Fast DOA estimation algorithm for signal sources under unknown correlated noise field
Yuxiang Xie · Systems engineering and electronics · 2010
A new direction of arrival(DOA) estimation algorithm is proposed based on the traditional propagator method.Compared with the traditional subspace method,the proposed algorithm does not require eigenvalue decomposition,which can effectively reduce the computational complexity.Meanwhile,it has a higher spatial resolution when the signal sources are coherent.Moreover,the traditional propagator method can only be applied on the condition that the noise covariance matrix is known and the signal-to-noise ratio(SNR) is sufficiently large,whereas the proposed method can still perform well in unknown noise filed.Finally,a chaotic search algorithm is proposed which can efficiently accelerate the searching speed and further lower the computational time.Simulation results verify the effectiveness of the conclusions.