High Sensitivity and Fast Acquisition Signal Processing Techniques for GNSS Receivers: From fundamentals to state-of-the-art GNSS acquisition technologies

2017 ◽  
Vol 34 (5) ◽  
pp. 59-71 ◽  
Author(s):  
Seung-Hyun Kong
Keyword(s):  
Signal Processing ◽  
State Of The Art ◽  
High Sensitivity ◽  
Fast Acquisition ◽  
Gnss Receivers ◽  
Processing Techniques ◽  
Signal Processing Techniques

Weak GNSS Signal Acquisition for Indoor Environments

2018 ◽  
pp. 485-514
Author(s):  
Seung-Hyun Kong
Keyword(s):  
Signal Processing ◽  
State Of The Art ◽  
High Sensitivity ◽  
Urban Canyon ◽  
Signal Acquisition ◽  
Indoor Environments ◽  
Weak Signals ◽  
Fast Acquisition ◽  
Processing Techniques ◽  
Signal Processing Techniques

High sensitivity and fast acquisition are two important goals that must be considered in the development of signal processing techniques for a GNSS acquisition function to meet the demands for LBS in GNSS-challenged environments, such as indoor and urban canyon. This chapter introduces the fundamentals of GNSS acquisition functions, GNSS acquisition techniques for new GNSS signals, and GNSS acquisition techniques achieving high sensitivity and fast acquisition. Therefore, this chapter contains useful information for engineers who study the fundamentals and principles of GNSS acquisition and the state-of-the-art GNSS signal acquisition techniques for weak signals.

scholarly journals Accelerometer Based Method for Tire Load and Slip Angle Estimation

Vibration ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 174-186 ◽  
Author(s):  
Kanwar Bharat Singh ◽  
Saied Taheri
Keyword(s):  
Signal Processing ◽  
State Of The Art ◽  
Experimental Results ◽  
Slip Angle ◽  
Special Focus ◽  
Promising Technology ◽  
Research Activities ◽  
Novel Algorithms ◽  
Processing Techniques ◽  
Signal Processing Techniques

Tire mounted sensors are emerging as a promising technology, capable of providing information about important tire states. This paper presents a survey of the state-of-the-art in the field of smart tire technology, with a special focus on the different signal processing techniques proposed by researchers to estimate the tire load and slip angle using tire mounted accelerometers. Next, details about the research activities undertaken as part of this study to develop a smart tire are presented. Finally, novel algorithms for estimating the tire load and slip angle are presented. Experimental results demonstrate the effectiveness of the proposed algorithms.

Effective Tools for Diagnosing Elusive Turbomachinery Dynamics Problems in the Field

1990 ◽  
Vol 112 (4) ◽  
pp. 470-477 ◽  
Author(s):  
H. R. Simmons ◽  
A. J. Smalley
Keyword(s):  
Signal Processing ◽  
Gas Turbine ◽  
State Of The Art ◽  
Rotating Stall ◽  
Blade Vibrations ◽  
Nonintrusive Measurement ◽  
Alternative Techniques ◽  
Processing Techniques ◽  
Dynamics Problems ◽  
Signal Processing Techniques

This paper describes and discusses techniques that can effectively diagnose dynamics problems in turbomachinery. A variety of elusive dynamics problems are identified that require definition, quantification, diagnosis, and monitoring. The state of the art in measurement and signal processing techniques is discussed with reference to such factors as the directness of the measurement, the degree of intrusion required, the difficulty of installation, and the reliability or durability of the sensor. Several examples of techniques are provided that have proved to be effective in diagnosing elusive dynamics problems; some examples allow comparison of alternative techniques with different degrees of effectiveness. Problems addressed include rotating stall in the compressor section of a gas turbine, coupled lateral/torsional vibration in a gas turbine driven pipeline compressor, forced vibration of combustor parts, strain gage telemetry of blade vibrations, and nonintrusive measurement of blade vibrations using bearing-mounted accelerometers.

On Satellite Signal Processing Techniques Applicable to GPS Geodetic Equipment

1982 ◽  
Vol 36 (1) ◽  
pp. 43-55
Author(s):  
Patrick J. Hui
Keyword(s):  
Signal Processing ◽  
Comparative Analysis ◽  
Carrier Phase ◽  
State Of The Art ◽  
Performance Potential ◽  
Phase Measurements ◽  
Trade Offs ◽  
Satellite Signal ◽  
Processing Techniques ◽  
Signal Processing Techniques

Four different signal processing techniques applicable to GPS geodetic equipment are considered in this paper. These are: pseudorange measurements, integrated Doppler counts, carrier phase measurements and interferometric measurements. Hardware requirements and error budgets are reviewed. Inherent performance limitations of each technique and design trade-offs involved in attempting to achieve the full performance potential, using state-of-the-art electronics are discussed. The above provides a basis for comparative analysis of those signal processing techniques applied to GPS geodetic equipment.

