Wigner-Vill Transformation Analysis for Cycle Identification of Loran-C

For improving the limit of time domain or frequency domain analysis and the cycle identification capability for Loran-C, the effect of swatch's length, signal-to-noise ratio (SNR) at the antenna input, sky-wave to ground-wave ratio (SGR) and phase difference of sky-wave to ground-wave on cycle identification of Loran-C were analyzed and simulated based on the analysis of Loran-C signal's Wigner-Vill transformation (WVT) characters. The results show that positive peak values of Loran-C signal's WVT are steady, the transformation has good anti-noise performance, and cycle identification can be realized successfully and effectively because the frequency points corresponding to the negative peak values of Loran-C signal's WVT are different at different phase difference.