A NEW TRACKING TECHNIQUE USING KALMAN FILTER FOR GPS RECEIVER

碩士 === 國立交通大學 === 電機與控制工程系所 === 94 === The goal of signal tracking in GPS receiver is to track the Pseudo-Random Number (PRN) code delay and the Doppler frequency. The tracking methods are performed using early-late method via a closed loop with a loop filter. The PI is commonly used to realize the...

Full description

Bibliographic Details
Main Authors: Hao-Wei Li, 李浩緯
Other Authors: Mu-Huo Cheng
Format: Others
Language:en_US
Online Access:http://ndltd.ncl.edu.tw/handle/67349037473401041165
id ndltd-TW-094NCTU5591040
record_format oai_dc
spelling ndltd-TW-094NCTU55910402016-05-27T04:18:36Z http://ndltd.ncl.edu.tw/handle/67349037473401041165 A NEW TRACKING TECHNIQUE USING KALMAN FILTER FOR GPS RECEIVER 應用卡爾曼濾波器在GPS接收器的追蹤技術 Hao-Wei Li 李浩緯 碩士 國立交通大學 電機與控制工程系所 94 The goal of signal tracking in GPS receiver is to track the Pseudo-Random Number (PRN) code delay and the Doppler frequency. The tracking methods are performed using early-late method via a closed loop with a loop filter. The PI is commonly used to realize the loop filter; The PI parameters are empirically determined. The tracking performance varies with the choice of PI parameters. This thesis configures the tracking of PRN code delay and Doppler frequency as problems of observer design, such that the extended Kalman filter (EKF) and Kalman filter (KF) algorithm are applied realize the observers. The tracking of PRN code delay which is realized by a digital delay-locked loop is configured as a nonlinear observer problem such that the EKF can be used to estimate the delay, while the tracking of the Doppler frequency realized by a digital phase-locked loop, is configured as a linear observer problem, hence the KF can be used as the observer. This approach not only alleviates the burden of designing PI parameters but also obtain a fast tracking algorithm. Computer simulations are also performed to demonstrate the advantages of our proposed method. Mu-Huo Cheng 鄭木火 學位論文 ; thesis 46 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 電機與控制工程系所 === 94 === The goal of signal tracking in GPS receiver is to track the Pseudo-Random Number (PRN) code delay and the Doppler frequency. The tracking methods are performed using early-late method via a closed loop with a loop filter. The PI is commonly used to realize the loop filter; The PI parameters are empirically determined. The tracking performance varies with the choice of PI parameters. This thesis configures the tracking of PRN code delay and Doppler frequency as problems of observer design, such that the extended Kalman filter (EKF) and Kalman filter (KF) algorithm are applied realize the observers. The tracking of PRN code delay which is realized by a digital delay-locked loop is configured as a nonlinear observer problem such that the EKF can be used to estimate the delay, while the tracking of the Doppler frequency realized by a digital phase-locked loop, is configured as a linear observer problem, hence the KF can be used as the observer. This approach not only alleviates the burden of designing PI parameters but also obtain a fast tracking algorithm. Computer simulations are also performed to demonstrate the advantages of our proposed method.
author2 Mu-Huo Cheng
author_facet Mu-Huo Cheng
Hao-Wei Li
李浩緯
author Hao-Wei Li
李浩緯
spellingShingle Hao-Wei Li
李浩緯
A NEW TRACKING TECHNIQUE USING KALMAN FILTER FOR GPS RECEIVER
author_sort Hao-Wei Li
title A NEW TRACKING TECHNIQUE USING KALMAN FILTER FOR GPS RECEIVER
title_short A NEW TRACKING TECHNIQUE USING KALMAN FILTER FOR GPS RECEIVER
title_full A NEW TRACKING TECHNIQUE USING KALMAN FILTER FOR GPS RECEIVER
title_fullStr A NEW TRACKING TECHNIQUE USING KALMAN FILTER FOR GPS RECEIVER
title_full_unstemmed A NEW TRACKING TECHNIQUE USING KALMAN FILTER FOR GPS RECEIVER
title_sort new tracking technique using kalman filter for gps receiver
url http://ndltd.ncl.edu.tw/handle/67349037473401041165
work_keys_str_mv AT haoweili anewtrackingtechniqueusingkalmanfilterforgpsreceiver
AT lǐhàowěi anewtrackingtechniqueusingkalmanfilterforgpsreceiver
AT haoweili yīngyòngkǎěrmànlǜbōqìzàigpsjiēshōuqìdezhuīzōngjìshù
AT lǐhàowěi yīngyòngkǎěrmànlǜbōqìzàigpsjiēshōuqìdezhuīzōngjìshù
AT haoweili newtrackingtechniqueusingkalmanfilterforgpsreceiver
AT lǐhàowěi newtrackingtechniqueusingkalmanfilterforgpsreceiver
_version_ 1718282923131535360