Novel method for DOA estimation of coherent signals by eigen-subspace iteration
Zhu Gen-sheng · Journal of Xidian University · 2010
A novel method for direction-of-arrival estimation of the correlated-signal is proposed to enhance the adaptability of the traditional high-resolution methods and to reduce the computational burden caused by eigen-decomposition and searching procedure.The noise subspace or signal subspace is iteratively obtained by the gradient algorithm for each snapshot,and then it is transformed from complex-valued space to real-valued space.Finally,Unitary ESPRIT or Root-MUSIC based on real-valued space is used to estimate the angles.Introduction of the eigen-subspace iteration and real-valued space processing eliminates eigen-decomposition,thus reducing the computational complexity significantly.The method can also be applied to the angle estimation and angle tracking problems for coherent signals.Simulations and real data processing results verify the effectiveness of the proposed method.