可行性。目前手工设计和优化天线的方法耗时耗力，复杂性有限，并且需要大量专业知识。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，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，以证明一个高度自动化的设计方法的可行性，其中有用的天线可以生成，而不需要显着的指导：用户只需输入设计要求（例如，射频性能，尺寸，成本），并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提高未来天线应用的性能和经济性。