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Distance Attenuation-Based Elliptical Weighting-g Model in Radio Tomography Imaging
oleh: Chunhua Zhu, Yue Chen
Format: | Article |
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Diterbitkan: | IEEE 2018-01-01 |
Deskripsi
The selection of voxel weightings in the elliptical model is significant to determine the performance of the positioning in the radio tomography imaging system. In this paper, we propose an elliptical weighting model based on the distance of voxels within the scope of ellipse and line of sight path. To adaptively select the voxel weightings, a distance attenuation factor is introduced when the voxel weightings are calculated. Simulation results show that the proposed elliptical weight model improves the accuracy of the target position and also has fewer artifacts. Meanwhile, the mean square errors of the estimated three positions are decreased by 0.004, 0.03, and 0.01, respectively, in comparison with the classical elliptical weighting model.