Feasibility Study of UAV-Assisted Anti-Jamming Positioning

Abstract

As the cost and technical difficulty of jamming devices continue to decrease, jamming has become one of the major threats to positioning service. Unfortunately, most conventional wireless positioning technologies are vulnerable to jamming attacks due to inherent shortcomings like weak signal strength and unfavorable anchor geometry. Thanks to their high operational flexibility, unmanned aerial vehicles (UAVs) could be a promising solution to the above challenges. Therefore, in this article, we propose a UAV-assisted anti-jamming positioning system, in which multiple UAVs first utilize time-difference-ofarrival (TDoA) measurements from ground reference stations and double-response two-way ranging (DR-TWR) measurements from UAV-to-UAV links to perform self-localization as well as clock synchronization, and then act as anchor nodes to provide TDoA positioning service for ground users in the presence of jamming. To evaluate the feasibility and performance of the proposed system, we first derive the Cramér-Rao lower bound (CRLB) of UAV self-localization. Then, the impacts of UAV position uncertainty and synchronization errors caused by jamming on positioning service are modeled, and the theoretical root-mean-square error (RMSE) of user position estimate is further derived. Numerical results demonstrate that the proposed system is a promising alternative to existing positioning systems when their services are disrupted by jamming. The most notable advantage of the proposed system is that it is fully compatible with existing user equipment terminals and positioning methods. Index Terms-Unmanned aerial vehicle (UAV), anti-jamming positioning, time-difference-of-arrival (TDoA), double-response two-way ranging (DR-TWR).

Management of Positioning Functions in Cellular Networks for Time-Sensitive Transportation Applications

“…A general-purpose antenna extension solution has been proposed in [29], which can provide extended radio chains of commodity devices for both communication and localization [30]. Besides the design of novel estimation methods as in [6], [31], researches in [32]- [34] have successively proposed a series of deployment strategies for anchor nodes for accurate location estimation in cellular internet-of-things (IoT) networks. These papers mainly assume that the PRS transmitted by each BS is not interfered by other BSs.…”

QoS-Oriented Sensing–Communication–Control Co-Design for UAV-Enabled Positioning

“…In these studies, UAVs were leveraged as the anchor nodes with perfect knowledge of their own positions. In practice, UAVs' positions are obtained through state sensing, and the inevitable sensing errors will cause uncertainty in anchor position information [21], [22]. Thus, the authors in [21] studied the problem of UAV self-localization and evaluated the impact of UAV position uncertainty on positioning performance.…”

“…In practice, UAVs' positions are obtained through state sensing, and the inevitable sensing errors will cause uncertainty in anchor position information [21], [22]. Thus, the authors in [21] studied the problem of UAV self-localization and evaluated the impact of UAV position uncertainty on positioning performance. Moreover, Liu et al [22] proposed a deployment optimization method to improve the accuracy of UAV-enabled positioning whole considering UAV position uncertainty.…”

“…With an appropriate UAV control strategy and good initial guesses, the location estimate will be close to the true location (p m ) after several iterations [21]. Thus, by replacing p(l) m,t+1 in the above equation with p m , the estimation error after convergence can be written as…”

Cognitive-Based High Robustness Frequency Hopping Strategy for UAV Swarms in Complex Electromagnetic Environment

“…The anti-interference of UAVs is to taking certain measures to eliminate the influence of interference sources on UAV communications, so that UAV can complete data transmission [20]. Each anti-interference technology is effective to one or several certain interferences, and no existing anti-interference technology can resist all types of interference [21].…”