Feasibility Study of a Capacitive MEMS Filter Using Electrostatic Levitation

2019 ◽  
Author(s):  
Mark Pallay ◽  
Shahrzad Towfighian
Keyword(s):  
Mechanical Response ◽  
Filter Design ◽  
Signal To Noise Ratio ◽  
Capacitive Sensor ◽  
Electrostatic Levitation ◽  
Plate Electrode ◽  
System A ◽  
Capacitive Mems ◽  
Mems Filter ◽  
Large Output

Abstract We introduce a capacitive MEMS filter that uses electrostatic levitation for actuation and sensing. The advantage of this electrode configuration is that it does not suffer from the pull-in instability and therefore tremendously high voltages can be applied to this system. A large sensing voltage will produce a large output signal, which boosts the signal to noise ratio. The filter outputs about a 110mV peak-to-peak signal when operated at 175V, and can be boosted to 175mV by increasing the voltage to 250V. Because pull-in is eliminated, voltages much higher than 250V can be applied. An outline of the filter design and operating principle is discussed. A model of the filter is derived and analyzed to show the mechanical response and approximate peak-to-peak signal output. This study shows the feasibility of a capacitive sensor that is based on electrostatic levitation, and outlines the advantages it has over traditional parallel-plate electrode configurations. This design is promising for signal signal processing applications where large strokes are important.

Median Morphological Filter Design Based on the PSO Algorithm

2011 ◽  
Vol 128-129 ◽  
pp. 181-184
Author(s):  
You Lian Zhu ◽  
Cheng Huang
Keyword(s):  
Filter Design ◽  
Design Method ◽  
Signal To Noise Ratio ◽  
Pso Algorithm ◽  
Morphological Operations ◽  
Morphological Filter ◽  
Signal To Noise ◽  
Noise Ratio ◽  
The Cost ◽  
Filter Design Method

Design of morphological filter greatly depends on morphological operations and structuring elements selection. A filter design method used median closing morphological operation is proposed to enhance the image denoising ability and the PSO algorithm is introduced for structural elements selecting. The method takes the peak value signal-to-noise ratio (PSNR) as the cost function and may adaptively build unit structuring elements with zero square matrix. Experimental results show the proposed method can effectively remove impulse noise from a noisy image, especially from a low signal-to-noise ratio (SNR) image; the noise reduction performance has obvious advantages than the other.

scholarly journals Error Correction for FSI-Based System without Cooperative Target Using an Adaptive Filtering Method and a Phase-Matching Mosaic Algorithm

2018 ◽  
Vol 8 (10) ◽  
pp. 1954 ◽  
Author(s):  
Xing-Ting Xiong ◽  
Xing-Hua Qu ◽  
Fu-Min Zhang
Keyword(s):  
Adaptive Filtering ◽  
Signal To Noise Ratio ◽  
Incident Angle ◽  
External Cavity ◽  
Phase Matching ◽  
Maximum Deviation ◽  
External Cavity Laser ◽  
Filtering Method ◽  
System A ◽  
Sampling Points

In our frequency scanning interferometry-based (FSI-based) absolute distance measurement system, a frequency sampling method is used to eliminate the influence of laser tuning nonlinearity. However, because the external cavity laser (ECL) has been used for five years, factors such as the mode hopping of the ECL and the low signal-to-noise ratio (SNR) in a non-cooperative target measurement bring new problems, including erroneous sampling points, phase jumps, and interfering signals. This article analyzes the impacts of the erroneous sampling points and interfering signals on the accuracy of measurement, and then proposes an adaptive filtering method to eliminate the influence. In addition, a phase-matching mosaic algorithm is used to eliminate the phase jump, and a segmentation mosaic algorithm is used to improve the data processing speed. The result of the simulation proves the efficiency of our method. In experiments, the measured target was located at eight different positions on a precise guide rail, and the incident angle was 12 degrees. The maximum deviation of the measured results between the FSI-based system and the He-Ne interferometer was 9.6 μm, and the maximum mean square error of our method was 2.4 μm, which approached the Cramer-Rao lower bound (CRLB) of 0.8 μm.

