A FLL-PLL Cooperative GNSS Weak Signal Tracking Framework

2014 ◽  
Vol 551 ◽  
pp. 470-477 ◽  
Author(s):  
Yang Liu ◽  
Yan Bo Zhu
Keyword(s):  
High Performance ◽  
Signal Attenuation ◽  
Signal Tracking ◽  
Navigation Solution ◽  
Delay Locked Loop ◽  
Dynamic Framework ◽  
Tracking Loops ◽  
Navigation Signals ◽  
Navigation Information ◽  
New Framework

Navigation signals should be steadily tracked to allow the extraction of navigation information, and support the calculation of navigation solution. Generally, extraction of navigation information is realized by GNSS tracking loops, which need to implement two critical operations: 1) tracking parameters should be precisely estimated in order to reliably decode the navigation message. 2) Successive tracking method of navigation information. This paper proposes a novel tracking framework using dynamic FLL assisting PLL strategy and a loop state detection monitor. The new framework extends traditional phase and delay locked loop (PLL/DLL) tracking framework, and contributions mainly lie in two parts. A dynamic framework for parameters adjustment is proposed to avoid tracking failure due to the change of environment, which is complemented in a FLL-PLL cooperative framework. Experimental results demonstrate the advantages of our algorithm compared with standard PLL/DLL framework. It is shown that the algorithm proposed is more suitable for tracking under signal attenuation situation, while maintaining high performance at the same time.

High Performance Working Practices: The New Framework for Nurturing Sustainability?

2011 ◽  
Author(s):  
Ana Martins ◽  
Kevin Brown ◽  
Orlando Pereira ◽  
Isabel Martins
Keyword(s):  
High Performance ◽  
Working Practices ◽  
New Framework

A filter algorithm for receiver tracking loops assisted by inertial information

2021 ◽  
pp. 1-11
Author(s):  
Zhifeng Han ◽  
Zheng Fang
Keyword(s):  
Integration Time ◽  
Frequency Error ◽  
Loop Filter ◽  
Signal Tracking ◽  
Phase Jitter ◽  
Loop Bandwidth ◽  
Tracking Ability ◽  
Negative Effect ◽  
Tracking Loops ◽  
Signal Environment

Abstract In traditional satellite navigation receivers, the parameters of tracking loop such as loop bandwidth and integration time are usually set in the design of the receivers according to different scenarios. The signal tracking performance is limited in traditional receivers. In addition, when the tracking ability of weak signals is improved by extending the integration time, negative effect of residual frequency error becomes more and more serious with extension of the integration time. To solve these problems, this paper presents out research on receiver tracking algorithms and proposes an optimised tracking algorithm with inertial information. The receiver loop filter is designed based on Kalman filter, reducing the phase jitter caused by thermal noise in the weak signal environment and improving the signal tracking sensitivity. To confirm the feasibility of the proposed algorithm, simulation tests are conducted.

THE NEW FRAMEWORK OF APPLICATIONS: THE ALADDIN SYSTEM

2003 ◽  
Vol 12 (06) ◽  
pp. 769-781 ◽  
Author(s):  
ÁKOS ZARÁNDY ◽  
CSABA REKECZKY ◽  
PÉTER FÖLDESY ◽  
ISTVÁN SZATMÁRI
Keyword(s):  
Image Processing ◽  
High Performance ◽  
Development Time ◽  
Algorithm Development ◽  
The World ◽  
Visual Computer ◽  
New Framework

The first CNN technology-based, high performance industrial visual computer called Aladdin is reported. The revolutionary device is the world premier of the ACE4k Cellular Visual Microprocessor (CVM) chip powering an industrial visual computer. One of the most important features of the Aladdin system is the image processing library. The library reduces algorithm development time, provides efficient codes, error free operation in binary, and accurate operation in grayscale nodes. Moreover the library provides an easy way to use the Aladdin system for those who are not familiar with the CNN technology.

scholarly journals Implementation and Analysis of Signal Tracking Loops for Software Defined GPS Receiver

2020 ◽  
Vol 8 (1) ◽  
pp. 9
Author(s):  
Aye Su Su Phyo ◽  
Hla Myo Tun ◽  
Atar Mon ◽  
Sao Hone Pha
Keyword(s):  
Gps Receiver ◽  
Signal Tracking ◽  
Tracking Loops

scholarly journals Two-Step Galileo E1 CBOC Tracking Algorithm: When Reliability and Robustness Are Keys!

