Augmented coarrays can be derived from spatially undersampled signals of sparse arrays
for underdetermined direction-of-arrival (DOA) estimation. With the extended dimension of …

Conventional canonical polyadic decomposition (CPD) approach for tensor-based sparse
array direction-of-arrival (DOA) estimation typically partitions the coarray statistics to …

In this paper, a coarray tensor completion-based direction-of-arrival (DOA) estimation
method is proposed for coprime planar array. To perform Nyquist-matched coarray signal …

The emerging tensor beamformers are capable of structurally filtering multi-dimensional
signals of sensor arrays. Although the popular sparse arrays have been utilized to enhance …

Tensor-based direction-of-arrival (DOA) estimation using sparse arrays suffers performance
loss from noise perturbations which are twofold, namely, the noise power embedded in the …

Nowadays, sparse arrays have been a focus for direction‐of‐arrival (DOA). The existing
arrays can achieve high degree of freedom (DOF) bigger than the number of sensors when …

Coarray tensor-based joint direction-of-departure (DOD) and direction-of-arrival (DOA)
estimation with sparse multiple-input multiple-output (MIMO) radar for industrial internet of …