A new compact model has been introduced to model on-chip spiral transformers. Unlike conventional models, which are often a compound of two spiral inductor models (i.e., the combination of two coupled … or 2-… sub-circuits), our new model only uses 12 elements to model the whole structure in the form of T topology. The new model is based on the physical meaning, and the process of model derivation is also presented. In addition, a simple parameter extraction procedure is proposed to get the elements' values without any fitting and optimization. In this procedure, a new method has been developed for the parameter extraction of the ladder circuit, which is commonly used to represent the skin effect. In order to verify the model's validity and accuracy, we have compared the simulated and measured self-inductance, quality factor, coupling coefficient and insertion loss, and an excellent agreement has been found over a broad frequency range up to the resonant frequency.
Silicon microstrip detectors are widely used in experiments for space astronomy. Before the detector is assembled, extensive characterization of the silicon microstrip sensors is indispensable and challenging. This work electrically evaluates a series of sensor parameters, including the depletion voltage, bias resistance, metal strip resistance, total leakage current, strip leakage current, coupling capacitance, and interstrip capacitance. Two methods are used to accurately measure the strip leakage current, and the test results match each other well. In measuring the coupling capacitance, we extract the correct value based on a SPICE model and two-port network analysis. In addition, the expression of the measured bias resistance is deduced based on the SPICE model.
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.