Performance Analysis of Vector Tracking Algorithms for Weak GPS Signals in High Dynamics

This paper explores the ability of vector tracking algorithms to track weak Global Positioning System (GPS) signals in high dynamic environments. Traditional GPS receivers use tracking loops to track the GPS signals. The signals from each satellite are processed independently. In contrast, vector-based methods do not use tracking loops. Instead, all the satellite signals are tracked by a lone Kalman filter. The Kalman filter combines the tasks of signal tracking and navigation into a single algorithm. Vector-based methods can perform better than traditional methods in environments with high dynamics and low signal power. A performance analysis of the vector tracking algorithms is included. The ability of the algorithms to operate as a function of carrier to noise power density ratio, user dynamics, and number of satellites being used is explored. The vector tracking methods are demonstrated using data from a high fidelity GPS simulator. The simulation results show the vector tracking algorithms operating at a carrier to noise power density ratio of 19 dB-Hz through 2 G, 4 G, and 8 G coordinated turns. The vector tracking algorithms are also shown operating through 2 G and 4 G turns at a carrier to noise power density ratio of 16 dB-Hz.

[1]  James W. Sennott.  A Flexible GPS Software Development System and Timing Analyzer for Present and Future Microprocessors , 1984 .

[2]  Paul D. Groves,et al.  GPS signal to noise measurement in weak signal and high interference environments , 2005 .

[3]  E. M. Copps,et al.  Optimal Processing of GPS Signals , 1980 .

[4]  Y. Chan,et al.  A Kalman Filter Based Tracking Scheme with Input Estimation , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[5]  B. Eissfeller,et al.  Use of a Vector Delay Lock Loop Receiver for GNSS Signal Power Analysis in Bad Signal Conditions , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[6]  Pd Groves,et al.  Demonstration of Non-coherent Deep INS/GPS Integration for Optimised Signal-to-noise Performance , 2007 .

[7]  Robert N. Crane.  A Simplified Method for Deep Coupling of GPS and Inertial Data , 2007 .

[8]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[9]  Per Enge,et al.  Fundamentals Of Signal Tracking Theory , 1996 .

[10]  Mark G. Petovello,et al.  Comparison of Vector-Based Software Receiver Implementations With Application to Ultra-Tight GPS/INS Integration , 2006 .

[11]  Gert F. Trommer,et al.  Realization of a Deeply Coupled GPS/INS Navigation System Based on INS-VDLL Integration , 2007 .

[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 .

[13]  Donald E. Gustafson,et al.  A deeply integrated adaptive GPS-based navigator with extended range code tracking , 2000, IEEE 2000. Position Location and Navigation Symposium (Cat. No.00CH37062).

[14]  J.Y. Hung,et al.  Impact of carrier to noise power density, platform dynamics, and IMU quality on deeply integrated navigation , 2008, 2008 IEEE/ION Position, Location and Navigation Symposium.

[15]  D. Gustafson,et al.  Deeply Integrated Code Tracking: Comparative Performance Analysis , 2003 .

[16]  Don Benson.  Interference Benefits of a Vector Delay Lock Loop (VDLL) GPS Receiver , 2007 .

[17]  D.-J. Jwo.  Optimisation and sensitivity analysis of GPS receiver tracking loops in dynamic environments , 2001 .

[18]  Michelle Marie Sayre,et al.  Development of a Block Processing Carrier to Noise Ratio Estimator for the Global Positioning System , 2003 .

[19]  David M. Bevly,et al.  Analysis of Discriminator Based Vector Tracking Algorithms , 2007 .

[20]  Bernd Eissfeller,et al.  Deep Integration of Navigation Solution and Signal Processing , 2005 .

[21]  David M. Bevly,et al.  Comparison of Traditional Tracking Loops and Vector Based Tracking Loops for Weak GPS Signals , 2007 .

[22]  Jan Wendel,et al.  A Performance Comparison of Tightly Coupled GPS/INS Navigation Systems based on Extended and Sigma Point Kalman Filters , 2005 .