Multiple interference cancellation performance for GPS receivers with dual-polarized antenna arrays
EURASIP Journal on Advances in Signal Processing
Cramér–Rao bound analysis of positioning approaches in GNSS receivers
IEEE Transactions on Signal Processing
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
A reduced complexity approach to IAA beamforming for efficient DOA estimation of coherent sources
EURASIP Journal on Advances in Signal Processing - Special issue on advances in angle-of-arrival and multidimensional signal processing for localization and communications
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This paper addresses the estimation of the code-phase (pseudorange) and the carrier-phase of the direct signal received from a direct-sequence spread-spectrum satellite transmitter. The signal is received by an antenna array in a scenario with interference and multipath propagation. These two effects are generally the limiting error sources in most high-precision positioning applications. A new estimator of the code- and carrier-phases is derived by using a simplified signal model and the maximum likelihood (ML) principle. The simplified model consists essentially of gathering all signals, except for the direct one, in a component with unknown spatial correlation. The estimator exploits the knowledge of the direction-of-arrival of the direct signal and is much simpler than other estimators derived under more detailed signal models. Moreover, we present an iterative algorithm, that is adequate for a practical implementation and explores an interesting link between the ML estimator and a hybrid beamformer. The mean squared error and bias of the new estimator are computed for a number of scenarios and compared with those of other methods. The presented estimator and the hybrid beamforming outperform the existing techniques of comparable complexity and attains, in many situations, the Crame´r-Rao lower bound of the problem at hand.