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Aleksandar Jovanovic ◽  
Cécile Mongrédien ◽  
Youssef Tawk ◽  
Cyril Botteron ◽  
Pierre-André Farine
Keyword(s):  
Tracking Algorithm ◽  
Tracking Accuracy ◽  
Multipath Mitigation ◽  
Binary Offset Carrier ◽  
Signal Tracking ◽  
Gps Navigation ◽  
Tracking Process ◽  
Galileo Satellite ◽  
Navigation Signals ◽  
Reliability And Robustness

The majority of 3G mobile phones have an integrated GPS chip enabling them to calculate a navigation solution. But to deliver continuous and accurate location information, the satellite tracking process has to be stable and reliable. This is still challenging, for example, in heavy multipath and non-line of sight (NLOS) environments. New families of Galileo and GPS navigation signals, such as Alternate Binary Offset Carrier (AltBOC), Composite Binary Offset Carrier (CBOC), and Time-Multiplex Binary Offset Carrier (TMBOC), will bring potential improvements in the pseudorange calculation, including more signal power, better multipath mitigation capabilities, and overall more robust navigation. However, GNSS signal tracking strategies have to be more advanced in order to profit from the enhanced properties of the new signals.In this paper, a tracking algorithm designed for Galileo E1 CBOC signal that consists of two steps, coarse and fine, with different tracking parameters in each step, is presented and analyzed with respect to tracking accuracy, sensitivity and robustness. The aim of this paper is therefore to provide a full theoretical analysis of the proposed two-step tracking algorithm for Galileo E1 CBOC signals, as well as to confirm the results through simulations as well as using real Galileo satellite data.

STATISTICAL MODELING FOR LEARNING VECTOR QUANTIZER CODEBOOK DESIGN IN THE WAVELET DOMAIN

2010 ◽  
Vol 07 (01) ◽  
pp. 41-50
Author(s):  
P. AROCKIA JANSI RANI ◽  
V. SADASIVAM
Keyword(s):  
High Performance ◽  
Statistical Approach ◽  
Input Image ◽  
Wavelet Domain ◽  
Coding Efficiency ◽  
Codebook Design ◽  
Vector Quantizer ◽  
Effective Manner ◽  
Energy Compaction ◽  
New Framework

A statistical approach for modeling the code vectors designed using a supervised learning neural network is proposed in this paper. Since wavelet-based compression is more robust under transmission and decoding errors, the proposed work is implemented in the wavelet domain. Two crucial issues in compression methods are the coding efficiency and the psycho visual quality achieved while modeling different image regions. In this paper, a high performance wavelet coder which provides a new framework for handling these issues in a simple and effective manner is proposed. First the input image is subjected to wavelet transform. Then the transformed coefficients are subjected to Quantization followed by the well known Huffman Encoder. In the Quantization process, initially a codebook is designed using Learning Vector Quantizer. Since codebook is an essential component for the reconstructed image quality and also to exploit the spatial energy compaction of the codevectors, the codebook is further modeled using Savitzky–Golay polynomial. Experimental results show that the proposed work gives better results in terms of PSNR that are competitive with the state-of-art coders in literature.

INS-Assisted GNSS Signal Tracking Modeling and Assessment

2011 ◽  
Vol 271-273 ◽  
pp. 603-608
Author(s):  
Ping Ye ◽  
Xing Qun Zhan ◽  
Gang Du
Keyword(s):  
Inertial Sensor ◽  
Inertial Navigation ◽  
Phase Lock Loop ◽  
Signal Tracking ◽  
Gnss Receiver ◽  
Tracking Condition ◽  
Tracking Ability ◽  
Tracking Loops ◽  
Tracking Behavior ◽  
Gyro Drift

To improve the tracking performance of GNSS receiver in signal-attenuated environments, phase lock loop (PLL) and delay lock loop (DLL) assisted with Inertial Navigation System (INS) measurements are considered. Combining inertial navigation principles with signal processing, this paper proposes a simplified but efficient mathematical model of INS-assisted second-order tracking loops. Compared with unaided GNSS receiver, the tracking behavior of INS-assisted receiver is quantitatively analyzed, and the kind of INS suitable to guarantee the tracking condition is determined. The results indicate that an INS with 1 deg/h gyro drift is necessary to support PLL, and MEMS inertial sensor with 100 deg/h gyro drift is sufficient to aid DLL to keep favored tracking ability.

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