  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.

Signal Processing