scholarly journals Dual-hop Relaying Networks for Short-Packet URLLCs: Performance analysis and Optimization

2021 ◽  
Author(s):  
Nguyen Thi Yen Linh ◽  
Tu Ngo Hoang ◽  
Pham Ngoc Son ◽  
Vo Nguyen Quoc Bao
Keyword(s):  
Fading Channels ◽  
Optimization Problems ◽  
Signal To Noise Ratio ◽  
Error Rates ◽  
Decode And Forward ◽  
Location Optimization ◽  
Maximum Ratio Combining ◽  
System A ◽  
Qualitative Conclusion ◽  
Short Packet

<div>This paper investigates short-packet communications for the dual-hop decode-and-forward relaying system to facilitate ultra-reliable and low-latency communications. In this system, a selected relay having the highest signal-to-noise ratio (SNR) serves as a forwarder to support the unavailable direct link between the source and destination, whereas a maximum ratio combining technique is leveraged at the destination to achieve the highest diversity gain. Approximated expressions of end-to-end (e2e) block error rates (BLERs) are derived over quasi-static Rayleigh fading channels and the finite-blocklength regime. To gain more insights about the performance behavior in the high-SNR regime, we provide the asymptotic analysis with two approaches, from which the qualitative conclusion based on the diversity order is made. Furthermore, the power allocation and relay location optimization problems are also considered to minimize the asymptotic e2e BLER under the configuration constraints. Our analysis is verified through Monte-Carlo simulations, which yield the system parameters' impact on the system performance.</div>

Towards a high bias voltage MEMS filter using electrostatic levitation

2021 ◽  
Vol 150 ◽  
pp. 107250
Author(s):  
Mark Pallay ◽  
Ronald N. Miles ◽  
Shahrzad Towfighian
Keyword(s):  
Bias Voltage ◽  
Electrostatic Levitation ◽  
High Bias Voltage ◽  
High Bias ◽  
Mems Filter

High Speed Federated Filter Design and Implementation

2013 ◽  
Vol 694-697 ◽  
pp. 2535-2539
Author(s):  
K.B Zhang ◽  
J.M Gao ◽  
P.L Jiang
Keyword(s):  
High Speed ◽  
Filter Design ◽  
Integrated Navigation ◽  
Information Distribution ◽  
Simulation Experiments ◽  
Integrated Navigation System ◽  
Design And Implementation ◽  
System A ◽  
Fpga Chip ◽  
Computing Structure

The theory of federal filter based on the Kalman filter is investigated in the design process, as well as the federal filter information distribution. Considering the advantage of parallel computing structure, the FPGA chip is selected and used to realize the IP core encapsulation and design of Federated Filter. The filtering speed is greatly improved to meet federal filter integrated navigation system. A group simulation experiments are conducted. The results shown that the filtering accuracy and filtering time of federal filter are both improved using the proposed method.

scholarly journals Classification Accuracy Enhancement Based Machine Learning Models and Transform Analysis

2021 ◽  
Vol 23 (2) ◽  
pp. C44-C53
Author(s):  
Hanan A. R. Akkar ◽  
Wael A. H. Hadi ◽  
Ibraheem H. Al-Dosari ◽  
Saadi M. Saadi ◽  
Aseel Ismael Ali
Keyword(s):  
Machine Learning ◽  
Mean Squared Error ◽  
Detection System ◽  
Signal To Noise Ratio ◽  
Leak Detection ◽  
The Novel ◽  
Denoising Method ◽  
System A ◽  
New Novel ◽  
Water Pipeline

The problem of leak detection in water pipeline network can be solved by utilizing a wireless sensor network based an intelligent algorithm. A new novel denoising process is proposed in this work. A comparison study is established to evaluate the novel denoising method using many performance indices. Hardyrectified thresholding with universal threshold selection rule shows the best obtained results among the utilized thresholding methods in the work with Enhanced signal to noise ratio (SNR) = 10.38 and normalized mean squared error (NMSE) = 0.1344. Machine learning methods are used to create models that simulate a pipeline leak detection system. A combined feature vector is utilized using wavelet and statistical factors to improve the proposed system performance.

