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• W4385152221 abstract "Radio tomographic imaging (RTI) is a passive localization method that has important applications in device-free localization (DFL). RTI estimates the location of a target by using the impact of the target entering a region of interest (ROI) on the radio link. However, research on RTI in the field of passive UHF radio frequency identification (RFID) is still insufficient, and there are many issues that need to be addressed. In the RTI method, targets typically appear at the pixel with the highest value in the reconstructed image, displaying the location of the target intuitively by the variation in received signal strength (RSS) as the input. However, multipath effects, noise interference, and the presence of unknown targets in the ROI can lead to the appearance of multiple local maxima in the reconstructed image, making it very difficult to accurately identify the number and location of the targets. We proposed a method to establish feature regions in image reconstruction and introduced the method of link-tracking which uses more robust known link geometric features than RSS measurement values to match the false targets with the real targets one by one. The algorithm traverses all the feature region combinations in a specific order and outputs the localization result, distinguishing targets from false targets and obtaining more accurate results. Experimental results verified the convergence and advantages of the proposed method." @default.
• W4385152221 created "2023-07-23" @default.
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• W4385152221 date "2023-09-01" @default.
• W4385152221 modified "2023-10-16" @default.
• W4385152221 title "Multitarget Localization for RTI Based on Constructing Feature Region Combination" @default.
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• W4385152221 doi "https://doi.org/10.1109/jsen.2023.3293099" @default.
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