UAV Intelligent Optimal Path Planning Method for Distributed Radar Short-Time Aperture Synthesis

Xu, Fanyun; Wang, Rufei; Zhao, Lü; Zhang, Yin; Huang, Yulin; Yang, Jianyu

doi:10.1109/igarss39084.2020.9324684

Cited by 3 publications

(2 citation statements)

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“…While simple in principle, numerical evaluation of such system's performance requires the detailed knowledge of radar cross-section (RCS) [9], [10] for accurate results. Hence, in addition to the system design, we propose a new method for accurate estimation of the RCS for curved objects with complex shapes, such as drones.…”

Section: Introductionmentioning

confidence: 99%

Distributed Communication and Sensing System Co-Design for Improved UAV Network Resilience

Tropkina

Sun

Moltchanov

et al. 2023

IEEE Trans. Veh. Technol.

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The progress in wireless technology over the past decade led to the rapid adoption of Unmanned Aerial Vehicles (UAVs) for various applications. As the interest in UAVs is accelerating, increased attention is paid to the reliability and resilience of UAV-based systems with respect to the collision avoidance. One of the ways to improve this aspect is to utilize the RADAR functionality. In this work, we consider a cellular network employed for communication jointly with RADAR operation. The critical parameter that affects the RADAR algorithm is the radar cross-section (RCS). Since the task of obtaining the RCS of a complex-shaped object is extremely challenging, we first propose a novel, accurate, and fast method of scattered field assessment. We further perform radio network planning for the cellular deployment, as well as link budget estimations for the RADAR system that co-exists with it. Under this system model, we carry out detailed Monte-Carlo simulations of the RADAR detection process to obtain reliable statistical results and answer the question of how the actual bistatic RCS model affects the detection algorithm. We then apply mathematical modeling based on stochastic geometry to estimate the collision probability without the need to simulate an extensive number of flight-hours. Our numerical results confirm the robustness to RCS pattern nulls, which is crucial for safety-centric applications such as collision avoidance.

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Section: Introductionmentioning

confidence: 99%

Distributed Communication and Sensing System Co-Design for Improved UAV Network Resilience

Tropkina

Sun

Moltchanov

et al. 2023

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…We have discussed the problem of UAV path planning for distributed radar imaging preliminarily in [52]. In order to further verify the effectiveness and feasibility of the proposed method, further research is carried out, including the following three aspects: 1.…”

Section: Introductionmentioning

confidence: 99%