Modeling Design Fabrication and Demonstration of RF Front-End Module with Ultra-Thin Glass Substrate for LTE Applications

Min, Jun‐Ki; Wu, Zihan; Pulugurtha, Markondeya Raj; Smet, Vanessa; Ravindran, Arjun; Hoffmann, Christian; Tummala, Rao

doi:10.1109/ectc.2016.310

Cited by 8 publications

(1 citation statement)

References 6 publications

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“…In addition, because of the smaller footprints and excellent frequency performance characteristics of RF SAW filters, the trend now is to integrate multiple filters into RF modules with switches and power amplifiers. (10)(11)(12) Figure 1 shows the lumped circuit model of a one-port acoustic resonator near resonance, where L m is the motional inductance, C m is the motional capacitance, R m is the motional resistance, and C T is the static capacitance. (5,6) Although well-experienced RF circuit designers can understand the behavior of the components in the network by using a related high-frequency computer-aid software program, the key bottleneck is how to convert the lumped circuit model into structure parameters, which include the period of the interdigital transducer (IDT) (λ), the number of IDT pairs (N p ), the IDT aperture (A), the metal thickness ratio of the electrode (h/λ), and the metallization ratio of the SAW resonator (η).…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Ladder-type Radio Frequency Surface Acoustic Wave Filter Based on Lumped Circuit Model by Using Neural Network

Chung¹,

Huang²,

Hwang³

et al. 2019

Sensors and Materials

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With the development of mobile communication technology, the demand for mobile devices continues to rise. Acoustic devices such as radio frequency (RF) filters and duplexers are widely used in mobile handsets because of their excellent electric performance characteristics. However, the key bottleneck is how to convert a lumped circuit model into the structure parameters of an acoustic resonator for RF circuit designers so that they can apply RF circuit design tools in designing surface acoustic wave (SAW) devices. The neural network (NN) has been widely applied in various science and management areas for its powerful learning and mapping capabilities. In this paper, a method of building a bridge between the lumped equivalent circuit (EC) model and structure parameters of a SAW resonator is proposed. The approach begins with establishing a database that shows the relationship between the values of the lumped EC and corresponding structure parameters of the SAW resonator. A four-layered NN with the back-propagation (BP) algorithm is adopted to determine the relationship between the structure parameters of the SAW resonator and the lumped EC. Then, other input/output pairs are presented to check if the estimated lumped EC matched with original circuit. Finally, as an example, the design of a long term evolution (LTE) transmitter (Tx) filter is developed to demonstrate the proposed approach.

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