Review for Multipath Facts in the Realm of Weak GNSS Signal

One of the most significant problem pending to be mitigated for satellite navigation at indoor environments is the multipath errors. At indoor environments, weak GNSS signals should be acquired and tracked by the GPS receivers, this paper will give a review of the facts in multipath and its main influence in the GNSS navigation systems. Investigation in this field are not new, understanding and mitigating multipath effects on GPS receivers will lead to an important level where the system can be used within a desired tolerance reducing its errors due to more accurate positioning solution.

[1]  L. Marti,et al.  Characterizing Multipath from Satellite Navigation Measurements in Urban Environments , 2008, 2008 5th IEEE Consumer Communications and Networking Conference.

[2]  Mahamod Ismail,et al.  Multipath Mitigation of Global Positioning System (GPS) Signal Using Wavelet Technique , 2009, 2009 International Conference on Digital Image Processing.

[3]  T. Julg.  Evaluation of multipath error and signal propagation in a complex scenario for GPS multipath identification , 1996, Proceedings of ISSSTA'95 International Symposium on Spread Spectrum Techniques and Applications.

[4]  Dongkai Yang,et al.  A new multipath estimation method for GPS signals , 2009, 2009 9th International Conference on Electronic Measurement & Instruments.

[5]  Moeness G. Amin,et al.  Tracking performance of the coherent and noncoherent discriminators in strong multipath , 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

[6]  Patrick Duvaut,et al.  GPS positioning in a multipath environment , 2002, IEEE Trans. Signal Process..

[7]  Gyu-In Jee,et al.  GPS Signal Degradation Modeling , 2001 .

[8]  Y. J. Lee,et al.  A GPS C/A Code Tracking Loop Based on Extended Kalman Filter with Multipath Mitigation , 2002 .

[9]  Yujie Zhang,et al.  Multipath mitigation in the frequency domain , 2004, PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556).

[10]  Per Enge,et al.  Improving GPS Coverage and Continuity: Indoors and Downtown , 2001 .

[11]  Mohamed Sahmoudi,et al.  Multipath mitigation techniques using maximum-likelihood principle , 2008 .

[12]  William R. Michalson,et al.  An Enhanced Acquisition Process of a Maximum Likelihood GPS Receiver , 2004 .

[13]  Søren Holdt Jensen,et al.  A Software-Defined GPS and Galileo Receiver , 2007 .

[14]  William R. Michalson,et al.  The Acquisition Process of a Maximun Likelihood GPS Receiver , 2003 .