A new method based on the iterative adaptive algorithm(IAA)and blocking matrix preprocessing(BMP)is proposed to study the suppression of multi-mainlobe interference.The algorithm is applied to precisely estimate the s...A new method based on the iterative adaptive algorithm(IAA)and blocking matrix preprocessing(BMP)is proposed to study the suppression of multi-mainlobe interference.The algorithm is applied to precisely estimate the spatial spectrum and the directions of arrival(DOA)of interferences to overcome the drawbacks associated with conventional adaptive beamforming(ABF)methods.The mainlobe interferences are identified by calculating the correlation coefficients between direction steering vectors(SVs)and rejected by the BMP pretreatment.Then,IAA is subsequently employed to reconstruct a sidelobe interference-plus-noise covariance matrix for the preferable ABF and residual interference suppression.Simulation results demonstrate the excellence of the proposed method over normal methods based on BMP and eigen-projection matrix perprocessing(EMP)under both uncorrelated and coherent circumstances.展开更多
When the power of the mainlobe interference received by the receiver is at the same level as the power of the sidelobe interference power,the traditional eigen-projection interference suppression method has the proble...When the power of the mainlobe interference received by the receiver is at the same level as the power of the sidelobe interference power,the traditional eigen-projection interference suppression method has the problems of severe beam deformation and peak shift.Aiming at these problems,a beam pattern optimization method(BPOM)was proposed,which can suppress the interference well even when the mainlobe interference power is approximately equal to the sidelobe interference power.In the method,the mainlobe interference eigenvectors are firstly determined according to the correlation criterion.Then through the eigenvalue comparison,the sidelobe interference eigenvectors whose eigenvalues are approximately equal to the mainlobe interference eigenvalues are judged.After that,a projection matrix is constructed to filter out the mainlobe and sidelobe interference.Finally,the covariance matrix is reconstructed and the weight vector for beamforming is obtained.Simulation shows that BPOM has a better output performance than the existing algorithms in case that the power of the mainlobe interference is close to that of the sidelobe interference.展开更多
基金The National Natural Science Foundation of China(No.U19B2031).
文摘A new method based on the iterative adaptive algorithm(IAA)and blocking matrix preprocessing(BMP)is proposed to study the suppression of multi-mainlobe interference.The algorithm is applied to precisely estimate the spatial spectrum and the directions of arrival(DOA)of interferences to overcome the drawbacks associated with conventional adaptive beamforming(ABF)methods.The mainlobe interferences are identified by calculating the correlation coefficients between direction steering vectors(SVs)and rejected by the BMP pretreatment.Then,IAA is subsequently employed to reconstruct a sidelobe interference-plus-noise covariance matrix for the preferable ABF and residual interference suppression.Simulation results demonstrate the excellence of the proposed method over normal methods based on BMP and eigen-projection matrix perprocessing(EMP)under both uncorrelated and coherent circumstances.
文摘When the power of the mainlobe interference received by the receiver is at the same level as the power of the sidelobe interference power,the traditional eigen-projection interference suppression method has the problems of severe beam deformation and peak shift.Aiming at these problems,a beam pattern optimization method(BPOM)was proposed,which can suppress the interference well even when the mainlobe interference power is approximately equal to the sidelobe interference power.In the method,the mainlobe interference eigenvectors are firstly determined according to the correlation criterion.Then through the eigenvalue comparison,the sidelobe interference eigenvectors whose eigenvalues are approximately equal to the mainlobe interference eigenvalues are judged.After that,a projection matrix is constructed to filter out the mainlobe and sidelobe interference.Finally,the covariance matrix is reconstructed and the weight vector for beamforming is obtained.Simulation shows that BPOM has a better output performance than the existing algorithms in case that the power of the mainlobe interference is close to that of the sidelobe interference.
