A Maximum Likelihood Approach to GNSS Synchronization Using Antenna Arrays

C. Fernández Prades, J.A. Fernández Rubio, G. Seco

Abstract:	This paper deals with the problem of estimating signal parameters using and array of antennas. Two completely different approaches are taken: the Maximum Likelihood (ML) estimation and a new sort of beamforming. On the one hand, the joint ML estimation of time delays and Doppler shifts of several signals is derived, leading to a cost function which requires a high computational burden. By the other hand, a beamforming that exploits a parameterized temporal reference and some spatial information has a cost function which minimizes under the same conditions than the previous one, and allows a practical implementation in real time. It has been applied to GPS-like signals and to the COSPAS-SARSAT Search and Rescue signals, showing an improved performance respect to existing beamformings.
Published in:	Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003) September 9 - 12, 2003 Oregon Convention Center Portland, OR
Pages:	178 - 187
Cite this article:	Prades, C. Fernández, Rubio, J.A. Fernández, Seco, G., "A Maximum Likelihood Approach to GNSS Synchronization Using Antenna Arrays," Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003), Portland, OR, September 2003, pp. 178-187.
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In