Under the conditions of main lobe interference, the adaptive broadband beamforming suffers from problems such as mainbeam deformation and increased side lobe. This paper proposes two adaptive beamforming approaches to...
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Adaptive beamforming is widely used in phased array radar for interference and noise suppression. However, when mainlobe interference exists, mainlobe distortion, peak offset and sidelobe level rise will occur, which ...
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ISBN:
(数字)9786165904773
ISBN:
(纸本)9786165904773
Adaptive beamforming is widely used in phased array radar for interference and noise suppression. However, when mainlobe interference exists, mainlobe distortion, peak offset and sidelobe level rise will occur, which seriously deteriorate the performance of adaptive beamforming. To address this issue, this paper proposes a mainlobe interference suppression method based on blocking matrix preprocessing (BMP) with low sidelobe constraint. In the method, singular value decomposition (SVD) method is firstly utilized to estimate the angle of the mainlobe interference and blockingmatrix is constituted to suppress the mainlobe interference. Then, under the restriction of low sidelobe level, a convex optimization problem is solved to further suppress the sidelobe interferences. Numerical simulations are conducted, and the results show the effectiveness and robustness of the method.
A new method based on the iterative adaptive algorithm(IAA)and blocking matrix preprocessing(BMP)is proposed to study the suppression of multi-mainlobe *** algorithm is applied to precisely estimate the spatial spectr...
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A new method based on the iterative adaptive algorithm(IAA)and blocking matrix preprocessing(BMP)is proposed to study the suppression of multi-mainlobe *** 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)*** mainlobe interferences are identified by calculating the correlation coefficients between direction steering vectors(SVs)and rejected by the BMP ***,IAA is subsequently employed to reconstruct a sidelobe interference-plus-noise covariance matrix for the preferable ABF and residual interference *** 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.
When there is only the mainlobe interference signal, the algorithm of mainlobe interference suppression based on eigen-projection matrixpreprocessing (EMP) has stronger robustness than that based on blockingmatrix p...
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ISBN:
(纸本)9781509003969
When there is only the mainlobe interference signal, the algorithm of mainlobe interference suppression based on eigen-projection matrixpreprocessing (EMP) has stronger robustness than that based on blocking matrix preprocessing (BMP). However, when the mainlobe interference signal and sidelobe interference signal are simultaneously present and the mainlobe interference signal's power is close to the sidelobe interference signal's power, the null steering direction's gain of sidelobe interference signal will be increasing. It decreases the performance of EMP algorithm. To solve these problems, an improved algorithm of the mainlobe interference suppression based on eigen-subspace is proposed to deal with the problem of the null steering reduction in the sidelobe interference in the case of high mainlobe interference-to-noise-ratio. Simulation results have shown that the proposed algorithm has good robustness which can effectively suppress the mainlobe interference and maintain the deep null steering in the direction of sidelobe interference signal in the array pattern, in the case of the different mainlobe interference-to-noise - ratio
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