Analysis of SFIT saw filters using coupling of modes model

Wu, Tsung‐Tsong; Lin, Chih‐Ming

doi:10.1080/02533839.2004.9670952

Cited by 12 publications

(7 citation statements)

References 7 publications

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“…Several studies on wireless chemical sensors and algorithms for SAW sensors were reviewed [ 26 , 27 ]. Meanwhile, certain design technologies, such as coupling of modes, which is an efficient technique for SAW devices, are used before fabrication to find optimal design parameters of the SAW sensors [ 28 ]. All of the abovementioned works provide a good starting point for the development of real practical wireless SAW chemical sensors.…”

Section: Introductionmentioning

confidence: 99%

A Novel Surface Acoustic Wave Sensor Array Based on Wireless Communication Network

Pan¹,

Mu²,

Liu³

et al. 2018

Sensors

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A novel surface acoustic wave (SAW) sensor array based on wireless communication network is prepared. The array is composed of four SAW sensors, a wireless communication network module, and a global positioning system (GPS) module. The four SAW sensors of the array are coated with triethanolamine, polyepichlorohydrin, fluoroalcoholpolysiloxane, and L-glutamic acid hydrochloride to detect hydrogen sulfide (H2S), 2-chloroethyl ethyl sulfide (CEES), dimethylmethylphosphonate (DMMP), and ammonia (NH3) at film thicknesses of 50–100 nm. The wireless communication network module consists of an acquisition unit, a wireless control unit, and a microcontroller unit. By means of Zigbee and Lora technologies, the module receives and transmits the collected data to a PC work station in real-time; moreover, the module can control the sensor array’s working mode and monitor the working status. Simultaneously, the testing location is determined by the GPS module integrated into the SAW sensor array. H2S, CEES, DMMP, and NH3 are detected in 300 m at different concentrations. Given the practical future application in environment in the future, the low, safe concentrations of 1.08, 0.59, 0.10, and 5.02 ppm for H2S, CEES, DMMP, and NH3, respectively, are detected at the lowest concentration, and the sensitivities of different sensors of the sensor array are 32.4, 14.9, 78.1 and 22.6 Hz/ppm, respectively. With the obtained fingerprints and pattern recognition technology, the detected gases can be recognized.

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Section: Introductionmentioning

confidence: 99%

A Novel Surface Acoustic Wave Sensor Array Based on Wireless Communication Network

Pan¹,

Mu²,

Liu³

et al. 2018

Sensors

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“…It is well known that the (COM) model is an efficient technique for SAW device simulation [ 14 , 15 ], and it was used to determine the design parameters of the one-port SAW resonator prior to fabrication. The aim is to obtain low insertion loss and high quality value.…”

Section: Coupling Of Modes (Com) Simulation On Saw Devicesmentioning

confidence: 99%

A Novel Wireless and Temperature-Compensated SAW Vibration Sensor

Wang

Xue

Huang

et al. 2014

Sensors

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A novel wireless and passive surface acoustic wave (SAW) based temperature-compensated vibration sensor utilizing a flexible Y-cut quartz cantilever beam with a relatively substantial proof mass and two one-port resonators is developed. One resonator acts as the sensing device adjacent to the clamped end for maximum strain sensitivity, and the other one is used as the reference located on clamped end for temperature compensation for vibration sensor through the differential approach. Vibration directed to the proof mass flex the cantilever, inducing relative changes in the acoustic propagation characteristics of the SAW travelling along the sensing device, and generated output signal varies in frequency as a function of vibration. A theoretical mode using the Rayleigh method was established to determine the optimal dimensions of the cantilever beam. Coupling of Modes (COM) model was used to extract the optimal design parameters of the SAW devices prior to fabrication. The performance of the developed SAW sensor attached to an antenna towards applied vibration was evaluated wirelessly by using the precise vibration table, programmable incubator chamber, and reader unit. High vibration sensitivity of ∼10.4 kHz/g, good temperature stability, and excellent linearity were observed in the wireless measurements.

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“…Accordingly we adopted the dispersive COM model to derive the relations between the bus-bar currents and the busbar voltages of sub-filters. For the ith sub-filter, the bus-bar currents are related to the bus-bar voltages by the Y-matrix and the relation can be expressed as [11,19]…”

Section: Com Model For Saw Filters With Sfitsmentioning

confidence: 99%

A novel weighted method for layered SAW filters using slanted finger interdigital transducers

Lin¹,

Chen²,

Wu³

2006

J. Phys. D: Appl. Phys.

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In this paper, we propose a novel weighted method to improve the inclined pass-band problem that is intrinsic to surface acoustic wave (SAW) filters with slanted finger interdigital transducers (SFITs). By the dispersive characteristics of SAW in layered piezoelectric substrates, the present method could make the inclined pass-band flatter or the bandwidth wider. We derived a coupling-of-modes model for the calculation of the frequency responses of layered SAW devices with SFITs and calculated the dispersive characteristics of an AlN/silicon layered piezoelectric substrate, such as the phase velocity and the electromechanical coupling coefficient. Then we utilized the dispersive electromechanical coupling coefficient to flatten the inclined pass-band and the dispersive phase velocity to widen the bandwidth. Two designed examples of wide-band layered SAW filters using SFITs on AlN/silicon substrates are presented to prove the validity of the proposed method: one is designed to flatten the inclination of the pass-band; the other, to widen the bandwidth. Results show that the dispersions of layered piezoelectric media are favourable for improving the performance of SFIT-based SAW filters.

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Analysis of SFIT saw filters using coupling of modes model

Cited by 12 publications

References 7 publications

A Novel Surface Acoustic Wave Sensor Array Based on Wireless Communication Network

A Novel Surface Acoustic Wave Sensor Array Based on Wireless Communication Network

A Novel Wireless and Temperature-Compensated SAW Vibration Sensor

A novel weighted method for layered SAW filters using slanted finger interdigital transducers

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