TY - JOUR
T1 - Performance assessment of GNSS scalar and vector frequency tracking loops
AU - Dou, Jie
AU - Xu, Bing
AU - Dou, Lei
N1 - Funding Information:
This work was supported by National Natural Science Foundation of China (grant number 60904085 ); Foundation of National Key Laboratory of Transient Physics ; and Foundation of Defence Technology Innovation Special Filed .
Publisher Copyright:
© 2019 Elsevier GmbH
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2020/2
Y1 - 2020/2
N2 - This paper focuses on two types of frequency lock loops (FLL) in Global Navigation Satellite System (GNSS) receivers, namely the conventional scalar frequency lock loop (SFLL) and the vector frequency lock loop (VFLL).The VFLL has been proven to have a better tracking performance than the SFLL in scenarios such as intermittent signal outages, high dynamics, etc. However, the FLL tracking performance under the equivalent noise bandwidth has not been explored in literature. To do this, we implemented three kinds of FLL, i.e., the SFLL, the weighted least square-based vector frequency loop (WLS-VFLL), and the extended Kalman filter-based vector tracking loop (EKF-VFLL). All these FLLs have the same noise bandwidth, based on which we made a fair comparison between them. The experimental static data and simulated high- dynamic data have been tested. Results show that the EKF-VFLL has a similar tracking performance with WLS-VFLL under static environment, both better than the SFLL. In high- dynamic environment, the advantages of EKF-VFLL are more prominent than the other two methods. Furthermore, EKF-VFLL takes the longest time in terms of computational efficiency.
AB - This paper focuses on two types of frequency lock loops (FLL) in Global Navigation Satellite System (GNSS) receivers, namely the conventional scalar frequency lock loop (SFLL) and the vector frequency lock loop (VFLL).The VFLL has been proven to have a better tracking performance than the SFLL in scenarios such as intermittent signal outages, high dynamics, etc. However, the FLL tracking performance under the equivalent noise bandwidth has not been explored in literature. To do this, we implemented three kinds of FLL, i.e., the SFLL, the weighted least square-based vector frequency loop (WLS-VFLL), and the extended Kalman filter-based vector tracking loop (EKF-VFLL). All these FLLs have the same noise bandwidth, based on which we made a fair comparison between them. The experimental static data and simulated high- dynamic data have been tested. Results show that the EKF-VFLL has a similar tracking performance with WLS-VFLL under static environment, both better than the SFLL. In high- dynamic environment, the advantages of EKF-VFLL are more prominent than the other two methods. Furthermore, EKF-VFLL takes the longest time in terms of computational efficiency.
KW - Equivalent noise bandwidth
KW - Extended Kalman filter (EKF)
KW - Frequency lock loop (FLL)
KW - Global navigation satellite system (GNSS)
KW - Weighted least square (WLS)
UR - http://www.scopus.com/inward/record.url?scp=85073956609&partnerID=8YFLogxK
U2 - 10.1016/j.ijleo.2019.163552
DO - 10.1016/j.ijleo.2019.163552
M3 - Journal article
AN - SCOPUS:85073956609
SN - 0030-4026
VL - 202
JO - Optik
JF - Optik
M1 - 163552
ER -