Bradley Barber

Bulk acoustic wave RF technology

In this article, we will provide an overview of BAW filter technology by discussing comparison between BAW and SAW RF filter technologies, working principles of BAW resonator and filter, BAW resonator key performance parameters, comparison between free-standing bulk acoustic resonator (FBAR) and solidly mounted resonator (SMR) technologies, status of BAW resonator design and models, BAW filter manufacturing challenges, and future BAW technology improvement directions.

Bandwidth Improvement Methods In Acoustically-Coupled Thin Film BAW Devices

In this paper, the results of a stacked crystal filter (SCF) are presented. It is shown that the bandwidth of the SCF can be designed by choice of electrode materials, device dimensions and use of external components such as inductors. This paper also discusses the fabrication of SCF along with the device layouts. A single stage and a two-stage SCF are designed and it is shown that the bandwidth of two-stage can only be increased if the inductor is connected between stages

RF-MEMS resonator design for parameter characterization

A unique methodology involving Bulk Acoustic Wave (BAW) Solidly Mounted Resonators (SMRs) is presented in this paper which can be used to extract precise materials information that is vital to designing high performance RF filters. The novel approach allows simultaneous extraction of multiple parameters for multiple materials. Changes in materials properties over temperature can also be extracted.

11E-0 Improve MBVD Model to Consider Frequency Dependent Loss for BAW Filter Design

With todays Bulk Acoustic Wave (BAW) technology, the BAW resonator has always some undesired modes such as lateral mode and gasket (border edge overlap) mode. The existing modified Butterworth-Van-Dyke (MBVD) model cannot model the loss due to these spurious modes, which results in the failure of predicting filter passband slope distortion. This paper has expanded the current MBVD model to overcome this limitation by modifying its parameters to be frequency dependent. It also discusses how the new frequency dependent MBVD model has been made to be scalable to resonator sizes, thus enabling its use for filter design and optimization.