Development of a Magnified Mechanism for Fast Tool Servo System

2012 ◽  
Vol 516 ◽  
pp. 317-320 ◽  
Author(s):  
Hong Lu ◽  
S.C. Choi ◽  
S.M. Lee ◽  
C.H. Park ◽  
D.W. Lee
Keyword(s):  
Capacitive Sensor ◽  
Fast Tool Servo ◽  
Pzt Actuator ◽  
Tool Holder ◽  
Flexure Mechanism ◽  
System A ◽  
Motion Range ◽  
Ultra Precision ◽  
Input Motion ◽  
The Given

Flexure-hinge mechanisms are commonly used in the design of translational micro/nanopositioning stages. They can offer a drive system with negligible friction and no need for lubrication. Usually, a large motion range requires the use of a very long actuator which could interfere with a tight workplace. A lever which amplifies the input motion of a short actuator is an effective technique to solve the problem. This paper presents the methodology for the design of a lever-type magnified flexure mechanism used for the ultra precision fast tool servo (FTS) system. A lever type hinge mechanism is designed and utilized to guide the tool holder and to preload the PZT actuator. A low capacitance PZT actuator is adopted to match the given amplifier to achieve optimum performance of device displacement. A high resolution capacitive sensor is utilized to measure the natural displacement of the tool holder. An amplifier with a multiplying factor of 12 is utilized to magnify the drive signal for the expansion and retraction of the PZT actuator. Meanwhile, the motion range of the FTS system can reach up to 98.12 μm with a primary resonant frequency of about 460 Hz, and the amplification of the lever flexure mechanism is approximately 5 as calculated from the experiment.

Evaluation of inter-aircraft optical wireless communication system with different modulation formats

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Saumya Srivastava ◽  
Kamal Kishor Upadhyay ◽  
Narendra Kumar Shukla
Keyword(s):  
Wireless Communication ◽  
Communication System ◽  
Signal To Noise Ratio ◽  
Optical Wireless Communication ◽  
Optical Wireless ◽  
Detection Mechanism ◽  
Modulation Formats ◽  
Pointing Error ◽  
Wireless Communication System ◽  
System A

Abstract In this paper, simulative evaluation of the inter-aircraft optical wireless communication system with the use of different modulation formats like return to zero (RZ), non return to zero (NRZ) and raised cosine by signal to noise ratio (SNR) and quality factor (Q-factor). Performance parameters are attenuation level, transmitting pointing error and scintillation are used to analyse the performance of the system. Including the pre- and post-amplifier configuration in the system, a link range of 100 km is achieved at an acceptable bit error rate and the performance of the system is also enhanced at a 5 Gbps data rate as compared to the earlier detection mechanism.

Application of the Dither Technology in a Fault Detection System

2013 ◽  
Vol 281 ◽  
pp. 71-74
Author(s):  
Na Chen ◽  
Shao Pu Yang ◽  
Cun Zhi Pan
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Detection System ◽  
Signal To Noise Ratio ◽  
Sensor Signal ◽  
Signal To Noise ◽  
Sampling System ◽  
System A ◽  
Fault Diagnosis System ◽  
Direct Guidance

In a fault detection system A/D conversion is a necessary step, in which quantization issues are unavoidable. Problems about quantization effects can be solved properly by using the dither technique. Firstly quantization problems of A/D conversion in a fault diagnosis system are discussed. Then the principle of dithering technique is introduced from the view of probability statistics. In further more, it is tested that fault signals whose amplitude is less than the quantization interval can be extracted, and that coherent harmonic interference in quantizing process can also be eliminated. Finally the result shows that by using dither technique the system can gain an enhanced level of fault detection with a faint signal-to-noise ratio loss, which has a direct guidance on engineering design in sensor-signal-sampling system.

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