2-D unitary matrix pencil method for efficient direction of arrival estimation
Digital Signal Processing
Conjugate unitary ESPRIT for real sources adapted to the coherent case
Signal Processing
Computationally efficient 2D beamspace matrix pencil method for direction of arrival estimation
Digital Signal Processing
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Eigenstructure methods for estimating angles of arrival of radiation sources generally require complex computations in computing eigencomponents of the covariance matrix and calculating the search function. A unitary transformation method that transforms the complex covariance matrix of an equally spaced linear array, which is Hermitian persymmetric, and the complex search vector into a real symmetric matrix and a real vector, respectively is presented. Both tasks can be accomplished by real computations. The sampled covariance matrix available is not persymmetric. To suit the unitary transformation method, a persymmetrized estimator of the sampled covariance matrix, which is optimal in the sense of Euclidean distance, is proposed