Copyright © 2008 Olivier Julien et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This special issue of the International Journal of Navigation and Observation deals with future global navigation
satellite system (GNSS) signals. It is a timely issue in view of the current US GPS
modernization efforts, the deployment of the EU’s Galileo, the
replenishment of Russia’s
GLONASS, and China’s
plan to launch COMPASS. These systems, either individually or as a group, will
provide tremendous availability, accuracy, and reliability enhancements to a
consumer’s market that is growing at an annual double-digit rate. Research is taking
place not only to enhance the methods and algorithms to process the signals already in place but
also to propose and optimize future signals and combinations thereof.
The seven papers presented in
this issue cover a variety of topics, ranging from Galileo signal testing to
signal multipath reduction, and represent a good cross-section of current
activities in this area. A study of multipath performance of the initial
Galileo signals transmitted by the GIOVE-A satellite using actual data is described
by Simsky et al., and a new generic approach called multiple gate delay tracking
structures to reduce GNSS signal multipath is proposed and evaluated with
different software approaches by Heikki Hurskainen et al. Also, Borio et al. discuss
two strategies for the joint acquisition of data and pilot channels that are available on emerging
signals. Shanmugam et al. present a short synchronization code design for
future GNSS based on the optimization of specific performance criteria. Joint
L/C-band code and carrier phase linear combination methods for Galileo are
discussed by Henkel et al. Moreover, Lentmaier et al. discuss Bayesian time
delay estimation based on particle filters for use in dynamic multipath
environments. Finally, a comparison between Galileo CBOC candidates and BOC(1,1) signals in terms
of detection performance is presented by Dovis et al.
Olivier Julien
Gérard Lachapelle
Letizia Lo Presti