A time delay estimation approach based on compressed sensing in dense multipath environment a

Time delay estimation in multipath environments is important for many applications in the fields of radar, sonar, communication and so on. In this paper, we propose a method based on compressed sensing for time delay estimation. In the proposed method, the signal in time domain is first converted into frequency domain, which tends to convert the problem to a parameter estimation of sinusoidal signals with low flux envelope. Then the corresponding sparse matrix is constructed and the orthogonal matching pursuit (OMP) method is used to estimate the time delay parameters. The simulation results show that the proposed algorithm has super-resolution and strong antijamming, and it performs better than MUSIC algorithm when the time delay parameters are dense distribution in the multipath environments.