STTR Phase I: Photonics Enabled Extreme Bandwidth Wireless Communications Spectrum Manager

该小型企业技术转让（STTR）第一阶段项目旨在使用和调整基于光子学的极端带宽RF和微波频谱分析仪作为无线通信系统的实时频谱管理器。 该方法由STTR团队开发的基于空间光谱全息的频谱分析仪实现，该频谱分析仪可以具有40 GHz或更大的瞬时处理带宽，同时保持高光谱分辨率和低延迟（1 ms）输出。 该传感器硬件将应用于无线通信的宽带、实时频谱管理，以便在具有新频谱接入监管模型的环境中运行。 当与低延迟数字处理相结合时，使用诸如现场可编程门阵列之类的专用数字信号处理硬件以及适当的数据库和软件，该系统将允许对所有公共无线通信频带进行连续和同时的监测，以快速分发信道占用数据。 项目活动包括：识别宽带频谱管理所需的物理测量和频谱特征，实现专门的基于计算机的算法以提取该信息用于实时管理，以及研究先进的空间光谱光学信号处理架构，以自动识别无线信号特征，例如超出当前功率谱测量能力的调制格式。该项目的商业潜力包括商业无线通信系统、射频测试和测量、国防信号情报和通信、监管频谱管理以及导航和地理定位应用。 第一个商业影响是能够真实的实时地动态识别和分配未使用的频谱资源，以便最大化无线网络的效率并增加其容量。 空间-频谱传感器技术的大带宽和频率可扩展性可以帮助新兴无线电通信技术在现有频带和新兴频带（例如E频带）中的增长。 此外，该技术还可以帮助政府频谱监管合规执行，这可能有助于改变频谱分配政策。 无线容量的增加将有助于扩大宽带互联网接入，包括扩大到贫困或农村地区，在这些地区，实施光纤线路等有形基础设施的资本成本高得令人望而却步（发展中国家使用移动电话而不是固定电话就是证明）。 除了通信之外，射频监控还有多种应用，从电子防御到导航和地理定位。

This Small Business Technology Transfer (STTR) Phase I project aims to use and adapt a photonics based extreme bandwidth RF and Microwave spectrum analyzer as a real-time spectral manager for wireless communication systems. The approach is enabled by a spatial-spectral holographic based spectrum analyzer developed by the STTR team that can have instantaneous processing bandwidth of 40 GHz or greater while retaining with high spectral resolution and low latency (1 ms) output. This sensor hardware will be applied to wideband, real-time spectral management of wireless communications for operation in environments with new spectral access regulatory models. When combined with low latency digital processing, using specialized digital signal processing hardware such as field programmable gate arrays and appropriate databases and software, the system will allow continuous and simultaneous monitoring of all common wireless communication bands for rapid distribution of channel occupancy data. Project activities include: identifying the physical measurements and spectral signatures needed for wideband spectrum management, implementing specialized computer based algorithms to extract this information for real-time management, and investigating advanced spatial-spectral optical signal processing architectures to automatically recognize wireless signal characteristics such as modulation formats that are beyond the current power spectrum measurement capability.The broader impact/commercial potential of this project includes uses in commercial wireless communication systems, RF test and measurement, defense signal intelligence and communications, regulatory spectrum management, and navigation and geo-location applications. The first commercial impact is to enable dynamic identification and allocation of unused spectral resources in real time, in order to maximize the efficiency and increase the capacity of wireless networks. The large bandwidth and frequency scalability of the spatial-spectral sensor technology could assist the growth of emerging radio communication technologies in existing bands, and in emerging bands such as E-band. Additionally, this technology could assist governmental spectrum regulatory compliance enforcement, which could help to lead to changes in spectrum allocation policy. Increased wireless capacity will help to enhance access to broadband internet access, including to poor or rural areas, where the capital costs of implementing physical infrastructure like fiber optic lines is cost prohibitive (evidenced by the developing world's use of cellular phones over landlines). Beyond communications, RF monitoring has several applications ranging from electronic defense, to navigation and geo-location.