Distributed pseudolinear estimation and UAV path optimization for 3D AOA target tracking

Xu, Sheng; Doğançay, Kutluyıl; Hmam, Hatem

doi:10.1016/j.sigpro.2016.10.012

Cited by 70 publications

(43 citation statements)

References 29 publications

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“…In some articles, drones not only have to locate the object, but also estimate its motion . For example, Haugen and Imsland and Albert et al set up a control framework to estimate parameters of motion of several objects with drones equipped with imperfect sensors.…”

Section: Planning Drone Operationsmentioning

confidence: 99%

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with significant market potential. UAVs may lead to substantial cost savings in, for instance, monitoring of difficult‐to‐access infrastructure, spraying fields and performing surveillance in precision agriculture, as well as in deliveries of packages. In some applications, like disaster management, transport of medical supplies, or environmental monitoring, aerial drones may even help save lives. In this article, we provide a literature survey on optimization approaches to civil applications of UAVs. Our goal is to provide a fast point of entry into the topic for interested researchers and operations planning specialists. We describe the most promising aerial drone applications and outline characteristics of aerial drones relevant to operations planning. In this review of more than 200 articles, we provide insights into widespread and emerging modeling approaches. We conclude by suggesting promising directions for future research.

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Section: Planning Drone Operationsmentioning

confidence: 99%

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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“…This assumes that the networkwide system, that is, the state transition equation in (1a) and observation equation in (3), meets the required convergence and stability criteria of conventional Kalman filtering in presence of unknown inputs, e.g., [40,41]. 2 1 The state-space model is considered to be linear and time invariant with stationary noise sequences for simplicity in presentation. However, the obtained results can be readily generalized.…”

Section: B Centralized Solutionmentioning

confidence: 99%

“…I NTELLIGENT multi-agent networks form an essential part of most modern surveillance and control systems [1]- [16]. This has made development of distributed filtering and optimization techniques an attractive topic among the signal processing, control, and machine learning communities [8,12].…”

Section: Introductionmentioning

confidence: 99%

Distributed Kalman Filtering in Presence of Unknown Outer Network Actuations

Talebi

Werner

2019

IEEE Control Syst. Lett.

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This paper presents a fully distributed approach for tracking state vector sequences over sensor networks in presence of unknown actuations. The problem arises in large-scale systems where modeling the full dynamics becomes impractical. In this work, the network only considers a subsection of the overall system which it can detect while accounting other inputs as unknown actuations. First a centralized technique that can consolidate all the available observation information is introduced. Then, operations of this optimal centralized solution are decomposed in a manner to allow their implementation in a distributed fashion while allowing each agent to retain an estimate of both the state vector and unknown actuations. The filter is derived in both diffusion and consensus formulations. The diffusion formulation is intended as a cost-effective solution, while the consensus formulation trades implementation complexity for accuracy.

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“…The dynamics of ship, the environment conditions, and movement of obstacles are integrated considered. Xu et al presented a novel 3D pseudolinear Kalman filter to optimize the navigation route for ship on the sea [4]. Furthermore, a route optimized algorithm was proposed to minimize the trace of the covariance matrix.…”

Section: Introductionmentioning

confidence: 99%

Ship Route Planning Based on Double-Cycling Genetic Algorithm Considering Ship Maneuverability Constraint

et al. 2020

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In order to complete automatic route planning in the complex navigation environment, this paper proposes a quadratic optimization genetic algorithm combining the motion characteristics of the ships. Furthermore, the constraints of the maneuvering characteristics of ship are considered to calculate the accurate planning routes fast. First of all, the turning and speed reduction model of ships are established, which is the foundation for the accurate calculation of approach states between the own ship and target ships. Second, in order to check the position relationship between the planned route and the land objects (such as the islands and rocks) on the chart, a detection algorithm between lines and irregular polygon boundary based on quadtree method is acquired. Third, a new genetic algorithm based on double-cycling optimization is proposed by this paper. Aiming at the complex problem of comprehensive collision avoidance planning under the conditions of static and dynamic obstacles, this paper realizes an efficient and feasible solution of dynamic programming for ship route. Finally, the algorithm is verified on a test fireboat, and the experiment data prove the feasibility and effectiveness of the proposed algorithm by this paper.

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Distributed pseudolinear estimation and UAV path optimization for 3D AOA target tracking

Cited by 70 publications

References 29 publications

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Distributed Kalman Filtering in Presence of Unknown Outer Network Actuations

Ship Route Planning Based on Double-Cycling Genetic Algorithm Considering Ship Maneuverability Constraint

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