A Positioning Scheme Combining Location Tracking with Vision Assisting for Wireless Sensor Networks

Tsai, Fuan; Chiou, Yih Shyh; Chang, Huan

doi:10.1016/s1665-6423(13)71539-6

Cited by 14 publications

(3 citation statements)

References 13 publications

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“…The KF allows to merge information obtained from different sensor sources in a structured manner. For example in [29], a KFbased method for estimating position is presented, this approach combines visual data with wireless sensors network information. Commonly methods based on linear filtering utilize simplified (linearized) models.…”

Section: Introductionmentioning

confidence: 99%

A GPS-aided inertial navigation system in direct configuration

Munguía

2014

Journal of Applied Research and Technology

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This work presents a practical method for estimating the full kinematic state of a vehicle, along with sensor error parameters, through the integration of inertial and GPS measurements. This kind of system for determining attitude and position of vehicles and craft (either manned or unmanned) is essential for real time, guidance and navigation tasks, as well as for mobile robot applications.The architecture of the system is based in an Extended Kalman filtering approach in direct configuration. In this case, the filter is explicitly derived from the kinematic model, as well as from the models of sensors error. The architecture has been designed in a manner that it permits to be easily modified, in order to be applied to vehicles with diverse dynamical behaviors.The estimated variables and parameters are: i) Attitude and bias-compensated rotational speed of the vehicle, ii) Position, velocity and bias-compensated acceleration of the vehicle and iii) bias of gyroscopes and accelerometers. Experimental results with real data show that the proposed method is enough robust for its use along with low-cost sensors.

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Section: Introductionmentioning

confidence: 99%

A GPS-aided inertial navigation system in direct configuration

Munguía

2014

Journal of Applied Research and Technology

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“…Driven by the increasing demand for more precise location-based services [1], [2], new GNSSs including European Galileo and modernized global positioning system (GPS) employ the binary offset carrier (BOC) modulation to provide a higher positioning accuracy than the phase shift keying (PSK) modulation used in the conventional GPS [3]- [6]. The BOC modulated signal is generated by multiplying a pseudorandom noise (PRN) code with a sub-carrier of sine-or cosine-phased square wave, denoted as sin BOC ( , ) kn n or  cos BOC ( ), kn n respectively: Here, k represents the ratio of the chip period c T of the PRN code to the period of the WWW sub-carrier, and n denotes the ratio of 1 c T to 1.023 MHz [7], [8].…”

Section: Introductionmentioning

confidence: 99%

An Unambiguous Tracking Scheme Using Partial-Pulses for BOC Signals

Lee

Yoo

et al. 2014

Journal of Applied Research and Technology

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The recent researches on the tracking of binary offset carrier (BOC) modulated signals have been studied focusing on resolving the ambiguity problem caused by the multiple side-peaks in BOC autocorrelation. In this paper, we propose a novel unambiguous BOC tracking scheme with an improved tracking performance by using partial-pulses of BOC signals. Firstly, we observe that a sub-carrier consists of two partial rectangular pulses referred to as partial-pulses, and then, generate multiple partial-correlations composing the BOC autocorrelation. Finally, a correlation function with no side-peak is constructed by combining the partial-correlations, and then, a delay lock loop employing the proposed unambiguous correlation function adjusts the phase of the local BOC signals. From numerical results, it is confirmed that the proposed scheme provides a better tracking performance than the conventional schemes in terms of the tracking error standard deviation.

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“…This central node periodically sends location information of each node. In distributed scheme 30,31 position is calculated by sensor nodes individually by interacting directly with anchor nodes or estimated based on distance from reference node or through GPS-sensing. Centralized-based algorithms more economical in terms of computation and energy but issue is bottleneck and connectivity.…”

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confidence: 99%

Ground target finding mechanism for unmanned aerial vehicles to secure crop field data

Uddin

Ayaz

Mansour

et al. 2021

Trans Emerging Tel Tech

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Unmanned aerial vehicles (UAVs) are being used in many military and civil applications while their use along wireless sensors is emerging abruptly as it upgrades the network in terms of reliability, lifetime, and connectivity. The system performance and throughput can be further enhanced if the UAVs in use are capable to locate ground sensor nodes as a means to address them smartly. In typically localization, the direction of arrival of incoming signals from a target node is measured by using a uniformed linear array (ULA) of antennas having signal processing capabilities. However, adding numerous antennas (transmitter receivers set) on a UAV is an extra burden which ultimately effects its speed, flight time, agility, and payload capacity. Considering the issue, a typical ULA antenna system is modeled by using virtual phased array (VPA) antenna. In the proposed VPA, a single antenna installed on a moving UAV will achieve the desire results. The well-known multiple signal classification algorithm is modified to adapt this virtual antenna system. Four extra modules including calibrator, virtual antenna, rectifier, and adjustment are added in classical multiple signal classification algorithm to make it enable to work with single antenna. The proposed system mitigates the existing challenges of physical ULA and improves system throughput. Furthermore, due to its virtualness, VPA can adjust the number of antenna elements and interelement spacing, which adds multifrequency support and adaptive precision mechanism. A simulation model is developed in MATLAB to verify the performance of the VPA where the proposed system is evaluated against different scenarios with a varying number of parameters. It is found that VPA gives the same resolution and precision as a physical ULA antenna but it is more flexible, user-friendly, cost-effective, reliable, and most importantly, does not affect the UAV characteristics. 1 INTRODUCTION Unmanned aerial vehicles (UAVs) are being used in a variety of civil 1 and military 2 applications nowadays. The use of UAVs as attack/defense line, 3 aerial targets for training, 4 mining/demining, 5 and law enforcement 6 are the examples for military usage, while the use of UAVs in archaeology, 7 cargo/passenger transport, maintenance, healthcare, 8,9

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A Positioning Scheme Combining Location Tracking with Vision Assisting for Wireless Sensor Networks

Cited by 14 publications

References 13 publications

A GPS-aided inertial navigation system in direct configuration

A GPS-aided inertial navigation system in direct configuration

An Unambiguous Tracking Scheme Using Partial-Pulses for BOC Signals

Ground target finding mechanism for unmanned aerial vehicles to secure crop field data

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