A Robust Adaptive DOA Estimation Technique for Non-Gaussian Interferences based on Blake-Zisserman Function

Estimating the direction-of-arrival (DOA) is a crucial problem in most array signal processing applications, including wireless communication, radar, sonar, astronomical observation, and acoustics. The traditional direction-of-arrival (DOA) estimate methods, which are based on subspace decomposition, need for the eigenvalue decomposition, resulting in greater computation complexity. Different adaptive algorithms, including fixed-step-size least mean square (FSS-LMS), variable step-size least mean square (VSS-LMS), and bias-compensated LMS (BC-LMS), have recently been developed for the DOA estimation by using the adaptive nulling antenna techniques in an effort to reduce the computational complexity. The aforementioned algorithms are designed upon the minimization of Mean Square Error (MSE), which proves to be effective in the presence of Gaussian noise. However, their performance will degrade and leads to inaccurate DOA estimation when non-Gaussian/impulsive noise is present. In order to improve the DOA estimation performance in the presence of non-Gaussian/impulsive noise environment, we propose a variable-step-size generalized modified Blake-Zisserman (VSS-GMBZ) algorithm in this letter. The VSS-GMBZ is evaluated for various non-Gaussian noise scenarios to determine DOA estimation accuracy in the Matlab environment. Numerical results demonstrate the superiority of VSS-GMBZ over existing methods.