Signal processing techniques for chipless UWB RFID thermal threshold detector detection
This paper presents signal processing techniques to detect a passive thermal threshold detector based on a chipless time-domain ultra-wideband (UWB) radio-frequency identification (RFID) tag. The tag is composed by a UWB antenna connected to a transmission line, in turn loaded with a biomorphic thermal switch. The working principle consists of detecting the impedance change of the thermal switch. This change occurs when the temperature exceeds a threshold. A UWB radar is used as the reader.
The difference between the actual time sample and a reference signal obtained from the averaging of previous samples is used to determine the switch transition and to mitigate the interferences derived from clutter reflections. A gain compensation function is applied to equalize the attenuation due to propagation loss. An improved method based on the Continuous Wavelet Transform with Morlet wavelet is used to overcome detection problems associated to a low signalto- noise ratio at the receiver. The average delay profile is used to detect the tag delay. Experimental measurements up to 5 m are obtained.