This paper presents the techniques of advanced full path loop-back test without the use of RF option in Automated Test Equipment (ATE) for embedded RF Identification (RFID)System-on-a-Chip (SoC) module. This investigation uses several methods to determine the characteristics of embedded RFID for SoC applications. Test vectors which are generated at control block (i.e. CPU) in the RFID SoC module are used in order to verify the full path test. In addition, an output of the transmitter part and an input of the receiver part in RFID transceiver are connected by using switches and attenuators for achieving the closed loop-back path. The captured signals at Rx output port of RF transceiver work properly because of applying full path loopback test. The measured channel power flatness of 40 KHz input sinusoidal wave when channel is varied from 908.85 MHz to 913.65 MHz is shown to be less than 0.2 dBm in an RFID band, which is excellent stable for transmitting Tx signals. Moreover, 65 KHz sinusoidal output wave has -3 dB attenuated amplitude by the LPF having 64.5 KHz bandwidth at the both Tx and Rx. To achieve a linearity of Rx gain, Programmable Gain Amplifier (PGA) is controlled from 18 dB to 81 dB by using test vectors. These results show, for the first time, that an advanced full path loop-back testing technique has great performance to verify embedded RFID SoC and reduce the cost of test in ATE without the use of RF option.
Same output frequencies at each DUT of the testing circuit are multiplied by different LO frequencies signals at mixers stages, which different fr equency-translated spectrums were captured at capture port simultaneously for achieving fully parallel test ofRF device.~-20 ]
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.