scholarly journals GPS Satellite Kinematic Relative Positioning: Analyzing and Improving the Functional Mathematical Model Using Wavelets

2009 ◽  
Vol 2009 ◽  
pp. 1-18 ◽  
Author(s):  
Eniuce Menezes de Souza ◽  
João Francisco Galera Monico ◽  
Aylton Pagamisse
Keyword(s):  
Mathematical Model ◽  
Kalman Filter ◽  
Functional Model ◽  
High Accuracy ◽  
Double Difference ◽  
Relative Positioning ◽  
Wavelet Method ◽  
Multipath Effect ◽  
Kinematic Relative Positioning ◽  
Insight Into

Although GPS kinematic relative positioning can provide high accuracy, GPS observables, like any other kind of measurement, are not free of errors. Indeed, they have several kinds of errors. In this paper, we show how to construct a functional mathematical model within the context of a Kalman Filter in order to eliminate most of these errors. Furthermore, we discuss how the multipath effect, a kind of error not modeled in the functional model, can be corrected using the proposed wavelet method. The behavior of the double difference functional model in the kinematic mode is also demonstrated and analyzed aiming to provide better insight into the problem. The results obtained from the multipath experiments were very promising and are presented here.

The Research on Ambiguity Processing of GPS Deformation Monitor

2012 ◽  
Vol 204-208 ◽  
pp. 2787-2791
Author(s):  
Jian Yang ◽  
Hao Wu
Keyword(s):  
Real Time ◽  
Calculation Method ◽  
Carrier Phase ◽  
Direct Calculation ◽  
High Accuracy ◽  
Processing Method ◽  
Double Difference ◽  
Relative Positioning ◽  
Time Dynamic ◽  
Continuous Monitor

In high accuracy GPS deformation monitor application,we usually use GPS relative positioning, establishing the positioning model with double-difference carrier phase observation to accomplish high accuracy positioning. In accordance with different deformation monitor mode, the processing methods of double-difference ambiguity are accordingly different. In periodical repeated monitor, we usually use routine GPS static relative positioning processing method; in stationary and continuous monitor, we can adopt a DC (direct calculation) method; while in real-time dynamic monitor, we choose a plan of known ambiguity transferring. The paper discusses the ambiguity processing procedures in three different deformation monitor modes, and uses examples proving them.

Effect of mobility conditions on the throughput of the Wireless Body Area Network

2020 ◽  
Vol 10 ◽  
Author(s):  
Shilpa Shinde ◽  
Santosh Sonavane
Keyword(s):  
Mathematical Model ◽  
Wireless Body Area Network ◽  
Data Rate ◽  
Hand Movements ◽  
Body Area Network ◽  
Area Network ◽  
Mobility Patterns ◽  
Body Area ◽  
Insight Into ◽  
Leg Movements

Background and objective: In the Wireless Body Area Network (WBAN) sensors are placed on the human body; which has various mobility patterns like seating, walking, standing and running. This mobility typically assisted with hand and leg movements on which most of the sensors are mounted. Previous studies were largely focused on simulations of WBAN mobility without focusing much on hand and leg movements. Thus for realistic studies on performance of the WBAN, it is important to consider hand and leg movements. Thus, an objective of this paper is to investigate an effect of the mobility patterns with hand movements on the throughput of the WBAN. Method: The IEEE 802.15.6 requirements are considered for WBAN design. The WBAN with star topology is used to connect three sensors and a hub. Three types of mobility viz. standing, walking and running with backward and forward hand movements is designed for simulation purpose. The throughput analysis is carried out with the three sets of simulations with standing, walking and running conditions with the speed of 0 m/s, 0.5 m/s and 3 m/s respectively. The data rate was increased from 250 Kb to 10000 Kb with AODV protocol. It is intended to investigate the effect of the hand movements and the mobility conditions on the throughput. Simulation results are analyzed with the aid of descriptive statistics. A comparative analysis between the simulated model and a mathematical model is also introduced to get more insight into the data. Results: Simulation studies showed that as the data rate is increased, throughput is also increased for all mobility conditions however, this increasing trend was discontinuous. In the standing (static) position, the throughput is found to be higher than mobility (dynamic) condition. It is found that, the throughput is better in the running condition than the walking condition. Average values of the throughput in case of the standing condition were more than that of the dynamic conditions. To validate these results, a mathematical model is created. In the mathematical model, a same trend is observed. Conclusion: Overall, it is concluded that the throughput is decreased due to mobility of the WBAN. It is understood that mathematical models have given more insight into the simulation data and confirmed the negative effect of the mobility conditions on throughput. In the future, it is proposed to investigate effect of interference on the designed network and compare the results.

