Software-based Performance Analysis of a Pseudolite Time Synchronization Method Depending on the Clock Source

Lee, Ju Hyun; Hwang, Seung Jae; Yu, Donghui; Park, Chan-Sik; Lee, Sang Jeong

doi:10.11003/jpnt.2014.3.4.163

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…For example, Fig. 19 shows the pseudolite time synchronization method using a GPS timing receiver as developed in [65]. In GPS ground applications, the term pseudolite (or pseudo satellite) is used to refer to some equipment that is not a satellite but which performs a function commonly in the domain of satellites.…”

Section: Clock Error Steering Using Predictive Ufir Structuresmentioning

confidence: 99%

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Review of Unbiased FIR Filters, Smoothers, and Predictors for Polynomial Signals

Yuriy¹,

Yrjö²,

Khan³

2018

FSP

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Extracting an estimate of a slowly varying signal corrupted by noise is a common task. Examples can be found in industrial, scientific and biomedical instrumentation. Depending on the nature of the application the signal estimate is allowed to be a delayed estimate of the original signal or, in the other extreme, no delay is tolerated. These cases are commonly referred to as filtering, prediction, and smoothing depending on the amount of advance or lag between the input data set and the output data set. In this review paper we provide a comprehensive set of design and analysis tools for designing unbiased FIR filters, predictors, and smoothers for slowly varying signals, i.e. signals that can be modeled by low order polynomials. Explicit expressions of parameters needed in practical implementations are given. Real life examples are provided including cases where the method is extended to signals that are piecewise slowly varying. A critical view on recursive implementations of the algorithms is provided.

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Section: Clock Error Steering Using Predictive Ufir Structuresmentioning

confidence: 99%

“…19. A simulation platform that consists of a clock generator, a clock synchronization algorithm processor, and a performance analyzer was designed in [65] as shown in Fig. 20.…”

Section: Clock Error Steering Using Predictive Ufir Structuresmentioning

confidence: 99%

Review of Unbiased FIR Filters, Smoothers, and Predictors for Polynomial Signals

Yuriy¹,

Yrjö²,

Khan³

2018

FSP

View full text Add to dashboard Cite

show abstract

“…Several other applications of UFIR filtering in diverse electronic systems can be found in [54][55][56][57][58][59].…”

Section: Error Reduction In Navigation Systemsmentioning

confidence: 99%

Ultimate iterative UFIR filtering algorithm

2016

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Measurements are often provided in the presence of noise and uncertainties that require optimal filters to estimate processes with highest accuracy. The ultimate iterative unbiased finite impulse response (UFIR) filtering algorithm presented in this paper is more robust in real world than the Kalman filter. It completely ignores the noise statistics and initial values while demonstrating better accuracy under the mismodeling and temporary uncertainties and lower sensitivity to errors in the noise statistics.

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“…Comparing the time synchronization technology and applying this technology to the TC-OFDM indoor positioning signal time synchronization process and error analysis, the experimental results show that the synchronization accuracy can reach 2 ns. Lee et al [10] and Gu et al [11] Therefore, the development of regional networking technology for pseudolites with multiple signal characteristics is a key technology and research focus here. In response to this problem, the main work of this article is as follows: in the second section, we introduce the existing pseudolite technology foundation, the concept of pseudolite feature information, and the indoor space division standard involved in this article.…”

Section: Introductionmentioning

confidence: 99%

A Pseudolite Indoor Wide-Area Networking Technology Based on Signal Multilevel Features

Zhang

Pan

et al. 2022

Wireless Communications and Mobile Computing

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At present, pseudosatellite navigation and positioning technology is the only positioning technology compatible with GNSS navigation signals and applied to indoors. This technology can realize continuous indoor and outdoor positioning services for mobile terminals and dedicated terminals. At the same time, the indoor application of pseudolite technology also faces some problems. Aiming at the large-area networking problem of pseudolites in indoor space, this paper uses the existing indoor array pseudolite technology to propose a technique for constructing a network using the characteristics of pseudolite signals in indoor space. By making full use of the signal’s multiple access classification characteristics and the signal’s Doppler, interstation delay, and other characteristics, a multilevel grid segmentation and networking scheme for indoor space based on pseudolites is realized. This method combines the existing experimental foundation and experience accumulation, has the feasibility of realizing large-area networking indoors, can solve the problems faced in the current indoor pseudolite networking process, and provides guarantee for the application of pseudolite networking in indoor environments.

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Software-based Performance Analysis of a Pseudolite Time Synchronization Method Depending on the Clock Source

Cited by 5 publications

References 4 publications

Review of Unbiased FIR Filters, Smoothers, and Predictors for Polynomial Signals

Review of Unbiased FIR Filters, Smoothers, and Predictors for Polynomial Signals

Ultimate iterative UFIR filtering algorithm

A Pseudolite Indoor Wide-Area Networking Technology Based on Signal Multilevel Features

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