Impedance-Based Wireless Sensor Network for Metal-Protective Coating Evaluation

Yu, Rui; Zhou, Qixin; Wang, Yechun; You, Chao

doi:10.4018/ijmtie.2011070103

Cited by 2 publications

(1 citation statement)

References 17 publications

(21 reference statements)

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“…The least squares algorithm uses the minimum sum of squares of the residuals as the performance criterion to make fitted values of the sensor sub-measurements. The most fundamental solution idea is: if the ratio of the scanning signal period of multiple sensors is (set to an integer value), will receive the third class sensor sub-measurement space time virtual coordinate value [9] as the time third class sensor real valid value, the time third class sensor capture measurement value and the first class sensor measurement value for the target space state fitting value processing, repeatedly realize that the sensor many times temporally for virtual measurement fitted value fusion processing, realized sensor a, sensor b and n sensors to maintain the measurement value in time for effective information fusion, excluding the error factor of information fusion due to time deviation [10] when the sensor captures the signal.…”

Section: Least Squares Methods [8]mentioning

confidence: 99%

A Method to Locate Firing Points by Fusing Double CCD and GIS

Xu¹,

Xu²,

Wang³

et al. 2023

FSE

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The precise positioning of the firing explosion point is an effective means to test the technical performance of artillery weapons and equipment warfare, but when the CCD single pole distance method is directly used to detect the explosion point, it is often affected by the obstacles in the shooting visual area, terrain and landform, and the detection and positioning accuracy is difficult to meet the evaluation requirements. To this end, the double CCD intersection method is first used to locate the explosive point, and the target recognition and positioning algorithm is used to realize the visual explosion point positioning, but this method also has the phenomenon of missing detection of the bomb point and ricochet explosion point. Then, the sensor is used to collect GIS signals at the point of explosion, which can well detect the location of missed bounces and ricochets, but there is also the cost of time registration and spatial coordinate system registration. In order to give full play to the complementary advantages of the two positioning methods, this paper proposes to establish a fusion localization model. Experiments have verified that the fusion positioning method improves the accuracy of the detection of the explosion point of traditional single live shooting, and can provide a reference for the positioning detection of related points of interest.

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Section: Least Squares Methods [8]mentioning

confidence: 99%