The extended coprime array (ECA) can detect a significantly larger number of targets
compared to the actual number of sensor elements. Considering the presence of impulse …

Recently, many sparse-based direction-of-arrival (DOA) estimation methods for coprime
arrays have become popular for their excellent detection performance. However, these …

We consider gridless direction-of-arrival (DOA) estimation of much more targets than the
number of physical sensors through the exploitation of multi-frequency sparse array design …

In this letter, a robust off-grid direction of arrival estimation algorithm based on sum-
difference co-array (SDCA) under nonuniform noise environment is proposed for noncircular …

In the array systems, the mutual coupling effect between antennas degrades the estimation
performance of direction of arrival (DOA) significantly. In this paper, the DOA estimation …

Direction of arrival (DOA) estimation methods suffer from the well-known off-grid problem,
that shows up when the true DOAs are not located exactly on the discretized sampling grid …

For two-dimensional (2D) direction of arrival (DOA) estimation in a uniform rectangular array
(URA), the conventional method converts the 2D problem into a one-dimensional (1D) …

Most of the single-snapshot direction-of-arrival (DOA) estimation algorithms fail to estimate
off-grid sources due to finite discretized sampling grid points, such as conventional …

Direction-of-arrival (DOA), power, and achievable degrees-of-freedom (DOFs) are
fundamental parameters for source estimation. In this paper, we propose a novel sparse …

Minimum redundancy array (MRA) has the maximum aperture with continuous difference co-
array among various sparse arrays with same number of physical sensors, but it is hard to …