Title :
Eigen-decomposition techniques for Loran-C skywave estimation
Author :
Bian, Yi ; Last, David
Author_Institution :
Univ. Coll. London, UK
Abstract :
Eigen-decomposition spectral analysis techniques are used to estimate the delays of Loran-C skywaves. Their performance is evaluated and compared with that of Fourier-based techniques. Results using off-air data are presented. This work establishes the basis on which to design a Loran-C receiver capable of adjusting its sampling point adaptively to the optimal value in a constantly changing skywave environment. Such receivers promise to improve significantly the accuracy and reliability of positioning under adverse operational conditions.
Keywords :
eigenvalues and eigenfunctions; fast Fourier transforms; matrix decomposition; radiofrequency interference; radionavigation; Fourier-based techniques; Loran-C skywave estimation; adverse operational conditions; constantly changing skywave environment; eigen-decomposition techniques; off-air data; reliability; sampling point; Delay effects; Delay estimation; Frequency estimation; Interference; Multiple signal classification; Pulse measurements; Sampling methods; Satellite navigation systems; Satellites; Signal resolution; Spectral analysis; Systems engineering and theory;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
