scholarly journals POWER COMPONENTS ESTIMATION ACCORDING TO IEEE STANDARD 1459-2010

2021 ◽  
Vol 25 (4) ◽  
Author(s):  
Miodrag Kušljević ◽  
Predrag Poljak ◽  
Josif Tomić
Keyword(s):  
Phase Shifters ◽  
Power Measurement ◽  
Estimation Accuracy ◽  
Fir Filters ◽  
Design And Implementation ◽  
Decimation Filters ◽  
Low Pass ◽  
Cascade Structure ◽  
Ieee Standard ◽  
Simulation Results

In this paper, the design and implementation of a novel recursive method for the power measurement according to the IEEE Standard 1459–2010 have been described. The most important parts are adaptive band- and low-pass FIR filters that extract fundamental and dc components, respectively. In addition, by using oversampling techniques and decimation filters, coefficient sensitivity problems of the large-order FIR comb cascade structure are overridden and the parameter estimation accuracy is improved. The symmetrical components are estimated through transformation matrix of adaptive phase shifters. The effectiveness of the proposed techniques is demonstrated by simulation results.

A CMOS Fourth-Order 150Hz Low-Pass Filter for Sensor Applications

2013 ◽  
Vol 380-384 ◽  
pp. 3320-3323
Author(s):  
Chang Chun Dong ◽  
Nan Nan Liu ◽  
Zhan Peng Jiang
Keyword(s):  
Fourth Order ◽  
Cutoff Frequency ◽  
Cmos Process ◽  
Sensor Interface ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Sensor Applications ◽  
Low Pass ◽  
Cascade Structure ◽  
Simulation Results

A low-pass filter for the sensor is presented, which based on the linearized transconductance structure and the capacitance scaler schemes. The filter adopt fourth order cascade structure, and simulation by 0.5μm CMOS process. Simulation results for the filter show a cutoff frequency of 150Hz, while band ripple is less than 0.8 dB. The power consumption for the filter is only 1.6mW, meet the requirements of the sensor interface ASIC for low-pass filter.

scholarly journals Design and Implementation of Low-Pass, High-Pass and Band-Pass Finite Impulse Response (FIR) Filters Using FPGA

2015 ◽  
Vol 06 (02) ◽  
pp. 30-48 ◽  
Author(s):  
Emmanuel S. Kolawole ◽  
Warsame H. Ali ◽  
Penrose Cofie ◽  
John Fuller ◽  
C. Tolliver ◽  
...  
Keyword(s):  
Impulse Response ◽  
Finite Impulse Response ◽  
Fir Filters ◽  
Design And Implementation ◽  
Low Pass ◽  
Band Pass ◽  
High Pass

scholarly journals Design and Implementation of Third Order Low Pass Digital FIR Filter using Pipelining Retiming Technique

2021 ◽  
Vol 10 (4) ◽  
pp. 178-184
Author(s):  
Daimond Soibam Singh ◽  
Manoj Kumar
Keyword(s):  
Fir Filter ◽  
Second Order ◽  
Third Order ◽  
Feed Forward ◽  
Design And Implementation ◽  
The Third ◽  
Low Pass ◽  
Simulation Results ◽  
Retiming Technique ◽  
Kaiser Window

This paper presents design and implementation of 3rd order low pass digital FIR filter using pipelining retiming technique. Aim of this paper is to apply pipelining retiming technique on low pass digital FIR filter and compare with the existing second order retimed FIR filter and third order broadcast, non-broadcast low pass FIR filter. MATLAB FDA tool is used to calculate digital FIR filter coefficients. Hamming and Kaiser window methods are used to find out the coefficients of the FIR filter. Broadcast and non broadcast third order low pass FIR filter architectures are used for pipelining retiming .Cutset and feed forward pipelining retiming techniques are used to retime the third order low pass digital FIR filter. We design our algorithm in VHDL and implemented on Xilinx Vivado xc7a35tcpg261-1. Area (LUT), speed and power are calculated using Xilinx Vivado 2015.2 tool. Synthesis and simulation results are discussed in this paper. Speed and area (LUT) of proposed third order low pass FIR filter is improved in comparison with existing designs.

A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation

2013 ◽  
Vol 313-314 ◽  
pp. 1115-1119
Author(s):  
Yong Qi Wang ◽  
Feng Yang ◽  
Yan Liang ◽  
Quan Pan
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Scaling Factor ◽  
Estimation Accuracy ◽  
Nonlinear State Estimation ◽  
Cubature Kalman Filter ◽  
Novel Method ◽  
Simulation Results ◽  
Tracking Filter ◽  
Nonlinear State

In this paper, a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem. The proposed method is named as strong tracking cubature Kalman filter (STCKF). In the STCKF, a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain accordingly. Simulation results indicate STCKF outperforms over EKF and CKF in state estimation accuracy.

ADAPTIVE IDENTIFICATION ALGORITHMS FOR AR SYSTEM DRIVEN BY CHAOTIC SEQUENCE

2003 ◽  
Vol 13 (04) ◽  
pp. 963-972 ◽  
Author(s):  
BAO-YUN WANG ◽  
T. W. S. CHOW ◽  
K. T. NG
Keyword(s):  
Communication System ◽  
Adaptive Algorithms ◽  
Chaotic Sequence ◽  
Estimation Accuracy ◽  
Chaotic Communication ◽  
Adaptive Identification ◽  
System Parameters ◽  
Chaotic Sequences ◽  
Simulation Results ◽  
Typical Method

In this article the identification of AR system driven by chaotic sequences is addressed. This problem emerges in chaotic communication system, in which chaos-modulated signal passes through a channel described as an AR system. Two adaptive algorithms are presented to tackle this problem. Compared with the existing algorithms such as MPSV and MNPE, the proposed algorithms have very low computational complexities and can be used to track the system parameters in a slowly time-variant environment. The obtained simulation results illustrate that the proposed scheme can offer a better estimation accuracy than the conventional typical method in the high SNR case.

