A Cyclostationarity Based Esprit Algorithm for DOA Estimation of Uniform Circular Array

For the direction of arrival (DOA) estimation of cyclosationary signals in uniform circular array (UCA), a signal selective Least-Squares Estimation method of Signal Parameters via Rotational Invariance Techniques (LS-ESPRIT) with high estimation accuracy and low complexity is proposed. Firstly, the proposed algorithm transforms the UCA to a virtual uniform linear array (ULA) by using phase mode excitation. In addition, the beam transformation is combined with the cyclostationarity to suppress both interference and noise and improve the signal selection ability. Moreover, to reduce the complexity of DOA estimation, the signal subspace is decomposed by the LSESPRIT algorithm to estimate elevation and azimuth angles. Simulation results demonstrate the effectiveness of the proposed algorithm.