Passive multi-target indoor localization based on maximum likelihood estimation of RFID interference

Meng Liu
Passive multi-target indoor localization is one of the important fields recently and could contribute to many applications including storage management or somatosensory systems. In this paper, a passive multi-target indoor localization system was proposed using ultra-high frequency RFID. The reference tags were placed as UCA to detect the interference of the targets. The signal propagation was analyzed and the channel information of targets was extracted from complicated received signal. To distinguish the coherent signals, maximum...
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