Method for determining of the distance to the object in the hyperbolic navigation system via doppler frequency offsets

«System analysis and applied information science» ◽

10.21122/2309-4923-2021-4-40-46 ◽

2022 ◽

pp. 40-46

Author(s):

V. V. Legkostup ◽

V. E. Markevich

Keyword(s):

Navigation System ◽

Classical Method ◽

Doppler Frequency ◽

Frequency Offsets ◽

Guidance Problem

In this paper, a method for estimating the distance to the object guided along a hyperbola to a target using a bistatic hyperbolic navigation system on a plane is given. At the same time, to solve the guidance problem, the number of required navigation positions is reduced by one in comparison with the classical method of hyperbolic navigation. However, in the guidance algorithms, it is still required to estimate the distance of the targeted object from the center of the base, the methods of obtaining which are considered in the work.

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A Novel Design for the Ultra-Tightly Coupled GPS/INS Navigation System

Journal of Navigation ◽

10.1017/s0373463312000161 ◽

2012 ◽

Vol 65 (4) ◽

pp. 717-747 ◽

Cited By ~ 15

Author(s):

Dah-Jing Jwo ◽

Chi-Fan Yang ◽

Chih-Hsun Chuang ◽

Kun-Chieh Lin

Keyword(s):

Kalman Filter ◽

Particle Filter ◽

Navigation System ◽

Doppler Frequency ◽

Superior Performance ◽

Gps Tracking ◽

Doppler Velocity ◽

Tightly Coupled ◽

Tracking Loops ◽

Number Of Particles

This paper presents a sensor fusion method for the Ultra-Tightly Coupled (UTC) Global Positioning System (GPS)/Inertial Navigation System (INS) integrated navigation. The UTC structure, also known as the deep integration, exhibits many advantages, e.g., disturbance and multipath rejection capability, improved tracking capability for dynamic scenarios and weak signals, and reduction of acquisition time. This architecture involves the integration of I (in-phase) and Q (quadrature) components from the correlator of a GPS receiver with the INS data. The Particle Filter (PF) exhibits superior performance as compared to an Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) in state estimation for the nonlinear, non-Gaussian system. To handle the problem of heavy-tailed probability distribution, one of the strategies is to incorporate the UKF into the PF as the proposal distribution, leading to the Unscented Particle Filter (UPF). The combination of an adaptive UPF and Fuzzy Logic Adaptive System (FLAS) is adopted for reducing the number of particles with sufficiently good results. The GPS tracking loops may lose lock due to the signals being weak, subjected to excessive dynamics or completely blocked. One of the principal advantages of the UTC structure is that a Doppler frequency derived from the INS is integrated with the tracking loops to improve the receiver tracking capability. The Doppler frequency shift is calculated and fed to the GPS tracking loops for elimination of the effect of stochastic errors caused by the Doppler frequency. In this paper, several nonlinear filtering approaches, including EKF, UKF, UPF and ‘FLAS assisted UPF’ (FUPF), are adopted for performance comparison for ultra-tight integration of GPS and INS. It is assumed that no outage occurs such that the inertial sensor errors can be properly corrected and accordingly the aiding information is working well. Two examples are provided for performance assessment for the various data fusion methods. The FUPF algorithm with Doppler velocity aiding demonstrates remarkable improvement, especially in the high dynamic environments, in navigation estimation accuracy with reduction of number of particles.

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Doppler frequency offsets estimation for high-mobility OFDM systems

2012 IEEE 11th International Conference on Signal Processing ◽

10.1109/icosp.2012.6491850 ◽

2012 ◽

Cited By ~ 1

Author(s):

Wei Guo ◽

Pengcheng Mu ◽

Qinye Yin ◽

Ke Deng

Keyword(s):

High Mobility ◽

Doppler Frequency ◽

Ofdm Systems ◽

Frequency Offsets

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Determination of Navigation System Positioning Accuracy Using the Reliability Method Based on Real Measurements

Remote Sensing ◽

10.3390/rs13214424 ◽

2021 ◽

Vol 13 (21) ◽

pp. 4424

Author(s):

Mariusz Specht

Keyword(s):

