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The problem of two-dimensional frequency estimation of a single-tone in white Gaussian noise is addressed in this paper, through a novel computationally efficient approach, referred to as beamspace principal-singular-vector utilization modal analysis (B-PUMA). Due to the centro-Hermitian structure inherent in the data model, the complex data matrix can be converted to real-valued via a DFT beamspace...
A two-step reliability test (TSRT) based unitary root-MUSIC algorithm for direction-of-arrival (DOA) estimation is proposed in this paper. We combine the conventional beamforming and unitary root-MUSIC to compute the DOA estimates and employ the pseudo-noise resampling (PR) technique to construct a DOA estimator bank. Unlike the standard reliability test, we devise the TSRT which retains the successful...
Conventional subspace estimation methods rely on the eigenvalue decomposition (EVD) of sample covariance matrix (SCM). For a large array, the EVD-based algorithms inevitably lead to heavy computational load due to the calculation of SCM and its EVD. To circumvent this problem, a Nyström-Based algorithm for subspace estimation is proposed in this paper. In particular, we construct a rank-k EVD method...
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