Effective Tools for Diagnosing Elusive Turbomachinery Dynamics Problems in the Field

1989 ◽  
Author(s):  
Harold R. Simmons ◽  
Anthony J. Smalley
Keyword(s):  
Signal Processing ◽  
Gas Turbine ◽  
State Of The Art ◽  
Rotating Stall ◽  
Blade Vibrations ◽  
Nonintrusive Measurement ◽  
Alternative Techniques ◽  
Processing Techniques ◽  
Dynamics Problems ◽  
Signal Processing Techniques

This paper describes and discusses techniques which can effectively diagnose dynamics problems in turbomachinery. A variety of elusive dynamics problems are identified which require definition, quantification, diagnosis, and monitoring. The state of the art in measurement and signal processing techniques is discussed with reference to such factors as the directness of the measurement, the degree of intrusion required, the difficulty of installation, and the reliability or durability of the sensor. Several examples of techniques are provided which have proved to be effective in diagnosing elusive dynamics problems; some examples allow comparison of alternative techniques with different degrees of effectiveness. Problems addressed include rotating stall in the compressor section of a gas turbine, coupled lateral/torsional vibration in a gas turbine driven pipeline compressor, forced vibration of combustor parts, strain gage telemetry of blade vibrations, and nonintrusive measurement of blade vibrations using bearing mounted accelerometers.

scholarly journals PHM Survey : Implementation of Signal Processing Methods for Monitoring Bearings and Gearboxes

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Abdenour Soualhi ◽  
Yasmine Hawwari ◽  
Kamal Medjaher ◽  
Guy Clerc ◽  
Razik Hubert ◽  
...  
Keyword(s):  
Signal Processing ◽  
Health Management ◽  
State Of The Art ◽  
Economic Consequences ◽  
Physical Injury ◽  
Maintenance Strategies ◽  
The One ◽  
Processing Techniques ◽  
Signal Processing Methods ◽  
Signal Processing Techniques

The reliability and safety of industrial equipments are one of the main objectives of companies to remain competitive in sectors that are more and more exigent in terms of cost and security. Thus, an unexpected shutdown can lead to physical injury as well as economic consequences. This paper aims to show the emergence of the Prognostics and Health Management (PHM) concept in the industry and to describe how it comes to complement the different maintenance strategies. It describes the benefits to be expected by the implementation of signal processing, diagnostic and prognostic methods in health-monitoring. More specifically, this paper provides a state of the art of existing signal processing techniques that can be used in the PHM strategy. This paper allows showing the diversity of possible techniques and choosing among them the one that will define a framework for industrials to monitor sensitive components like bearings and gearboxes.

scholarly journals TÉCNICAS DE PROCESAMIENTO DE SEÑALES UTILIZADAS PARA EL ANÁLISIS DE LA DISTORSIÓN ARMÓNICA GENERADA POR VARIADORES DE FRECUENCIA EN MOTORES DE INDUCCIÓN

2015 ◽  
Vol 6 (1) ◽  
pp. 72
Author(s):  
Manuel Ivan Balleteros Csmcho ◽  
Francy Julieth Cadena Villalba ◽  
Adolfo Andres Jaramillo Matta
Keyword(s):  
Signal Processing ◽  
Induction Motors ◽  
State Of The Art ◽  
Harmonic Distortion ◽  
Variable Frequency ◽  
Variable Frequency Drive ◽  
Driven System ◽  
Cage Rotor ◽  
Processing Techniques ◽  
Signal Processing Techniques

Se presenta una detallada revisión del estado del arte de las técnicas de procesamiento de señales utilizadas para el análisis de la distorsión armónica generada por variadores de frecuencia en motores de inducción con rotor jaula de ardilla, referenciando algunas de las investigaciones más relevantes relacionadas con este tema. Finalmente, son identificadas oportunidades de investigación que a la fecha no han sido tratadas por la comunidad científica en este campo del conocimiento.Signal Processing Techniques Used for Analyzing Harmonic Distortion Generated by Variable Frequency Drive in Induction Motors Abstract This article presents a detailed review of the state of the art of signal processing techniques used for the analysis of harmonic distortion generated by variable frequency induction motors with squirrel cage rotor is presented, referencing some of the most relevant research related with this issue. Finally, are identified research opportunities that to date have not been addressed by the scientific community in this field of knowledge.Keywords: electric motor-driven system, state of the art, harmonic distortion, signal processing techniques.

scholarly journals EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1423 ◽  
Author(s):  
Natasha Padfield ◽  
Jaime Zabalza ◽  
Huimin Zhao ◽  
Valentin Masero ◽  
Jinchang Ren
Keyword(s):  
Signal Processing ◽  
Feature Extraction ◽  
Feature Selection ◽  
Motor Imagery ◽  
State Of The Art ◽  
Brain Computer Interfaces ◽  
Computer Interfaces ◽  
Processing Techniques ◽  
Imagery Techniques ◽  
Signal Processing Techniques

Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those using motor-imagery (MI) data, have the potential to become groundbreaking technologies in both clinical and entertainment settings. MI data is generated when a subject imagines the movement of a limb. This paper reviews state-of-the-art signal processing techniques for MI EEG-based BCIs, with a particular focus on the feature extraction, feature selection and classification techniques used. It also summarizes the main applications of EEG-based BCIs, particularly those based on MI data, and finally presents a detailed discussion of the most prevalent challenges impeding the development and commercialization of EEG-based BCIs.

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