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所属单位：电子信息工程学院
发表刊物：IET Radar Sonar Navig.
摘要：In this study, a real-valued off-grid direction-of-arrival (DOA) estimation algorithm is presented based on covariance differencing technique in the presence of unknown spatial coloured noise. The noise component is eliminated by forming the difference between the original and the transformed covariance matrices. A new observation model is constructed based on the eigenvectors corresponding to the positive eigenvalues of the difference matrix, which can solve the pseudo peaks problem caused by the covariance differencing process. To reduce the computational cost and improve the estimation accuracy, the observation model is transformed into a real-valued one via a unitary transformation. Then, a real-valued off-grid DOA estimation model is established by incorporating the bias parameter into the observation model. The off-grid DOA estimation problem is solved via iterative optimisation. Numerical simulations verify the superiority of the authors’ scheme including increased accuracy, reduced complexity and improved robustness to coloured noise. © The Institution of Engineering and Technology 2019.
ISSN号：1751-8784
是否译文：否
发表时间：2019-07-01
合写作者：潘美虹,胡振涛,李正勤
通讯作者：潘美虹,张弓