Highly Robust Adaptive Beamforming Algorithm in Satellite Communications
In satellite communications,leveraging adaptive beamforming technology can significantly improve the anti-jamming ability of navigation receivers.However,conventional adaptive beamforming algorithms are sensitive to model mismatch.In order to overcome the performance degradation of conventional adaptive beamforming algorithms arising from both the steering vector mismatch of the desired signal and the covariance matrix mismatch,a new robust adaptive beamforming algorithm is proposed.Firstly,the signal-to-noise ratio(SNR)of the desired signal is estimated.Then,the projection matrix is constructed with the estimated SNR to further predict the steering vectors of the desired signal and those of the interferences.Next,the steering vectors of the desired signal and the interferences are corrected by using the uncertainty-set optimization method.Finally,the signal power is estimated and the interference-plus-noise covariance matrix is reconstructed.The simulation results show that,compared with the beamforming algorithm that requires covariance matrix reconstruction,the proposed algorithm achieves a better output signal to interference and noise ratio(SINR)performance.When SNR is 10.0 dB and signal direction of arrival(DOA)mismatch occurs,the output SINR gain is about 1.9 dB;when wavefront distortion arises,the output SINR gain is about 1.5 dB;when coherent local scattering happens,the output SINR gain is about 1.6 dB.
antenna arraybeamformingsteering vector estimationsteering vector mismatchBeidou communication
万方数据
维普
