Detection and Localization Algorithm for Jamming Signal in GNSS and Military Networks

Abstract

Recently, wireless communication technology has been growing rapidly in many ways such as autonomous car, internet of things (IoT), and 5G. However, the broadcast-based communication has made wireless networks vulnerable to interference. An intentional interference signal called jamming signal can cause serious damage in wireless networks. Therefore, the jamming signal has to be detected and localized to avoid and prevent critical damages in GNSS system and military networks, especially. In the future network centric warfare environment, all combat elements are connected to one network in real time and are exposed to a variety of threats. In order to accurately transmit information and maintain the stability of the communication network in such environments, it is essential to detect and localize jamming signals.

Energy detection is the most simple and popular spectrum sensing technique. It is the signal detection mechanism using energy spectra of the received signal. Then, the received signal is compared with a threshold to detect the presence of the signal. It does not require any prior information about the primary user. In order to improve the detection performance of the jamming signal, we proposed a cooperative multiband joint jamming detection algorithm based on energy detection. The multiband joint detector takes into account the detection of jamming signals over multiple frequency bands. It detects the jamming signal by dividing the bandwidth in a constant interval. The proposed approach improves the probability of detection compared to the conventional energy detection over on one band at a time.

The problem of joint distributed quickest detection and localization is investigated for finding and localizing the jammer as quickly as possible in wireless sensor networks. We proposed a framework using quickest detection with cumulative sum (CUSUM) test which is well-known to be optimal for a non-Bayesian statistical change-point detection formulation. In the assumed model, distributed sensors are considered to be monitoring a system in which an abrupt change caused by a jamming signal occurs at some unknown time. Based on these models, time difference of arrival localization with detection times at each sensors algorithm is presented and the performance of the proposed method is evaluated.

Finally, the experiments about the localization system based on ultra-wideband (UWB) sensors using drones are performed. UWB are signals which occupies a wide bandwidth, at least 375 MHz, and have a high center frequency. The single sided two way ranging (TWR) and double sided TWR algoritms are used to localize drones and the performances are evaluated.