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32 Computer Science & Information Technology (CS & IT) wider bandwidth to the wavelet. Further for the detection of the results this has been changed to 100MHz giving better resolution of the detected bits. This is an advantage of this algorithm as higher number of bits can be detected with better resolution. The detected signal is compared with the wavelet, and a coefficient is defined to represent how closely correlated the wavelet is with each part of the signal. The larger the coefficient is in absolute value, the more the similarity appears. The wavelet is shifted until it covers the whole signal. The threshold coefficient is defined after performing the experiment for the tag with bit ‘11111’ number of times under different environmental changes. By the variation in the detected signal under different circumstances a minimum and maximum coefficient is set giving rise to a confident band for detection. Figure 3 – New adopted wavelet pattern using Gaussian function 2.3. Flowchart for Detection Algorithm The flowchart given in Fig 4, shows the steps of the developed algorithm and how it is applied to the received signal. First the measured results using VNA are loaded into Matlab. The post processing is performed using Matlab programming software. The program can be directly downloaded to the microcontroller of the frequency domain reader developed by the research group which will be implemented in the next step of this research. A baseline removal is performed on the first results to remove the nulls of the antenna S11. Then the wavelet is defined and is integrated with the resulting signal. The tag ID is decoded based on the condition band defined for the detection. Experiments have been performed under different indoor dynamic environments such as placing clutter objects above the chipless RFID tag. Fig 8, shows the placing of hand 7cm above covering the tag adding back reflection to the received signal. Similarly, a copper plate was also placed above the tag at 7cm, and the received signal was observed using the VNA.
Computer Science & Information Technology (CS & IT) 33 Figure 7 – Flowchart for applying the detection algorithm Figure 8 – placing hand on top of the tag at 7cm distance giving attenuation to the signal received at the VNA
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NEED FOR A SOFT DIMENSION Pradeep W
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AUTHORS Computer Science & Informat
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AUTHOR INDEX Abdullah A. Al-Shaher
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