Abstract:

The new algorithm based on the information vector reconstruction is presented to estimate the angle for coherent signals in bistatic multiple-input multiple-output (MIMO) radar. The general block Hankel matrix is constructed to achieve the decorrelation by utilizing the elements of the target information vector. The conditions on the numbers of row and column for the general block Hankel matrix are derived under which the rank of the matrix is equal to the number of targets. And the signal and noise subspaces are exploited via the singular value decomposition (SVD) of the general block Hankel matrix. Then the estimation of signal parameters via ratational invariance technique (ESPRIT) algorithm is directly used to estimate the coherent angle with automatic pairing. Furthermore, two methods, receive data extraction and eigenvector extraction, are proposed to obtain the target information vector. The simulation results show that the angle of targets can be estimated efficiently without extra pairing; when striking balance between the angle estimation accuracy and the computation complexity, the column number of the general block Hankel matrix should be no less than the row number; the proposed method has a better estimation performance than the spatial smoothing algorithm in the low signal-to-noise ratio (SNR), and the estimation performance of the receive data extraction method outperforms that of the eigenvector extraction method.