Two novel signal processing techniques employing Fourier analysis and an ARMA model for the purpose of identifying the skywave components in Loran-C receivers are presented. The performance of these techniques, under noisy conditions, is evaluated and compared. The proposed algorithms would enable Loran-C receivers to optimise their sampling points thus improving their positioning measurements and reliability.