Mainlobe Interference Suppression Method Based on Coprime Array

When combating multiple mainlobe interferences in space, the traditional interference suppression methods based on eigen-projection have the problems of model mismatch and mainlobe distortion. In order to solve the above problems, a mainlobe interference suppression method based on coprime array is proposed. In the proved method, the signal covariance matrix of the virtual uniform array is constructed according to the observation vector, and the angles and powers of all incident signals are estimated by Capon spectrum. Then, the reconstructed interference plus noise covariance matrix is used to construct the corresponding subspace, and the component of mainlobe interferences is suppressed by eigen-projection. Finally, the reconstructed sidelobe interference plus noise covariance matrix is used to calculate the adaptive weight vector to form an ideal beam pattern. Simulation results demonstrate the effectiveness and superiority of the proposed method.