Optimizing sensing in spectrally crowded RF enrivonments

本提案提出了一项研究计划，以发展所需的理论和方法，以便在频谱拥挤的环境中有效地感知和通信。从事这项工作的动机来自无线通信频谱分配的不断增长，这一趋势使雷达传感越来越困难。该提案侧重于在未来五年内探索的四个主题：*******1。频谱拥挤环境中的半分布式检测：在频谱拥挤环境中，单个传感器是不可靠的，多个地理上分布的传感器必须协调它们的决策。一个重要的问题是如何将具有挑战性的通信环境与传感相结合。该方案从理论（如如何处理接收到的数据）和算法（如如何压缩数据以匹配不确定的通信信道）两方面进行了规划。我们的模型的一个关键特征将是接收由测量同一区域的传感器实际情况产生的相关数据。*******2。波形设计：我们的第二个主题是波形的优化设计，以适应频谱孔-同时满足幅度和峰值平均功率的限制。关键是实时设计波形，避免动态频谱的使用。这些波形加上正交频分多址将允许同时传感和通信。理论问题将是可行性和设计多个正交波形。*******3。联合传感和通信：在频谱拒绝的环境中，雷达信号的参数可以被调制以实现通信。然而，这影响了传感能力；我们将探讨两者之间的最优权衡。这个问题的另一个方面是使用环境信号作为机会的照明器来执行雷达任务，而不需要主动传输。我们将探索同步的关键问题，并开发降阶自适应信号处理技术，以利用所有可用的照明源。*******4。特定于应用程序的设计：应用程序具有必须满足的特定约束。最佳使用方法在很大程度上取决于对频谱使用方式的了解；我们将重点关注两个具有理论和实践重要性的应用：城市传感和沿海环境传感。*******这个建议代表了我研究议程中的一个新的推动力；它结合了我做出最重要研究贡献的领域：我在开发无线网络和雷达系统的理论和算法方面的工作为我提供了解决日益重要的问题的独特背景。******

This proposal lays out a research program to develop the required theory, and approaches, for effective sensing and communications in spectrally-crowded environments. The motivation for pursuing this work comes from the growing allocation of spectrum for wireless communications, a trend that is making radar sensing increasingly difficult. The proposal focuses on four themes to be explored within the next 5 years.*******1. Semi-distributed Detection in Spectrally-Crowded Environments: In spectrally-crowded environments, a single sensor is unreliable and multiple, geographically distributed sensors must coordinate their decisions. An important issue is how to incorporate the challenging communication environment with the sensing. The proposal lays out plans in both theoretical (e.g., how to process data received) and algorithmic (e.g., how to compress data to match the uncertain communication channel). A key feature of our model will be the receiving of correlated data arising from the practical case of sensors surveying the same region.*******2. Waveform design: Our second theme is the optimal design of waveforms to fit within spectral holes - while meeting amplitude and peak-to-average power constraints. The key is designing the waveforms in real-time to avoid dynamic spectral usage. These waveforms coupled with orthogonal frequency division multiple access would allow for simultaneous sensing and communications. The theoretical questions will be that of feasibility and the design of multiple, orthogonal, waveforms.*******3. Joint sensing and communication: In spectrally-denied environments, parameters of the radar signal can be modulated to enable communications. However, this impacts the sensing capabilities; we will explore the optimal trade-off between the two. Another aspect of this problem is the use of ambient signals as illuminators of opportunity to execute the radar task without active transmissions. We will explore the crucial issue of synchronization and develop reduced-rank adaptive signal processing techniques to exploit all available illumination sources.*******4. Application specific designs: Applications have specific constraints that must be met. The best approach to use is heavily dependent on what is known of how the spectrum is being used; we will focus on two applications of theoretical and practical importance: urban sensing and sensing in littoral environments.*******This proposal represents a new thrust in my research agenda; it combines the fields in which I have made my most significant research contributions: my work in developing theory and algorithms for wireless networks and radar systems provides me with a unique background to address a problem of growing importance.******