Print Email Facebook Twitter A Fast and Accurate SystemC / SystemC-AMS Model for Super-Regenerative Radio Title A Fast and Accurate SystemC / SystemC-AMS Model for Super-Regenerative Radio Author Ma, K. Contributor Leuken, R. (mentor) Huang, L. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Department of Microelectronics Programme Microelectronics Date 2011-06-29 Abstract A new and precise mixed-signal model for a super-regenerative radio system based on the recent published language SystemC/SystemC-AMS is presented in this thesis. The simulation time of the model is dramatically reduced so that the PLL is able to be included into the model to simulate the frequency difference between the transmitter and receiver. Then the distortion caused by this difference can be simulated. Also, the digital baseband is first included into the model, the digital baseband can be divided into two parts – the transmitter part and the receiver part, the transmitter part realizes the PPM modulation and the receiver part realizes the PPM synchronization algorithm and the PPM decoding. Also it is responsible for the verification of the received data. Moreover, the effects of various practical imperfections are included in this model. The imperfections include high order harmonies, VCO noise, Charge Pump current mismatch, leakage current and so on. With this model, we can not only see the performance of each block, but also the performance of the entire system. The model is verified by a number of simulation tools as well as the measurement results. These comparison results demonstrate that the model is able to precisely reflect the real system behaviour with fast simulation time. They also validate that the SystemC/SystemC-AMS is an efficient and powerful language for mixed-signal modelling. Subject pllsystemcmixed-signal modelling To reference this document use: http://resolver.tudelft.nl/uuid:d2e6698a-95a8-4a8b-a75a-6304729c63f4 Part of collection Student theses Document type master thesis Rights (c) 2011 Ma, K. Files PDF thesis_report_by_kezheng_ma.pdf 2.44 MB Close viewer /islandora/object/uuid:d2e6698a-95a8-4a8b-a75a-6304729c63f4/datastream/OBJ/view