Multi-Object Multi-Discipline Probabilistic Design of High-Pressure Turbine Blade-Tip Radial Running Clearance

2013 ◽  
Vol 572 ◽  
pp. 551-554
Author(s):  
Wen Zhong Tang ◽  
Cheng Wei Fei ◽  
Guang Chen Bai
Keyword(s):  
Mathematical Model ◽  
High Pressure ◽  
Optimal Design ◽  
Mechanical System ◽  
High Accuracy ◽  
Probabilistic Design ◽  
High Pressure Turbine ◽  
Surface Method ◽  
Blade Tip ◽  
The Mathematical Model

For the probabilistic design of high-pressure turbine (HPT) blade-tip radial running clearance (BTRRC), a distributed collaborative response surface method (DCRSM) was proposed, and the mathematical model of DCRSM was established. From the BTRRC probabilistic design based on DCRSM, the static clearance δ=1.865 mm is demonstrated to be optimal for the BTRRC design considering aeroengine reliability and efficiency. Meanwhile, DCRSM is proved to be of high accuracy and efficiency in the BTRRC probabilistic design. The present study offers an effective way for HPT BTRRC dynamic probabilistic design and provides also a promising method for the further probabilistic optimal design of complex mechanical system.

Future Positioning Technologies and their Application to the Automotive Sector

2001 ◽  
Vol 54 (3) ◽  
pp. 321-328 ◽  
Author(s):  
Andrew Sage
Keyword(s):  
Mobile Phone ◽  
High Accuracy ◽  
Location Based Services ◽  
Automotive Sector ◽  
Insight Into ◽  
Choice Of Technology

The widespread commercial availability of location-based services depends upon every new mobile phone including positioning capability. The timescales for the introduction of these devices is far from clear, and yet the demand for high accuracy services is already increasing, particularly in the automotive and telematics sector. This paper presents a summary of the current and emerging positioning technologies, their capability, predicted timescales and their suitability for the in-car environment. Will GPS levels of accuracy be available in the mobile phone? Who are the various commercial players that may affect the ultimate choice of technology? Have new satellite services such as Galileo left it too late? The paper attempts to answer these and other questions whilst offering an insight into the convergence of satellite and cellular positioning.

scholarly journals Finding Top-kCovering Irreducible Contrast Sequence Rules for Disease Diagnosis

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yuhai Zhao ◽  
Yuan Li ◽  
Ying Yin ◽  
Gang Sheng
Keyword(s):  
Classification Accuracy ◽  
Disease Diagnosis ◽  
High Accuracy ◽  
Discriminative Power ◽  
Disease Phenotypes ◽  
The Common ◽  
The Individual ◽  
Sequence Rule ◽  
Insight Into ◽  
Sequence Rules

Diagnostic genes are usually used to distinguish different disease phenotypes. Most existing methods for diagnostic genes finding are based on either the individual or combinatorial discriminative power of gene(s). However, they both ignore the common expression trends among genes. In this paper, we devise a novel sequence rule, namely, top-kirreducible covering contrast sequence rules (TopkIRs for short), which helps to build a sample classifier of high accuracy. Furthermore, we propose an algorithm called MineTopkIRs to efficiently discover TopkIRs. Extensive experiments conducted on synthetic and real datasets show that MineTopkIRs is significantly faster than the previous methods and is of a higher classification accuracy. Additionally, many diagnostic genes discovered provide a new insight into disease diagnosis.

Modified wavelet method for solving fractional variational problems

2020 ◽  
pp. 107754632093202
Author(s):  
Haniye Dehestani ◽  
Yadollah Ordokhani ◽  
Mohsen Razzaghi
Keyword(s):  
Error Analysis ◽  
Operational Matrix ◽  
Approximate Solutions ◽  
Variational Problems ◽  
High Accuracy ◽  
Construction Method ◽  
Computational Method ◽  
Wavelet Method ◽  
Fractional Variational Problems ◽  
Operational Matrix Of Integration

In this article, a newly modified Bessel wavelet method for solving fractional variational problems is considered. The modified operational matrix of integration based on Bessel wavelet functions is proposed for solving the problems. In the process of computing this matrix, we have tried to provide a high-accuracy operational matrix. We also introduce the pseudo-operational matrix of derivative and the dual operational matrix with the coefficient. Also, we investigate the error analysis of the computational method. In the examples section, the behavior of the approximate solutions with respect to various parameters involved in the construction method is tested to illustrate the efficiency and accuracy of the proposed method.

