Lower bounds on the mean square error (MSE) play an important role in evaluating the
direction-of-arrival (DOA) estimation performance. Among numerous bounds for DOA …

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

Sparse arrays are known to achieve an increased number of degrees-of-freedom (DOFs) for
direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated …

Sparse array direction-of-arrival (DOA) estimation using tensor model has been developed
to handle multidimensional sub-Nyquist sampled signals. Furthermore, augmented virtual …

Adaptive beamforming using sparse arrays can alleviate system burden with a sub-Nyquist
sampling rate while achieving high resolution. To process multi-dimensional signals without …

Toeplitz matrix reconstruction algorithms (TMRAs) are one of the central subroutines in array
processing for wireless communication applications. The classical TMRAs have shown …

The covariance matrix serves an important role in direction-of-arrival (DOA) estimation for
joint sensing and communication systems. However, under the condition of limited …

Conventional direction-of-arrival (DOA) estimation methods for multiple-input multiple-output
(MIMO) joint sensing and communication system normally pursue high estimation accuracy …

Array sensor failure poses a serious challenge to robust direction-of-arrival (DOA) estimation
in complicated environments. Although existing matrix completion methods can successfully …

相比于标量传感器均匀阵列, 电磁矢量传感器(electromagnetic vector sensor, EMVS)
稀疏阵列能够在降低系统软硬件成本的同时感知更大范围, 更高维度的空间信号信息 …