Direction of Arrival Estimation Using Sparse Ruler Array Design
In this paper, a new Direction Of Arrival (DOA) estimation approach is addressed for the case of more sources than physical receiving antennas by considering a novel non-uniform array design. The new design utilizes the concept of minimum sparse rulers which are rulers having incomplete marks. The differences between marks in a sparse ruler cover all lags of the autocorrelation. In array processing, this set of differences can be used as a basis to construct a virtual uniform linear array having a higher number of antennas than the actual linear array. In order to attain the required rank condition of the observation matrix, the most recent spatial smoothing method is used.