Global Positioning System ◽

Navigation System ◽

Classical Method ◽

Positioning System ◽

Positioning Accuracy ◽

Positioning Systems ◽

Position Errors ◽

Accuracy Measure ◽

Reliability Method ◽

Global Positioning

In navigation, the Twice the Distance Root Mean Square (2DRMS) is commonly used as a position accuracy measure. Its determination, based on statistical methods, assumes that the position errors are normally distributed and are often not reflected in actual measurements. As a result of the widespread adoption of this measure, the positioning accuracy of navigation systems is overestimated by 10–15%. In this paper, a new method is presented for determining the navigation system positioning accuracy based on a reliability model where the system’s operation and failure statistics are referred to as life and failure times. Based on real measurements, the method proposed in this article will be compared with the classical method (based on the 2DRMS measure). Real (empirical) measurements made by the principal modern navigation positioning systems were used in the analyses: Global Positioning System (GPS) (168’286 fixes), Differential Global Positioning System (DGPS) (900’000 fixes) and European Geostationary Navigation Overlay Service (EGNOS) (900’000 fixes). Research performed on real data, many of which can be considered representative, have shown that the reliability method provides a better (compared to the 2DRMS measure) estimate of navigation system positioning accuracy. Thanks to its application, it is possible to determine the position error distribution of the navigation system more precisely when compared to the classical method, as well as to indicate those applications that can be used by this system, ensuring the safety of the navigation process.

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Doppler frequency offsets estimation and diversity reception scheme of high speed railway with multiple antennas on separated carriages

2012 International Conference on Wireless Communications and Signal Processing (WCSP) ◽

10.1109/wcsp.2012.6542876 ◽

2012 ◽

Cited By ~ 11

Author(s):

Yaoqing Yang ◽

Pingyi Fan ◽

Yongming Huang

Keyword(s):

High Speed ◽

Multiple Antennas ◽

Doppler Frequency ◽

Diversity Reception ◽

High Speed Railway ◽

Frequency Offsets

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Neural Network Assisted Vector Tracking Loop for Bridging GPS Signal Outages

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.764-765.560 ◽

2015 ◽

Vol 764-765 ◽

pp. 560-564

Author(s):

Dah Jing Jwo ◽

Zi Ming Wen

Keyword(s):

Neural Network ◽

Navigation System ◽

Doppler Frequency ◽

Numerical Control ◽

Tracking Loop ◽

The Neural Network ◽

Solid Objects ◽

Global Positioning ◽

Vector Tracking ◽

Improved Performance

Signal blockage and reflections from buildings and other large, solid objects can lead to accuracy degradation. One of the merits of the Global Positioning System (GPS) vector tracking loop (VTL) architectures is that the tracking loop can be assisted in such degraded signal environments. This paper proposes the incorporation of the neural network (NN) into the VTL for improving the positioning quality. The NN is used to bridge the GPS signal and prevent the error growth due to signal outage from spreading into the entire tracking loop. The NNs are employed for predicting adequate numerical control oscillator (NCO) inputs, i.e., providing better prediction of residuals for the Doppler frequency and code phase in order to maintain regular operation of the navigation system. The NN-assisted VTL demonstrates the capability to ensure proper functioning of navigation system. Results show that the NN-assisted VTL can effectively provide improved performance during degraded signal environments such as GPS outages.

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Multiple Doppler frequency offsets compensation technique for high-mobility OFDM uplink

2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013) ◽

10.1109/icspcc.2013.6663974 ◽

2013 ◽

Cited By ~ 6

Author(s):

Wei Guo ◽

Pengcheng Mu ◽

Qinye Yin ◽

Hui-Ming Wang

Keyword(s):

High Mobility ◽

Doppler Frequency ◽

Compensation Technique ◽

Frequency Offsets

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Orientation of actin filaments during motion in motility assay

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100136635 ◽

1995 ◽

Vol 53 ◽

pp. 52-53

Author(s):

J. Borejdo ◽

S. Burlacu

Keyword(s):

Actin Filaments ◽

Thin Filament ◽

Striated Muscle ◽

Myosin Head ◽

Classical Method ◽

Polarization Of Fluorescence ◽

Single Protein ◽

Intracellular Organelles ◽

Change Orientation ◽

Active Entity

Polarization of fluorescence is a classical method to assess orientation or mobility of macromolecules. It has been a common practice to measure polarization of fluorescence through a microscope to characterize orientation or mobility of intracellular organelles, for example anisotropic bands in striated muscle. Recently, we have extended this technique to characterize single protein molecules. The scientific question concerned the current problem in muscle motility: whether myosin heads or actin filaments change orientation during contraction. The classical view is that the force-generating step in muscle is caused by change in orientation of myosin head (subfragment-1 or SI) relative to the axis of thin filament. The molecular impeller which causes this change resides at the interface between actin and SI, but it is not clear whether only the myosin head or both SI and actin change orientation during contraction. Most studies assume that observed orientational change in myosin head is a reflection of the fact that myosin is an active entity and actin serves merely as a passive "rail" on which myosin moves.

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