Improved adaptive particle filter using adjusted variance and gradient data

Park, Sanghyuk; Kim, Young-Joong; Lee, Hoo-Cheol; Lim, Myo–Taeg

doi:10.1109/mfi.2008.4648018

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Under these experimental settings, the suggested system was tested in terms of its location tracking accuracy and location estimation time, since these are two primary factors in assessing the effectiveness of an RTLS [41].…”

Section: Experimental Settingsmentioning

confidence: 99%

“…For the distance measurement, the symmetric double-sided two-way ranging (SDS-TWR) method-a ranging method that utilizes two delays that naturally occur in the signal transmission process for determining the range between two wireless devices-was selected in the RTLS engine because it can measure the round-trip time without synchronizing the measurement clocks [40], thereby significantly reducing the possibility of tracking errors due to clock synchronization. Under these experimental settings, the suggested system was tested in terms of its location tracking accuracy and location estimation time, since these are two primary factors in assessing the effectiveness of an RTLS [41].…”

Section: Location Tracking Accuracymentioning

confidence: 99%

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Accuracy Improvement of Real-Time Location Tracking for Construction Workers

Kim

Han

2018

Sustainability

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Extensive research has been conducted on the real-time locating system (RTLS) for tracking construction components, including workers, equipment, and materials, in order to improve construction performance (e.g., productivity improvement or accident prevention). In order to prevent safety accidents and make more sustainable construction job sites, the higher accuracy of RTLS is required. To improve the accuracy of RTLS in construction projects, this paper presents a RTLS using radio frequency identification (RFID). For this goal, this paper develops a location tracking error mitigation algorithm and presents the concept of using assistant tags. The applicability and effectiveness of the developed RTLS are tested under eight different construction environments and the test results confirm the system's strong potential for improving the accuracy of real-time location tracking in construction projects, thus enhancing construction performance.

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Section: Experimental Settingsmentioning

confidence: 99%

Section: Location Tracking Accuracymentioning

confidence: 99%

Accuracy Improvement of Real-Time Location Tracking for Construction Workers

Kim

Han

2018

Sustainability

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“…The models of the target dynamics and the observations often exhibit nonlinearities; the ltering should be taken into account, or at least be robust against these characteristics. Particle lters [14,15] have been introduced to deal with these nonlinearities in the dynamics and measurements. The particle lter is a modern Bayesian method based on numerical approximation of posterior distributions.…”

Section: Introductionmentioning

confidence: 99%

Novel sensor selection strategy for LPI based on an improved IMMPF tracking method

Zhang

Zhu²,

Tian

et al. 2014

J. of Syst. Eng. Electron.

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Sensor platforms with active sensing equipment such as radar may betray their existence, by emitting energy that will be intercepted by enemy surveillance sensors. The radar with less emission has more excellent performance of the low probability of intercept (LPI). In order to reduce the emission times of the radar, a novel sensor selection strategy based on an improved interacting multiple model particle lter (IMMPF) tracking method is presented. Firstly the IMMPF tracking method is improved by increasing the weight of the particle which is close to the system state and updating the model probability of every particle. Then a sensor selection approach for LPI takes use of both the target's maneuverability and the state's uncertainty to decide the radar's radiation time. The radar will work only when the target's maneuverability and the state's uncertainty exceed the control capability of the passive sensors. Tracking accuracy and LPI performance are demonstrated in the Monte Carlo simulations.

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