Approximation of Equiripple Low-pass FIR Filters

2018 ◽  
Author(s):  
Pavel Zahradnik ◽  
Michal Susta ◽  
Boris Simak ◽  
Miroslav Vlcek
Keyword(s):  
Fir Filters ◽  
Low Pass

scholarly journals Design and Implementation of Compressed Medical Data over an Authenticated Secured

2020 ◽  
Vol 9 (3) ◽  
pp. 1543-1548
Keyword(s):  
Medical Image ◽  
Research Work ◽  
Health Sector ◽  
Image Data ◽  
Medical Data ◽  
Information Network ◽  
Design And Implementation ◽  
Simulation Results ◽  
Medical Image Data ◽  
Secure Transmission

Ideally, secure transmission of medical image data is one of the major challenges in health sector. The National Health Information Network has to protect the data in confidential manner. Storage is also one of the basic concern along with secure transmission. In this paper we propose an algorithm that supports confidentiality, authentication and integrity implementation of the scrambled data before transmitting on the communication medium. Before communication the data is compressed while keeping data encrypted. The research work demonstrate with simulation results. The results shows that the proposed work effectively maintains confidentiality, authentication and integrity. The experimental results evaluated medical image quality like PSNR, MSE, SC, and NAEetc.

scholarly journals Principal Component Analysis For ICP Pose Estimation Of Space Structures

2021 ◽  
Author(s):  
Lun H. Mark
Keyword(s):  
Pose Estimation ◽  
Point Cloud ◽  
Principal Component ◽  
Point Clouds ◽  
Optimal Combination ◽  
Estimation Accuracy ◽  
Space Structures ◽  
Complex Objects ◽  
Error Norm ◽  
Simulation Results

This thesis investigates how geometry of complex objects is related to LIDAR scanning with the Iterative Closest Point (ICP) pose estimation and provides statistical means to assess the pose accuracy. LIDAR scanners have become essential parts of space vision systems for autonomous docking and rendezvous. Principal Componenet Analysis based geometric constraint indices have been found to be strongly related to the pose error norm and the error of each individual degree of freedom. This leads to the development of several strategies for identifying the best view of an object and the optimal combination of localized scanned areas of the object's surface to achieve accurate pose estimation. Also investigated is the possible relation between the ICP pose estimation accuracy and the districution or allocation of the point cloud. The simulation results were validated using point clouds generated by scanning models of Quicksat and a cuboctahedron using Neptec's TriDAR scanner.

scholarly journals A Novel Transformer-less Grid Tie Inverter for Rooftop PV system

2017 ◽  
Vol 16 (1) ◽  
pp. 37-46
Author(s):  
Mahir Mahdee ◽  
Chowdhury Mohammad Samir ◽  
Sunzidur Rahman ◽  
Md. Shabuj Hossain ◽  
Ahmed Mortuza Saleque ◽  
...  
Keyword(s):  
Multilevel Inverter ◽  
Pv System ◽  
Constant Input ◽  
Pv Systems ◽  
Design And Implementation ◽  
Pv Array ◽  
Arduino Microcontroller ◽  
Photo Voltaic ◽  
Simulation Results ◽  
Inverter Topology

This paper presents a relatively new concept for the design and implementation of a grid-tie inverter for photo voltaic (PV) systems. The proposed method will eliminate the uses of battery pack hence overall cost of any PV project will be significantly reduced. As the output of any PV array varies with the variation of solar irradiance hence a boost converter with PID regulated variable duty cycle has been used to keep a constant input to the inverter. Multilevel inverter topology has been proposed for utility grid connectivity. The proposed design is simulated in MATLAB/Simulink and a prototype is also implemented to verify the simulation results. The controllers are implemented in Arduino microcontroller board.

scholarly journals Principal Component Analysis For ICP Pose Estimation Of Space Structures

2021 ◽  
Author(s):  
Lun H. Mark
Keyword(s):  
Pose Estimation ◽  
Point Cloud ◽  
Principal Component ◽  
Point Clouds ◽  
Optimal Combination ◽  
Estimation Accuracy ◽  
Space Structures ◽  
Complex Objects ◽  
Error Norm ◽  
Simulation Results

This thesis investigates how geometry of complex objects is related to LIDAR scanning with the Iterative Closest Point (ICP) pose estimation and provides statistical means to assess the pose accuracy. LIDAR scanners have become essential parts of space vision systems for autonomous docking and rendezvous. Principal Componenet Analysis based geometric constraint indices have been found to be strongly related to the pose error norm and the error of each individual degree of freedom. This leads to the development of several strategies for identifying the best view of an object and the optimal combination of localized scanned areas of the object's surface to achieve accurate pose estimation. Also investigated is the possible relation between the ICP pose estimation accuracy and the districution or allocation of the point cloud. The simulation results were validated using point clouds generated by scanning models of Quicksat and a cuboctahedron using Neptec's TriDAR scanner.

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