Collaborative Research: NSWP--Scintillation-Scale Ionospheric Imaging using GPS and other RF Data in Inverse Diffraction Algorithms

该项目将通过开发和应用从闪烁GPS无线电信号记录的数据估计算法来推断赤道电离层的精细尺度电子密度变化。由此产生的电子密度分布图将提供气泡结构的图像，这些气泡结构被认为是导致射频闪烁和赤道扩散f现象的原因。该项目将包括算法开发、数据收集活动和数据分析。待开发的算法将执行衍射层析成像计算；输入数据从经历闪烁的接收器阵列接收射频（RF）信号的幅度和相位。该算法将通过开发和应用模型估计/反演技术来估计电子密度分布，例如具有菲涅耳前向散射的相位屏。估计技术将利用双频GPS闪烁数据的可用性，由于新的民用GPS L2信号现在可用，可以对其进行监测。他们还将利用GPS进行群延迟测量；在使用这些数据之前，将开发一个模型，预测电离层扰动对群延迟的影响。该算法将应用于两种类型的赤道闪烁收集活动的数据。一种类型的战役将使用宽带数字存储接收器的小型阵列和MATLAB后处理来收集数据，以获取和跟踪闪烁信号。第二种类型将使用一个中等大小的实时GPS软件无线电接收器阵列。一些工作将用于完成后一种接收器的开发。这个项目的两个显著特点是它使用了非常强大的接收器技术，这将能够收集非常精确的射频振幅和相位数据，用于非常强的闪烁，以及它的广义估计/反演算法的发展。这些算法在使用多频数据、问题公式以及基于优化或不动点方法的算法实现方面超越了当前现有或提出的算法的能力。该项目侧重于非常强的闪烁，因为从操作的角度来看，这些闪烁是最重要的，因为它们对通信和导航信号的影响最大。该项目的更广泛影响包括开发可用于教育和研究的仪器，以及提高对闪烁的理解，从而提高通信和导航系统的可靠性。

This project will infer fine-scale electron density variations of the equatorial ionosphere by developing and applying estimation algorithms to data recorded from scintillating GPS radio signals. The resulting electron density profiles will provide images of the bubble structures that are thought to cause the phenomena of radio frequency scintillations and equatorial spread-F. The project will include algorithm development, data collection campaigns, and data analysis. The algorithms to be developed will perform diffraction tomography calculations; the input data are received Radio Frequency (RF) signal amplitudes and phases from an array of receivers that are experiencing scintillations. The algorithms will estimate electron density profiles by developing and applying model estimation/inversion techniques to models such as a phase screen with Fresnel forward scattering. The estimation techniques will exploit the availability of dual-frequency GPS scintillation data that can be monitored because of new civilian GPS L2 signals now becoming available. They will also exploit the ability of GPS to make group-delay measurements; use of these data will follow development of a model predicting how group delay is affected by a disturbed ionosphere. The algorithms will be applied to data from two types of equatorial scintillation collection campaigns. One type of campaign will collect data using small arrays of wide-band digital storage receivers and MATLAB post-processing to acquire and track scintillating signals. The second type will use a medium sized array of real-time GPS software radio receivers. Some of the effort will go toward completing development of the latter type of receiver. Two distinctive features of this project are its use of very robust receiver technology, which will enable collection of very accurate RF amplitude and phase data for very strong scintillations and its development of generalized estimation/inversion algorithms. These algorithms that go beyond the capabilities of currently existing or proposed algorithms in their use of multi-frequency data, in their problem formulations, and in their algorithmic implementation based on optimization or fixed-point methods. The project focuses on very strong scintillations since these are the most important from an operational standpoint since they have the biggest impact on communications and navigation signals. The project's broader impacts include the development of instruments that can be used in education as well as in research and the improved communication and navigation system reliability that will result from an improved understanding of scintillations.