论文标题
部分可观测时空混沌系统的无模型预测
Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers
论文作者
论文摘要
有意和无意的干扰共同称为射频干扰（RFI），导致对公共安全，急救人员紧急救援和军事任务的严重安全威胁。这样的RFI如果未检测到并且本地化可能会破坏构成急救人员和军事行动的骨干的无线通信。这项工作的主要目的是设计和原型RFI检测和本地化设备，即JAM-GUARD，它在现实生活部署中的表现大大优于传统方法，但在计算上可行，可以作为低SWAC（尺寸，重量和成本）设备开发。提出的设备采用了基于峰度和分数傅立叶变换（FRFT）以及金段搜索算法的稳健平行检测算法的独特组合，以快速检测影响关键通信信号的RFI。 The localization scheme is designed to leverage the FRFT output from the detection phase to ease the computational load. We give a detailed account of the device prototyping and evaluation.为了证明所提出的检测方法的功效，而不是常规能量检测（在几个商业干扰探测器中使用），我们比较了测试和目标平台上的两个方案。拟议的方案表明了初步实施和目标原型实验的检测概率的显着改善（〜40 dB）。
Intentional and unintentional interferences collectively referred to as Radio Frequency Interference (RFI) result in severe security threat to the public safety, first responder emergency rescue and military missions. Such RFI if not detected and localized can disrupt the wireless communication which forms the backbone of first responder and military operations. The prime objective of this work was to design and prototype a RFI detection and localization device, Jam-Guard that significantly outperforms traditional approaches in real-life deployment yet be computationally feasible to be developed as a low SWaC (size, weight, and cost) device. The proposed device employs a unique combination of robust parallel detection algorithms based on Kurtosis and FRactional Fourier Transform (FRFT) with Golden Section Search algorithm to rapidly detect RFI that affects critical communication signals. The localization scheme is designed to leverage the FRFT output from the detection phase to ease the computational load. We give a detailed account of the device prototyping and evaluation. To demonstrate the efficacy of the proposed detection approach as opposed to conventional energy detection (employed in several commercial interference detectors), we compare the two schemes on test and target platforms. The proposed scheme depicted significant improvement (~40 dB) in detection probability both in preliminary implementation and target prototype experiments.
