Distributed path optimisation of mobile sensor networks for AOA target localisation

Yang, Ziwen; Zhu, Shanying; Chen, Cailian; Guan, Xinping; Feng, Gang

doi:10.1049/iet-cta.2018.6112

Cited by 5 publications

(9 citation statements)

References 31 publications

(47 reference statements)

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“…But the subjects were not very persuasive. Yang et al studied the path optimization of mobile sensor networks to improve the accuracy of estimating stationary targets [8]. Krishna et al mainly studied the best reliable ordered routing path between source and destination nodes in MANET, and presented a hybrid algorithm [9].…”

Section: Related Workmentioning

confidence: 99%

Optimization of Economic Development Path in Western Region under Background of “the Belt and Road Initiative” Based on Intelligent Internet of Things

Jiao

2022

Security and Communication Networks

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The Internet of things is a network that can realize the information interaction between all independent inanimate objects. It is a network that allows people to experience how to talk with objects. Its emergence is a milestone of world information technology. With the development of the Internet of things, more and more research is carried out on the basis of the Internet of things, and the economic development of the western region should seize the opportunity of the Internet of things and find a suitable development path. This paper mainly studies the optimization of the economic development path of the western region under the background of the “the Belt and Road” to help the western region develop rapidly. This paper puts forward the interactive development path of industrial clusters and new urbanization. Through the simulation data, the total GDP and per capita GDP of the western region in the next few years are analyzed and summarized. The data show that under this method, the total GDP and per capita GDP of the western region will increase by more than 30% every year in the next five years, and will continue to rise.

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Section: Related Workmentioning

confidence: 99%

Optimization of Economic Development Path in Western Region under Background of “the Belt and Road Initiative” Based on Intelligent Internet of Things

Jiao

2022

Security and Communication Networks

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“…The proposed method was compared with stationary platforms and the methods proposed in [38,39]. The positions of the stationary platforms were deployed as the initial positions of the UAVS.…”

Section: Simulation Experimentsmentioning

confidence: 99%

“…The DCKFI-CI was applied for target tracking with stationary platforms. In addition, the methods in [38,39] for distributed estimation and path optimization algorithms were adopted for comparison.…”

Section: Simulation Experimentsmentioning

confidence: 99%

“…On the other hand, path optimization based on numerical methods has been proposed for target tracking, to avoid the difficulty of finding closed-form solutions [30][31][32][33][34][35][36]. In [37][38][39], gradient descent optimization algorithms were proposed for single-and multi-sensor path planning for AOA target tracking, by minimizing the trace of the error covariance in 2D and 3D space. In [40], path optimization for passive emitter localization in 2D space was transformed into a nonlinear programming problem, to minimize the determinant of the FIM.…”

Section: Introductionmentioning

confidence: 99%

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Diffusion Nonlinear Estimation and Distributed UAV Path Optimization for Target Tracking with Intermittent Measurements and Unknown Cross-Correlations

Wang

et al. 2023

Drones

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This paper focuses on distributed state estimation (DSE) and unmanned aerial vehicle (UAV) path optimization for target tracking. First, a diffusion cubature Kalman filter with intermittent measurements based on covariance intersection (DCKFI-CI) is proposed, to address state estimation with the existence of detection failure and unknown cross-correlations in the network. Furthermore, an alternative transformation of DCKFI-CI based on the information form is developed utilizing a pseudo measurement matrix. The performance of the proposed DSE algorithm is analyzed using the consistency and the bounded error covariance of the estimate. Additionally, the condition of the bounded error covariance is derived. In order to further improve the tracking performance, a UAV path optimization algorithm is developed by minimizing the sum of the trace of fused error covariance, based on the distributed optimization method. Finally, simulations were conducted to verify the effectiveness of the proposed algorithm.

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“…[ 16,17 ] Several results have been reported on model‐based fault detection for chemical engineering systems. Based on the linear functional observer method, fault detection for the time‐delay chemical system with an unknown input was considered in Feng et al [ 18 ] Based on the finite‐time fault detection filter method, fault detection for complex systems with multiple stochastic communication and distributed delays was considered in Sakthivel et al [ 19 ] In Yan et al, [ 20 ] fault detection for nonlinear systems based on the hierarchy cubature Kalman filter was proposed. The

H_{2} / H_{\infty}

fault detection observer design for linear time‐delay systems and discrete‐time uncertain systems were studied in Shen et al [ 21 ] and Huang et al, [ 22 ] respectively.…”

Section: Introductionmentioning

confidence: 99%

Actuator fault detection for a two‐stage chemical reactor based on the functional observer approach

Mao

2021

Can J Chem Eng

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This paper presents a new method of actuator fault detection based on the functional observer approach for a two‐stage chemical reactor with disturbance, parameter uncertainty, and time‐delay. The mechanism analysis method is used to model the system and the observer is designed. The exogenous disturbance can be decoupled completely from the error dynamic systems by letting some relevant constraints ensure the robustness of the residual generator. Stability conditions are obtained by using the Lyapunov–Krasovskii functional approach in the form of linear matrix inequalities (LMIs). Finally, simulation results are given to illustrate the effectiveness of the proposed method.

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Distributed path optimisation of mobile sensor networks for AOA target localisation

Cited by 5 publications

References 31 publications

Optimization of Economic Development Path in Western Region under Background of “the Belt and Road Initiative” Based on Intelligent Internet of Things

Optimization of Economic Development Path in Western Region under Background of “the Belt and Road Initiative” Based on Intelligent Internet of Things

Diffusion Nonlinear Estimation and Distributed UAV Path Optimization for Target Tracking with Intermittent Measurements and Unknown Cross-Correlations

Actuator fault detection for a two‐stage chemical reactor based on the functional observer approach

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