Low complexity sparse noise reduction method for Loran-C skywave delay estimation

A sparse noise reduction method applied to Loran-C skywave delay estimation is presented, which is both simple and practicable. Signal sparsity is utilised to reduce the noise inside the Loran frequency band and significant improvement in the performance of estimation is achieved. The proposed method shows increased estimation accuracy with reduced computational complexity owing to no matrix inversion in the computation process.