SBIR Phase I: Broadband High-Speed RF Spectrum Processor via Intelligent Adaptive Compressive Sensing and Parallel Processing FPGAs

SBIR 第一阶段：通过智能自适应压缩感知和并行处理 FPGA 的宽带高速射频频谱处理器

• 批准号: 1345510
• 负责人: David Mycue
• 金额: $ 15万
• 依托单位: Kalos Technologies, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1345510&HistoricalAwards=false
• 关键词: SBIR; Phase; Broadband; Speed; RF

This Small Business Innovation Research (SBIR) Phase I project aims to study and demonstrate the feasibility of an innovative broadband, high-speed digital radio frequency (RF) spectrum processor for cognitive radio frequency and dynamic spectrum access network research and development via intelligent adaptive compressive sensing and parallel processing FPGAs. With recent advances in cognitive radio frequency technologies, there is a strong need for new wireless test, measurement and validation equipment with novel capabilities that are not available in current products. The research objective is to develop a spectrum processor that can perform real-time RF spectrum analysis on digitized data streams with ultra-wide bandwidth and has the capability of operating for cognitive radio frequency and dynamic spectrum access systems. Specifically, it takes advantage of the intelligent adaptive compressive sensing technology to significantly reduce the computational load while preserving the fidelity of spectrum analysis. Anticipated technical results include wide instantaneous bandwidth, integration of spectrum analysis and intelligent RF sensing, real time analysis capability, preliminary RF testing and demonstration.The broader impact/commercial potential of this project is the development of a commercial broadband, high-speed digital radio frequency spectrum processor that will be used in academic, military, homeland security and industrial research laboratories worldwide with applications spanning the wireless communication, radio and television, GPS and other navigation systems. The success of this project will provide novel features to existing products in the market and has the commercial potential is substantial. The development of this technology has also important societal implications due to the wide range of scientific and industrial topics that this technology can be applied.

该小型企业创新研究（SBIR）第一阶段项目旨在研究和展示创新的宽带，高速数字射频（RF）频谱处理器的可行性，用于认知射频和动态频谱接入网络的研究和开发，通过智能自适应压缩感知和并行处理FPGA。随着认知无线电频率技术的最新进展，人们迫切需要具有当前产品所不具备的新功能的新型无线测试、测量和验证设备。研究目标是开发一种频谱处理器，能够对超宽带数字化数据流进行实时RF频谱分析，并具有认知射频和动态频谱接入系统的能力。具体而言，它利用智能自适应压缩感知技术，在保持频谱分析保真度的同时，显著降低了计算负荷。预期的技术成果包括宽瞬时带宽、频谱分析和智能射频感测的集成、真实的时间分析能力、初步射频测试和演示。该项目更广泛的影响/商业潜力是开发商业宽带、高速数字射频频谱处理器，该处理器将用于学术、军事、全球的国土安全和工业研究实验室，应用范围涵盖无线通信、无线电和电视、GPS和其他导航系统。该项目的成功将为市场上现有的产品提供新的功能，并具有巨大的商业潜力。由于该技术可以应用于广泛的科学和工业主题，该技术的发展也具有重要的社会影响。