Loading...
Search for: optimal-sensor-placement
0.006 seconds

    Optimal sensor placement for source localization in nlos conditions

    , Article 26th Iranian Conference on Electrical Engineering, ICEE 2018, 8 May 2018 through 10 May 2018 ; 2018 , Pages 435-439 ; 9781538649169 (ISBN) Juybari, S. M. S ; Behnia, F ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    The problem of sensor placement for passive source localization under the non-line of sight signal propagation is considered in this paper. To this end, first we derive the Cramer-Rao lower bound for the time of arrival based source localization under non-line of sight conditions. Then, the optimal arrangement of sensors to achieve this lower bound is obtained in the two important cases with all of the receivers being non line of sight ones in the first case and a combination of line of sight and non-line of sight receivers in the 2nd case. © 2018 IEEE  

    Optimal sensor placement for multi-source AOA localisation with distance-dependent noise model

    , Article IET Radar, Sonar and Navigation ; Volume 13, Issue 6 , 2019 , Pages 881-891 ; 17518784 (ISSN) Hamdollahzadeh, M ; Amiri, R ; Behnia, F ; Sharif University of Technology
    Institution of Engineering and Technology  2019
    Abstract
    In this study, the optimal sensor placement problem for multi-source angle of arrival localisation is investigated. The authors adopt the A-optimality criterion, maximising the trace of Fisher information matrix, to determine the optimal sensor-target geometry under distance-dependent Gaussian noise model. A recursive representation of the Cramer-Rao lower bound is derived to recast the sensor placement problem into a sequential method, obtaining the optimal sensor geometries in a step by step manner. Note that the state-of-the-art methods are highly sensitive to the source location changes such that they should be relocated by any later changes in target geometries, which is practically... 

    Optimal sensor placement for multi-source AOA localisation with distance-dependent noise model

    , Article IET Radar, Sonar and Navigation ; Volume 13, Issue 6 , 2019 , Pages 881-891 ; 17518784 (ISSN) Hamdollahzadeh, M ; Amiri, R ; Behnia, F ; Sharif University of Technology
    Institution of Engineering and Technology  2019
    Abstract
    In this study, the optimal sensor placement problem for multi-source angle of arrival localisation is investigated. The authors adopt the A-optimality criterion, maximising the trace of Fisher information matrix, to determine the optimal sensor-target geometry under distance-dependent Gaussian noise model. A recursive representation of the Cramer-Rao lower bound is derived to recast the sensor placement problem into a sequential method, obtaining the optimal sensor geometries in a step by step manner. Note that the state-of-the-art methods are highly sensitive to the source location changes such that they should be relocated by any later changes in target geometries, which is practically... 

    Reliability-based optimization of an active vibration controller using evolutionary algorithms

    , Article Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 26 March 2017 through 29 March 2017 ; Volume 10168 , 2017 ; 0277786X (ISSN); 9781510608214 (ISBN) Saraygord Afshari, S ; Pourtakdoust, S. H ; Fiberguide Industries; Frontiers Media; OZ Optics, Ltd.; Polytec, Inc.; The Society of Photo-Optical Instrumentation Engineers (SPIE) ; Sharif University of Technology
    SPIE  2017
    Abstract
    Many modern industrialized systems such as aircrafts, rotating turbines, satellite booms, etc. cannot perform their desired tasks accurately if their uninhibited structural vibrations are not controlled properly. Structural health monitoring and online reliability calculations are emerging new means to handle system imposed uncertainties. As stochastic forcing are unavoidable, in most engineering systems, it is often needed to take them into the account for the control design process. In this research, smart material technology is utilized for structural health monitoring and control in order to keep the system in a reliable performance range. In this regard, a reliability-based cost... 

    Soil Moisture Monitoring in Precision Agriculture Using Estimation Theories

    , Ph.D. Dissertation Sharif University of Technology Pourshamsaei Dargahi, Hossein (Author) ; Nobakhti, Amin (Supervisor)
    Abstract
    Monitoring of soil moisture plays an essential role in correct decision making and implementation of any closed loop control system in precision agriculture. On the one hand, continuous using of a lot of moisture sensors and monitoring of soil moisture via direct measurement is restricted by practical prohibitions. On the grounds that activation of a lot of sensors continuously requires communication of a large amount of information and causes high power consumption for a moisture monitoring system. On the other hand, using remote sensing methods such as satellite methods, for moisture monitoring in arbitrary spatial and time resolution for control purposes, is not practically possible. The... 

