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Adaptive Multiple Model Kalman Filte...

Zhao, Wengxiang,

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Adaptive Multiple Model Kalman Filter for GNSS Carrier Phase and Frequency Estimation Through Wideband Interference /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive Multiple Model Kalman Filter for GNSS Carrier Phase and Frequency Estimation Through Wideband Interference // Wengxiang Zhao.
Author:	Zhao, Wengxiang,
Description:	1 electronic resource (120 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
Contained By:	Dissertations Abstracts International86-03B.
Subject:	Aerospace engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31557146
ISBN:	9798384040088

Adaptive Multiple Model Kalman Filter for GNSS Carrier Phase and Frequency Estimation Through Wideband Interference /
Zhao, Wengxiang,

Adaptive Multiple Model Kalman Filter for GNSS Carrier Phase and Frequency Estimation Through Wideband Interference /Wengxiang Zhao. - 1 electronic resource (120 pages)

Source: Dissertations Abstracts International, Volume: 86-03, Section: B.

The Global Navigation Satellite System (GNSS) is a satellite-based navigation system that allows users to determine their precise location anywhere on Earth. GNSS is used in various applications, including navigation for vehicles and aircraft, outdoor activities like hiking and geocaching, surveying and mapping, and even in the precise timing of events. After traveling a long distance to Earth, the GNSS signal is weak upon reaching receivers, which makes it vulnerable to wide-band Radio Frequency Interference (RFI). GNSS receivers lose track of the carrier frequency and phase in a deteriorated carrier to noise ratio (C/N0) environment due to RFI. For those applications that require high continuity services, intentional or unintentional interference events are becoming a big threat.Our research starts with the Ground Based Augmentation System (GBAS) which is primarily used in aviation and provides improved guidance for aircraft during the approach and landing phases. This research focuses on the Global Positioning System (GPS, one constellation of GNSS) L1 C/A signal and stationary GBAS receivers but all the concept and methodology can be extended to other constellations and receivers.In this thesis, we derive a carrier phase and frequency error Kalman Filter (KF) including clock phase noise dynamic model and In-phase/Quadrature (I/Q) measurement model. The filter, coupled with the Multiple Model (MM) algorithm, operates without the need to decode the Navigation Data (ND) bit. An upload-robust ND bit prediction strategy allows the filter to operate for a longer time while further reducing the carrier phase and frequency estimation error. User motion in moving receivers can be compensated using inertial aiding from the Inertial Measurement Unit (IMU) output. Experimental results are presented to show superior tracking and positioning performance under RFI compared to old receiver architecture.

English

ISBN: 9798384040088Subjects--Topical Terms:

1002622
Aerospace engineering.
Subjects--Index Terms:

Carrier phase estimation

Adaptive Multiple Model Kalman Filter for GNSS Carrier Phase and Frequency Estimation Through Wideband Interference /
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245 1 0 $a Adaptive Multiple Model Kalman Filter for GNSS Carrier Phase and Frequency Estimation Through Wideband Interference / $c Wengxiang Zhao.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (120 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
500 $a Advisors: Pervan, Boris; Khanafseh, Samer Committee members: Datta-Barua, Seebany; Dawson, Scott; Williamson, Geoffrey.
502 $b Ph.D. $c Illinois Institute of Technology $d 2024.
520 $a The Global Navigation Satellite System (GNSS) is a satellite-based navigation system that allows users to determine their precise location anywhere on Earth. GNSS is used in various applications, including navigation for vehicles and aircraft, outdoor activities like hiking and geocaching, surveying and mapping, and even in the precise timing of events. After traveling a long distance to Earth, the GNSS signal is weak upon reaching receivers, which makes it vulnerable to wide-band Radio Frequency Interference (RFI). GNSS receivers lose track of the carrier frequency and phase in a deteriorated carrier to noise ratio (C/N0) environment due to RFI. For those applications that require high continuity services, intentional or unintentional interference events are becoming a big threat.Our research starts with the Ground Based Augmentation System (GBAS) which is primarily used in aviation and provides improved guidance for aircraft during the approach and landing phases. This research focuses on the Global Positioning System (GPS, one constellation of GNSS) L1 C/A signal and stationary GBAS receivers but all the concept and methodology can be extended to other constellations and receivers.In this thesis, we derive a carrier phase and frequency error Kalman Filter (KF) including clock phase noise dynamic model and In-phase/Quadrature (I/Q) measurement model. The filter, coupled with the Multiple Model (MM) algorithm, operates without the need to decode the Navigation Data (ND) bit. An upload-robust ND bit prediction strategy allows the filter to operate for a longer time while further reducing the carrier phase and frequency estimation error. User motion in moving receivers can be compensated using inertial aiding from the Inertial Measurement Unit (IMU) output. Experimental results are presented to show superior tracking and positioning performance under RFI compared to old receiver architecture.
546 $a English
590 $a School code: 0091
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Mechanical engineering. $3 649730
650 4 $a Electromagnetics. $3 3173223
653 $a Carrier phase estimation
653 $a Global Positioning System receiver
653 $a Inertial aiding
653 $a Interference mitigation
653 $a Kalman Filter
653 $a Multiple model algorithm
690 $a 0538
690 $a 0548
690 $a 0607
710 2 $a Illinois Institute of Technology. $b Mechanical, Materials and Aerospace Engineering. $e degree granting institution. $3 3829261
720 1 $a Pervan, Boris $e degree supervisor.
720 1 $a Khanafseh, Samer $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-03B.
790 $a 0091
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31557146