Title :
Loran-C skywave delay detection using ARMA algorithm
Author :
Mohammed, A. ; Last, D.
Author_Institution :
Dept. of Appl. Signal Process., Karlskrona Univ., Ronneby, Sweden
fDate :
8/20/1998 12:00:00 AM
Abstract :
The autoregressive moving average technique (ARMA) is applied to the problem of estimating the delay of Loran-C skywaves. The performance of this technique is evaluated and compared with Fourier-based methods. The simulation results show that the ARMA algorithm yields a significantly greater estimation accuracy and that it can also operate successfully with very noisy signals
Keywords :
adaptive signal detection; adaptive signal processing; autoregressive moving average processes; delays; direction-of-arrival estimation; radionavigation; ARMA algorithm; Loran-C skywave delay detection; delay estimation; estimation accuracy; signal processing technique; simulation; time of arrival; very noisy signals;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19981180