    Analysis of Effective Parameters in Localization Accuracy of Positioning Systems

    , Ph.D. Dissertation Sharif University of Technology Sadeghi, Mohammad (Author) ; Behnia, Fereidoon (Supervisor)
    Abstract
    Target localization using positioning systems has long been considered by researchers in various fields.One of the important issues in localizing a target is the accuracy of its determined position. There are several parameters in the accuracy of position estimation. In a comprehensive view, these parameters can be divided into three general factors,including the relative geometry of the transmitters/receivers with respect to the target, the accuracy of measurements, and the type of target position estimator.The first factor, i.e. the relative geometry between the target and the transmit/receive antennas, plays an important role in localization accuracy. In the first part of this thesis, the... 

    Optimal sensor configuration for two dimensional source localization based on TDOA/FDOA measurements

    , Article Proceedings International Radar Symposium, 10 May 2016 through 12 May 2016 ; Volume 2016-June , 2016 ; 21555753 (ISSN) ; 9781509025183 (ISBN) Hamdollahzadeh, M ; Adelipour, S ; Behnia, F ; Sharif University of Technology
    IEEE Computer Society  2016
    Abstract
    The Cramer-Rao lower bound for source localization based on Time Difference of Arrival and Frequency Difference of Arrival is investigated in this paper. The result is used for theoretical analysis of optimality in sensor placement. An optimal sensor-target geometry including sensors locations and velocities is presented and its properties is studied  

    Robust controllability assessment and optimal actuator placement in dynamic networks

    , Article Systems and Control Letters ; Volume 133 , 2019 ; 01676911 (ISSN) Babazadeh, M ; Sharif University of Technology
    Elsevier B.V  2019
    Abstract
    This paper presents a new framework for the optimal placement of actuators in uncertain dynamic networks. The objective is to select a subset of nodes from a set of potential actuator placements, such that the controllability of the network with norm-bounded perturbation is preserved over the entire uncertain region. Evaluation of robust controllability is known to be computationally intractable. The recent results of Babazadeh and Nobakhti (2016) are utilized to establish equivalent conditions for robust controllability of uncertain networks. It is shown that for a large class of dynamic systems, including undirected networks, the exact distance to uncontrollability is evaluated by solving... 

    Optimal sensor placement for 2-d range-only target localization in constrained sensor geometry

    , Article IEEE Transactions on Signal Processing ; Volume 68 , 2020 , Pages 2316-2327 Sadeghi, M ; Behnia, F ; Amiri, R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Localization of an emitting or reflecting target is one of the most important issues in a wide range of applications including radar, sonar, wireless communication and sensor networks. Due to significant effect on the positioning accuracy, designing the optimal sensor-target geometry has been considered as an important problem in the localization literature. The existing sensor placement methods mainly solve the problem in the cases without any constraints on the sensors locations. In the realistic scenarios, however, the sensors cannot be placed simply in arbitrary locations due to such constraints as the geographical limitations, communication problems between the sensor pairs and the... 

    Adaptive proper orthogonal decomposition for large scale reliable soil moisture estimation

    , Article Measurement Science and Technology ; Volume 32, Issue 11 , 2021 ; 09570233 (ISSN) Pourshamsaei, H ; Nobakhti, A ; Jana, R. B ; Sharif University of Technology
    IOP Publishing Ltd  2021
    Abstract
    A major challenge in automatic irrigation of extensive agricultural fields is large scale soil moisture monitoring. Proper orthogonal decomposition (POD) is a widespread data-driven dimension reduction technique which can be combined with QR pivoting method for estimation of high-dimensional signals and optimal sensor placement. However, it requires computation of tailored basis functions which should be extracted from known training data. This is feasible for problems with constant features such as face recognition. However, using fixed bases (and probably fixed sensor selection) may not be an appropriate approach for estimation of signals with time-variant features. This paper demonstrates... 

    Optimal geometry analysis for tdoa-based localization under communication constraints

    , Article IEEE Transactions on Aerospace and Electronic Systems ; Volume 57, Issue 5 , 2021 , Pages 3096-3106 ; 00189251 (ISSN) Sadeghi, M ; Behnia, F ; Amiri, R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    The sensor-source geometry has a significant effect on accuracy of source localization problems. In a sensor placement problem, one attempts to optimally place the sensors in the surveillance area so as to optimize a performance criterion. Sensor placement methods mainly solve the associated problems without taking any specific constraint on permissible location of sensors into account. In practical applications, however, possible location for deployment of the sensors are subject to such limitations as environmental, industrial, and communication constraints, which affects the optimal sensor-source geometry. In this article, we consider the problem of optimal sensor placement, based on time...