Fourth-Order Cumulants-Based Eigen-Decomposition Techniques for Loran - C Skywave Estimation

The positioning accuracy of the Loran-C signal will be interfered with by the aliasing of sky and earth waves. Separating the skywave and groundwave with appropriate methods can effectively improve positioning accuracy. In this paper, we propose the eigendecomposition spectral analysis technique based on fourth-order cumulants to calculate the delay of the Loran-C skywave. Their accuracy is compared with that of traditional eigendecomposition spectroscopy. At the same time, the analysis results based on the actual collected data are given. The results show that the new technology can effectively suppress the influence of Gaussian noise, the wave generated by noise is 80% lower than the traditional algorithm, effectively reduce the effect of noise, can more accurately identify the skywave delay, and expand the number of arrays to twice the conventional algorithm, which makes the technology can effectively reduce the interference of other Loran-C signals. In a bad environment, the algorithm can still have good positioning accuracy and anti-interference ability.