Automatic Test Stimulus Generation for Diagnosis of RF Transceivers Using Model Parameter Estimation PROJECT TITLE :Automatic Test Stimulus Generation for Diagnosis of RF Transceivers Using Model Parameter EstimationABSTRACT:During this brief, an optimized check stimulus generation technique is proposed for model parameter computation-based diagnosis and testing, which will give a terribly compact deterministic take a look at signal and results in vital reduction in check time. The proposed test stimulus generation algorithm maximizes the accuracy with which a nonlinear solver can determine RF transceiver model parameters from raw downconverted check response data. The simulation results show that using optimized take a look at signals, a comprehensive range of model parameters can be computed accurately employing a single knowledge acquisition. Knowledge from experiments performed on a hardware prototype are shown to validate the proposed methodology. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Virtual Prototyper (ViPro): An SRAM Design Tool for Yield Constrained Optimization Amorphous Silicon Solar Vivaldi Antenna
