Técnica Tensorial de Estimação de Atraso para GPS de Segunda e Terceira Geração

Abstract

Global Navigation Satellite Systems (GNSS) are crucial for applications that demand very accurate positioning, such as autonomous driving and civilian aviation, especially in scenarios in which multipath components are present. In this paper, we propose a Semi-algebraic framework for approximate Canonical Polyadic Decomposition via simultaneous matrix diagonalization (SECSI) with Higher Order Singular Value Decomposition (HOSVD) low-rank approximation based time-delay estimation scheme for the GPS. Furthermore, we compare the different methods when processing signal from the second and third generation GPS. Finally, we show that the third generation GPS outperforms the second generarion.