Compressive Sensing Based 2-D DOA Estimation by a Sparse L-Shaped Co-prime Array

Herein, two-dimensional direction-of-arrival (DOA) estimation of impinging signals on a L-shaped coprime array structure, in compressive sensing paradigm is explored. The received signals are compressed generating appropriate kernel in the L-shaped coprime array model. Suitable reconstruction algorithms based on single snapshot are then employed on the compressed signals to develop high resolution DOA estimation in two dimensions. Simulation results in terms of probability of resolution exhibits much better performance as compared with the standard two-dimensional compressive sensing model of DOA estimation using an L-shaped array antenna.