Design and Analysis of a Hybrid-Type RF MEMS Phase Detector in X-Band

Han, Juzheng; Ding, Dazhi

doi:10.3390/mi13050786

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…8 shows the measured response curves of device. The response time is typically calculated by the average of the rise time and fall time [10]. As a result, the measured response time is approximately 11.1 ms.…”

Section: Response Characterizations Of Devicementioning

confidence: 99%

Research on thermocouple length for the thermoelectric RF power sensors in 0.18-µm CMOS technology

Li¹,

Liao²

2023

Third International Conference on Sensors and Information Technology (ICSI 2023)

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To achieve good RF power detection performance, the thermocouple length of thermoelectric RF power sensor is studied in this article. The operation principle of the designed RF power sensor is firstly to convert the RF power into thermal power by terminal RF resistors and then convert the thermal power into DC voltage through many thermocouples based on Seebeck effect. Four the thermoelectric RF power sensors with thermocouple lengths of 200, 300, 400 and 500 μm are fabricated by the standard 0.18-μm CMOS technology. The experimental results demonstrate that measured reflection losses are all lower than -20dB in the operational frequency range of 8GHz to 12GHz. This indicates that the designed RF power sensors have good impedance matching characteristics in X-band. As the thermocouple length gradually increases, the measured sensitivities are 1.21 μV/mW, 1.48 μV/mW and 1.59 μV/mW and 1.61 μV/mW at the center frequency of 10 GHz. And the corresponding signal-to-noise ratios (SNR) are approximately 1.116 × 105/W, 1.114 × 105/W, 1.037 × 105/W and 0.933 × 105/W, respectively. The measurement results show that the increasing of the thermocouple length is helpful to improve the sensitivity of the sensor, but the corresponding signal-to-noise ratio will decrease. The results will help improve the future design of the thermoelectric RF power sensors thermocouple-based.

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Section: Response Characterizations Of Devicementioning

confidence: 99%

Research on thermocouple length for the thermoelectric RF power sensors in 0.18-µm CMOS technology

Li¹,

Liao²

2023

Third International Conference on Sensors and Information Technology (ICSI 2023)

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show abstract

“…In particular, when the geometric parameters need to be adjusted repeatedly, the device design cycle is greatly extended. Efficient surrogate models are used in device design to address time consumption [ 2 , 3 ]. The traditional modeling method usually develops and improves the model through continuous testing and repeated correction, which is a slow trial-and-error process.…”

Section: Introductionmentioning

confidence: 99%

A Mesh Space Mapping Modeling Method with Mesh Deformation for Microwave Components

Yan,

Li,

et al. 2023

Micromachines

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In this study, a low-cost space mapping (SM) modeling method with mesh deformation is proposed for microwave components. In this approach, the coarse-mesh model with mesh deformation is developed as the coarse model, and the fine-mesh model is simulated as the fine model. The SM technique establishes the mapping relationship between the coarse-mesh model and the fine-mesh model. This approach enables us to combine the computational efficiency of the coarse model with the accuracy of the fine model. The automatic mesh deformation technology is embedded in the coarse model to avoid the discontinuous change in the electromagnetic response. The proposed model consisting of the coarse model and two mapping modules can represent the features of the fine model more accurately, and predict the electromagnetic response of microwave components quickly. The proposed mesh SM modeling technique is applied to the four-pole waveguide filter. The value for the training and test errors in the proposed model is less than 1%, which is lower than that for the ANN models and the existing SM models trained with the same data. Compared with HFSS software, the proposed model can save about 70% CPU time in predicting a set of 100 data. The results show that the proposed method achieves a good modeling accuracy and efficiency with few training data and a low computational cost.

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Theoretical and Experimental Investigations of an Integrated Microwave Power, Frequency, and Phase Detector for X-Band Applications

Liao

2023

IEEE Sensors J.

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Design and Analysis of a Hybrid-Type RF MEMS Phase Detector in X-Band

Cited by 5 publications

References 24 publications

Research on thermocouple length for the thermoelectric RF power sensors in 0.18-µm CMOS technology

Research on thermocouple length for the thermoelectric RF power sensors in 0.18-µm CMOS technology

A Mesh Space Mapping Modeling Method with Mesh Deformation for Microwave Components

Theoretical and Experimental Investigations of an Integrated Microwave Power, Frequency, and Phase Detector for X-Band Applications

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