2020
DOI: 10.3390/s20216315
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Cooperative Localization and Time Synchronization Based on M-VMP Method

Abstract: Localization estimation and clock synchronization are important research directions in the application of wireless sensor networks. Aiming at the problems of low positioning accuracy and slow convergence speed in localization estimation methods based on message passing, this paper proposes a low-complexity distributed cooperative joint estimation method suitable for dynamic networks called multi-Gaussian variational message passing (M-VMP). The proposed method constrains the message to be a multi-Gaussian func… Show more

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Cited by 2 publications
(3 citation statements)
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“…Cooperative localization method can rely on the location information and communication channels of other nodes to provide coordinated information to improve the positioning performance of the system [ 21 ]. However, the coordinated information in the scene of low anchor node density may also cause a decrease in positioning accuracy [ 22 ], as shown in Figure 1 .…”
Section: Introductionmentioning
confidence: 99%
“…Cooperative localization method can rely on the location information and communication channels of other nodes to provide coordinated information to improve the positioning performance of the system [ 21 ]. However, the coordinated information in the scene of low anchor node density may also cause a decrease in positioning accuracy [ 22 ], as shown in Figure 1 .…”
Section: Introductionmentioning
confidence: 99%
“…Radio-based indoor positioning can generally be divided into three groups: Proximity, Time of Flight (TOF) measurements [ 9 ], and Received Signal Strength Indicator (RSSI)-based methods [ 10 ]. In some cases, these were also supplemented with an Angle of Arrival (AOA) localization approach [ 11 ].…”
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confidence: 99%
“…To improve indoor localization based on the time-of-arrival (TOA) principle, Deng et al [ 9 ] proposed a clock synchronization solution for dynamic networks called Multi–Gaussian Variational Message Passing (M-VMP) method. The latter improved the positioning accuracy and convergence speed for mixed Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) environments.…”
mentioning
confidence: 99%