UAV and Piecewise Convex Approximation Assisted Localization With Unknown Path Loss Exponents

Liu, Boda; Zhu, Xu; Jiang, Yufei; Wei, Zhongxiang; Huang, Yi

doi:10.1109/tvt.2019.2946142

Cited by 19 publications

(3 citation statements)

References 22 publications

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“…This scheme is based on the premise that PLE can change frequently in urban environments. Localization accuracy is improved by using a piecewise convex approximation‐based scheme with unknown PLE, which employs a grid search approach 29 . In an RSS localization scheme that considers anchor node uncertainty and PLE imperfections, the imperfection of the PLE information is considered 30 .…”

Section: Related Workmentioning

confidence: 99%

Design and implementation of a novel real‐time unmanned aerial vehicle localization scheme based on received signal strength

LiuTong

Zhaohui

YangHaojun

et al. 2021

Trans Emerging Tel Tech

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To accurately localize unmanned aerial vehicles (UAVs) is one of the key issues to deal with the security threats caused by UAVs. Thus, this article proposes a UAV localization scheme that utilizes the area grid quantization and transmit power statistical calibration techniques, in which the location and transmit power of the UAV are unknown. Firstly, the adaptive discrete particle swarm optimization (ADPSO) algorithm is used to find the global optimal solution to the localization problem. A grid quantization method is proposed to discretize the value space of the traditional PSO algorithm to reduce the estimated localization time. An adaptive factor is also introduced to adjust the value of power for each iteration in the discrete particle swarm optimization (DPSO) algorithm in order to find the global optimal solution efficiently. Secondly, the fixed transmit power range is adopted to calibrate the estimated value of transmit power and the corresponding location. The prototype system comprises four anchor nodes based on a universal software radio peripheral radio frequency (USRP RF). Finally, field experiments are carried out to demonstrate the effectiveness of the proposed localization scheme.

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Section: Related Workmentioning

confidence: 99%

Design and implementation of a novel real‐time unmanned aerial vehicle localization scheme based on received signal strength

LiuTong

Zhaohui

YangHaojun

et al. 2021

Trans Emerging Tel Tech

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show abstract

“…In this sense, the computation complexity of various localization algorithms is studied in a broader sense in [13]. Furthermore, efforts to reduce the computational complexity of UAV based localization are conducted by converting the nonlinear and non-convex problems into linear and convex problems in [7].…”

Section: Introductionmentioning

confidence: 99%

RF Signal Source Search and Localization Using an Autonomous UAV with Predefined Waypoints

Kwon¹,

Güvenç²

2023

Preprint

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Localization of a radio frequency (RF) signal source has various use cases, ranging from search and rescue, identification and deactivation of jammers, and tracking hostile activity near borders or on the battlefield. The use of unmanned aerial vehicles (UAVs) for signal source search and localization (SSSL) can have significant advantages when compared to terrestrialbased approaches, due to the ease of capturing RF signals at higher altitudes and the autonomous 3D navigation capabilities of UAVs. However, the limited flight duration of UAVs due to battery constraints, as well as limited computational resources on board of lightweight UAVs introduce challenges for SSSL. In this paper, we study various SSSL techniques using a UAV with predefined waypoints.A linear least square (LLS) based localization scheme is considered with enhanced reference selection due to its relatively lower computational complexity. Five different LLS localization algorithms are proposed and studied for selecting anchor positions to be used for localization as the UAV navigates through an area. The performance of each algorithm is measured in two ways: 1) real-time positioning accuracy during the ongoing UAV flight, and 2) long-term accuracy measured at the end of the UAV flight. We compare and analyze the performance of the proposed approaches using computer simulations in terms of accuracy, UAV flight distance, and reliability.

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“…Due to the mobility and flexibility, the trajectory of UAV was designed by Li et al in [9] to maximize the secrecy rate. Liu et al in [10] further discussed the UAVassisted localization problem with unknown path-loss exponents. UAV can be combined with non-orthogonal multiple access (NOMA), and Li et al studied the performance of UAV-aided NOMA multi-way relaying in [11].…”

Section: Introductionmentioning

confidence: 99%

UAV Relay Assisted Cooperative Jamming for Covert Communications Over Rician Fading

Zhang

Chen

Liu

et al. 2022

IEEE Trans. Veh. Technol.

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Covert communication can hide the legitimate transmission from unauthorized eavesdropping. Benefiting from the deployment flexibility, unmanned aerial vehicles (UAVs) can be utilized to enhance communication confidentiality. In this correspondence, we consider a covert communication network with the aid of a full-duplex UAV relay, which is employed to help the transmission and confuse the warden. The warden adopts a radiometer to detect the covert transmission. We first find the optimal detection threshold and calculate the minimum detection error probability. Furthermore, a closed-form expression of outage probability via UAV relaying is derived over Rician fading. Then, a power optimization problem is formulated to maximize the effective convert throughput with covertness constraint. Numerical results illustrate that the cooperative jamming can disrupt the warden, and the optimal power tradeoff can guarantee the covert transmission effectively.

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UAV and Piecewise Convex Approximation Assisted Localization With Unknown Path Loss Exponents

Cited by 19 publications

References 22 publications

Design and implementation of a novel real‐time unmanned aerial vehicle localization scheme based on received signal strength

Design and implementation of a novel real‐time unmanned aerial vehicle localization scheme based on received signal strength

RF Signal Source Search and Localization Using an Autonomous UAV with Predefined Waypoints

UAV Relay Assisted Cooperative Jamming for Covert Communications Over Rician Fading

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