Super resolution DOA estimation with incomplete single snapshot data via matrix completion and compress sensing

A method of super resolution DOA estimation with incomplete single snapshot data via matrix completion (MC) and compress sensing (CS) is presented. First, the incomplete single snapshot data is reshaped into a low-rank Hankel matrix form and the complete data can be reconstructed through matrix completion. Then, super resolution DOA estimation can be got through CS algorithm using these constructed complete data. Numerical simulations demonstrate that this method can get high accuracy DOA estimation with less number of array elements.