SBIR Phase I: Efficient Testing Methodologies for Adaptive Radios

SBIR 第一阶段：自适应无线电的高效测试方法

• 批准号: 1315145
• 负责人: John Carlson
• 金额: $ 15万
• 依托单位: Echo Ridge LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1315145&HistoricalAwards=false
• 关键词: SBIR; Phase; Efficient; Testing; Methodologies

This Small Business Innovation Research (SBIR) Phase I project will perform research toward developing new behavior characterization methodologies that allow adaptive/cognitive radios to be rapidly introduced into the market improving spectrum utilization and therefore broadband access for all. Expected results include a closed loop test fixture design that dynamically creates realistic RF environments in response to measured adaptive system behavior in a laboratory setting, controlled by an efficient adaptive search algorithm. The complexities involved in simulating realistic dynamic RF environments, sufficient to characterize the behavior of adaptive systems, drive the number of testing cases into the hundreds of millions and test time to many years. The adaptive search problem will be solved using globally optimized experimental alternatives and multi-dimensional splitting levels yielding high confidence results and reasonable test times. The project will combine this efficient search adaptive, rare-event approach with the company's unique dynamic RF environment emulation capabilities to create virtual RF environments that support comprehensive hardware-in-the-loop testing. The intellectual merit of the proposed research lies in combining and improving these unique capabilities in the critical application area of adaptive/cognitive radio testing yielding improved spectrum access.The broader impact/commercial potential of this project is acceleration of the deployment of adaptive/cognitive radios, offering the prospect of ubiquitous broadband access to the nation's underserved. Lack of universal broadband access, increasingly essential to daily life, is hurting the U.S. The 2012 PCAST report recommends using adaptive/cognitive radio as a solution to meeting these increased demands with existing spectrum, but acknowledges the lack of robust testing capabilities to ensure non-interfering coexistence with incumbent systems. The challenge of deploying adaptive radio technology is that it cannot be fielded without comprehensive testing, and cannot be tested in a live, densely populated RF system environment for fear of interfering with existing spectrum users. This project will develop a system to efficiently validate adaptive radios in the laboratory with field level fidelity. Efficient, high quality testing offers the potential for quicker deployments at significantly reduced costs. The potential uses for adaptive/cognitive radios include commercial fixed and mobile wireless, ad-hoc network, satellite, aviation, DoD, Intel and public safety with potential revenues of hundreds of millions of dollars. This project may benefit millions of underserved individuals and enhance scientific and technological understanding of adaptive, rare-event search techniques as applied to adaptive/cognitive radios.

这项小型企业创新研究（SBIR）I阶段项目将对开发新的行为表征方法进行研究，以允许自适应/认知无线电快速引入市场，以改善频谱利用率，从而为所有人提供宽带访问。预期的结果包括闭环测试灯具设计，该设计动态创建现实的RF环境，以响应实验室环境中测得的自适应系统行为，并由有效的自适应搜索算法控制。模拟现实的动态RF环境所涉及的复杂性，足以表征自适应系统的行为，将测试案例的数量推动到数亿美元中，并在多年内测试时间。自适应搜索问题将使用全球优化的实验替代方案和多维分裂水平来解决，从而产生较高的置信度结果和合理的测试时间。该项目将将这种有效的搜索自适应，罕见的事件方法与公司独特的动态RF环境仿真功能相结合，以创建虚拟的RF环境，以支持全面的硬件在环境测试中。拟议研究的智力优点在于将这些独特的功能结合起来，在自适应/认知无线电测试的关键应用领域中产生改善的频谱访问。该项目的更广泛的影响/商业潜力是加速自适应/认知能力的部署，从而使宽带宽带访问遍及该国的宽带访问。缺乏通用的宽带访问，对日常生活越来越重要，这是美国2012年PCAST​​报告建议使用自适应/认知无线电作为解决这些增加的需求的方法，以解决现有频谱，但承认缺乏强大的测试能力来确保与现有系统之间的不相互交流。部署自适应无线电技术的挑战在于，如果没有全面的测试，就无法对其进行进行，并且由于担心会干扰现有的频谱用户，因此无法在实时填充的RF系统环境中进行测试。该项目将开发一个系统，以有效地验证实验室中具有场水平忠诚度的自适应收音机。高效，高质量的测试为以大大降低的成本提供了更快的部署的潜力。自适应/认知收音机的潜在用途包括商业固定和移动无线，临时网络，卫星，航空，国防部，英特尔和公共安全，并具有数亿美元的潜在收入。该项目可能会使数百万个服务不足的人受益，并增强对适用于适应性/认知无线电的适应性，罕见搜索技术的科学和技术理解。