Information Fusion for Wireless Sensor Networks with Integrated UWB Communication and Radar Capabilities (UWB-InFuCoRa)

超宽带（UWB）信号可以用于通信和雷达应用。在本项目中，将研究完全基于UWB技术的传感器节点的无线传感器网络的系统概念。将通信和传感功能集成到一个基于UWB的硬件单元中的方法使紧凑，廉价和节能的传感器节点成为可能，从而满足无线传感器网络的主要要求。作为无线传感器网络的两个主要应用，我们将考虑目标的检测和分类。该项目将从雷达和通信功能的需求分析开始。基于这种分析，联合信令的概念将被导出，它利用两个任务之间的协同效应。一个关键的问题是一个适当的分工联合UWB信道的传感和通信任务。对于这两个任务的性能，多址干扰，这是典型的多用户UWB系统起着重要的作用。为了控制单个传感器节点的性能，我们将提取用于雷达和通信任务的UWB参数。由于紧凑且低复杂度的UWB节点受到功率和通信约束，与目前复杂的雷达系统相比，单个节点的检测和分类性能受到限制。为了获得适当的全局系统性能，我们将分析多个局部检测和分类结果融合成一个可靠的全局决策。信息融合的策略将适用于派生的信令概念，特别是通过考虑通信和雷达信号的共同资源约束。该项目的最终目标是一个分布式雷达系统的检测和分类应用，这是完全基于UWB技术，这是能够提供可扩展的性能与不同数量的传感器节点的理论概念。

Ultra-wideband (UWB) signals can be used both for communication and radar applications. In the present project, system concepts for wireless sensor networks with sensor nodes completely based on UWB technology will be investigated. The approach of integrating communication and sensing functionalities into one UWBbased hardware unit enables compact, cheap and energy-efficient sensor nodes and hence fulfills major requirements of wireless sensor networks. As two primary applications of wireless sensor networks we will consider the detection and classification of targets.The project will start with a requirement analysis for the radar and the communication functionality. Based on this analysis, a joint signaling concept will be derived, which exploits synergetic effects between the two tasks. A crucial issue is an appropriate division of the joint UWB channel into the sensing and the communication task. For the performance of both tasks, multiple access interference, which is typical for multi-user UWB systems plays a significant role. To control the individual sensor node performance we will extract UWB parameters for both the radar and the communication task.Since the compact and low complexity UWB nodes are subject to power and communication constraints, the detection and classification performance of a single node is limited compared to present complex radar systems. To obtain an appropriate global system performance, we will analyze the fusion of multiple local detection and classification results into a reliable global decision. The strategies for information fusion will be adapted to the derived signaling concept, especially by considering common resource constraints for the communication and radar signals. The ultimate goal of the project is a theoretical concept for a distributed radar system for detection and classification applications, which is completely based on UWB technology and which is able to provide scalable performance with varying numbers of sensor nodes.