LAUSR

We propose a low-complexity method which estimates the angles and the ranges of targets, using single-snapshot of frequency diverse array-multiple input multiple output (FDA-MIMO) radar. Existing single-snapshot-based methods apply one-dimensional discrete Fourier transform (DFT) to a received signal which is made of superposition of Vandermonde structured steering vectors. However, such method is not directly applicable to FDA-MIMO, as joint steering vector of the FDA-MIMO does not obey Vandermonde structure. To tackle this problem, the proposed method alters the signal vector to the form to which two-dimensional DFT (2D-DFT) is applicable for the coarse estimates. Afterwards, precise version is extracted by searching small region around the initial estimates. Numerical results demonstrate superiority of the proposed method over the phased-array-based method in separating targets with close angles. Furthermore, it is proved that the proposed method is more suitable to single-snapshot-based localization than the conventional methods, maintaining low complexity.