Today, smart mobiles play an important role in our daily life. Most of these devices are equipped with a navigation function based on GNSS positioning. However, these devices may not work accurately in urban environments due to severe multipath interference and non-line of sight (NLOS) reception caused by nearby buildings. A promising approach for reducing the effect of multipath interference and NLOS reception is vector tracking (VT). VT is well-known for its robustness against poor signal-to-noise levels. However, its capability against multipath and NLOS has yet to be determined. The new combination of this paper is therefore to evaluate the performance of vector tracking in the presence of multipath and NLOS effects. A vector delay lock loop (VDLL) is used as the vector tracking technique. The noise tuning of the extended Kalman filter (EKF) in vector tracking is a key factor affecting its performance. Therefore, developed an adaptive noise tuning algorithm had been based on the measurement innovation. In order to evaluate vector tracking’s performance, equivalent conventional tracking loops are used as a control.
GNSS signals were collected, while walking around in a challenging urban environment subject to multipath interference. The experimental results show that VT generates a more stable code numerical-controlled oscillator (NCO) frequency than CT does. This characteristic could reduce the impact of multipath interference which is reflected in a smaller position error using VT during most of run. To further test capability of VT against signal attenuation, this paper applies a signal cancellation method called direct signal cancellation algorithm to simulate the scenario of signal termination and NLOS reception. According to the simulation, VT provides not only robustness against signal termination but can also detect NLOS reception without any external aiding.
[1]
P. Ward,et al.
Satellite Signal Acquisition , Tracking , and Data Demodulation
,
2006
.
[2]
Lei Wang,et al.
Intelligent Urban Positioning using Multi-Constellation GNSS with 3D Mapping and NLOS Signal Detection
,
2012
.
[3]
J. Saastamoinen.
Contributions to the theory of atmospheric refraction
,
1972
.
[4]
R. Langley,et al.
Limiting Factors in Tropospheric Propagation Delay Error Modelling for GPS Airborne Navigation
,
1996
.
[5]
David M. Bevly,et al.
Comparison in the Performance of the Vector Delay/Frequency Lock Loop and Equivalent Scalar Tracking Loops in Dense Foliage and Urban Canyon
,
2011
.
[6]
A. Garcia-Rigo,et al.
The IGS VTEC maps: a reliable source of ionospheric information since 1998
,
2009
.
[7]
Agus Budiyono,et al.
Principles of GNSS, Inertial, and Multi-sensor Integrated Navigation Systems
,
2012
.
[8]
Marek Ziebart,et al.
Instantaneous Doppler-aided RTK positioning with single frequency receivers
,
2010,
IEEE/ION Position, Location and Navigation Symposium.
[9]
Per Enge,et al.
Fundamentals Of Signal Tracking Theory
,
1996
.
[10]
John Y. Hung,et al.
A valid comparison of vector and scalar tracking loops
,
2010,
IEEE/ION Position, Location and Navigation Symposium.
[11]
Paul D. Groves,et al.
GNSS NLOS and Multipath Error Mitigation using Advanced Multi-Constellation Consistency Checking with Height Aiding
,
2012
.
[12]
Guanrong Chen,et al.
Introduction to random signals and applied Kalman filtering, 2nd edn. Robert Grover Brown and Patrick Y. C. Hwang, Wiley, New York, 1992. ISBN 0‐471‐52573‐1, 512 pp., $62.95.
,
1992
.