This paper suggests a real-valued sparse representation method using a unitary transformation that can convert complex-valued manifold matrices from uniform circular array into real ones. Because of this transformation, the computational complexity is modified. Simulation results confirmed the effectiveness of the proposed method with a circular array radar.
In this paper, we proposed a real-valued sparse representation method for AOA estimation with UCA. We converted the complex optimization problem into a real one by applying a unitary transformation and subsequently reduced the computational complexity at a considerable rate. Simulations validate the effectiveness of our algorithm with UCA and suggest that the performance of the AOA estimation is more modified than the original -SVD method with ULA.