Aircraft flow angles calibration via observed-based wind estimation

2019 ◽  
Vol 91 (7) ◽  
pp. 1033-1038
Author(s):  
Francesco Schettini ◽  
Gianpietro Di Rito ◽  
Eugenio Denti
Keyword(s):  
Kalman Filter ◽  
Reference Data ◽  
Angle Of Attack ◽  
High Accuracy ◽  
Data Systems ◽  
Content Type ◽  
Novel Approach ◽  
Reference Measurements ◽  
Long Endurance ◽  
Practical Implications

Purpose This paper aims to propose a novel approach, in which the reference data for the flow angles calibration are obtained by using measurements coming from an inertial navigation system and an air data sensor. Design/methodology/approach This is obtained by using the Kalman filter theory for the evaluation of the reference angle-of-attack and angle-of-sideslip. Findings The designed Kalman filter has been implemented in Matlab/Simulink and validated using flight data coming from two very different aircraft, the Piaggio Aerospace P1HH medium altitude long endurance unmanned aerial system and the Alenia-Aermacchi M346 Master™ transonic trainer. This paper illustrates some results where the filter satisfactory behaviour is verified by comparing the filter outputs with the data coming from high-accuracy nose-boom vanes. Practical implications The methodology aims to lower the calibration costs of the air data systems of an advanced aircraft. Originality/value The calibration of air-data systems for the evaluation of the flow angles is based on the availability of high-accuracy reference measurements of angle-of-attack and angle-of-sideslip. Typically, these are obtained by auxiliary sensors directly providing the reference angles (e.g. nose-boom vanes). The proposed methodology evaluates the reference angle-of-attack and angle-of-sideslip by analytically reconstructing them using calibrated airspeed measurements and inertial data.

Dynamic Requisition-Compensation Balance Theory of Mining-under Village Relocation Planning Based on PSO Algorithm

2014 ◽  
Vol 587-589 ◽  
pp. 128-131
Author(s):  
Ya Kai Chen ◽  
Dong Wen Liu ◽  
Zhi Yong Qiao ◽  
Ting Ting Wang ◽  
Shu Jiang
Keyword(s):  
Mathematical Model ◽  
Arable Land ◽  
Pso Algorithm ◽  
High Accuracy ◽  
Balance Theory ◽  
Land Area ◽  
Swarm Optimization ◽  
Land Conflict ◽  
Reclamation Project ◽  
Per Capita

This study has improved traditional ‘requisition first compensation later’ theory and ‘compensation first requisition later’ theory, and proposed dynamic requisition-compensation balance theory. Mathematical model of mining-under village relocation is established, and the particle swarm optimization (PSO) algorithm is used to optimize the stage relocation planning of dynamic requisition-compensation balance theory. The result shows that, this new theory can effectively solve land using problems such as land requisition difficulty and land compensation difficulty, reduce the human-land conflict, ensure execute relocation smoothly, promote reclamation project implementation, and can guarantee a certain amount of arable land surplus; The PSO algorithm can maximize both the surplus land area and the per capita building land area of farmer with high accuracy.

Iterated Cubature Kalman Filter for State Estimation of Maneuver Reentry Vehicle

2012 ◽  
Vol 466-467 ◽  
pp. 1329-1333
Author(s):  
Jing Mu ◽  
Chang Yuan Wang
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Unscented Kalman Filter ◽  
High Accuracy ◽  
Estimation Accuracy ◽  
Reentry Vehicle ◽  
Vehicle Simulation ◽  
Cubature Kalman Filter ◽  
Simulation Results ◽  
Iterate Process

We present the new filters named iterated cubature Kalman filter (ICKF). The ICKF is implemented easily and involves the iterate process for fully exploiting the latest measurement in the measurement update so as to achieve the high accuracy of state estimation We apply the ICKF to state estimation for maneuver reentry vehicle. Simulation results indicate ICKF outperforms over the unscented Kalman filter and square root cubature Kalman filter in state estimation accuracy.

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