A Programmable ASIC Design of a Low Sensitivity Sampled Data Filter
MetadataShow full item record
In this paper, a CMOS custom Integrated Circuit featuring a multi-stage Universal Switched-Capacitor (SC) Filter is introduced. The network is based on the Generalized Immittance Converter (GIC) configuration, known for its excellent passive and active sensitivities. CMOS switches were used for elements relocation and are digitally controlled to select and realize different filter topologies. Switches were also used to control banks of binary-weighted capacitors that determine the filter center frequency, quality factor as well as its order. The bilinear transformation was utilized in the SC implementation of the filter resistive elements. Extra care was considered in the design procedure to minimize the effect of stray capacitors on the network transfer functions. The result was a general purpose digitally programmable multi-stage network that can equally compete with the best available stray insensitive filter. The design also inherits the low active and passive sensitivities the GIC enjoys.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Kuchler, Ryan J. (Monterey California. Naval Postgraduate School, 2002);In this thesis, underwater acoustic communications signal processing techniques, which are used to equalize the distortional effects associated with the ocean as a communications channel, are investigated for a shallow ...
Kuchler, Ryan J. (Monterey, California: Naval Postgraduate School, 2002-06);In this thesis, underwater acoustic communications signal processing techniques, which are used to equalize the distortional effects associated with the ocean as a communications channel, are investigated for a shallow ...
Sun, Xin; Xie, Geoffrey G. (IEEE, 2016-03);Today, the network design process remains ad hoc and largely complexity agnostic, often resulting in suboptimal networks characterized by excessive amounts of dependence and commands in device configurations. The unnecessary ...