Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers

TL;DR

Jam-Guard is a low-cost, hand-held device designed for first responders to rapidly detect and localize radio frequency interference, significantly improving detection accuracy over traditional methods in real-world scenarios.

Contribution

This work introduces a novel, computationally feasible RFI detection and localization device combining Kurtosis, FRFT, and Golden Section Search, outperforming conventional energy detection methods.

Findings

40 dB improvement in detection probability

Effective real-time detection and localization in field tests

Prototype demonstrates low SWaC suitable for first responders

Abstract

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.