… is formulated and solved using a cyclic optimization approach. The recovered covariance …
algorithm [13], and the covariance matrix sparse reconstruction (CMSR) algorithm [19]. The …

… ) estimation using coprime arrays from a ont-bit perspective, where the coarray correlations
of the quantized sparse … for augmented covariance matrix reconstruction. To fully utilize the …

… sparse processing for direction-of-arrival (DOA) estimation. The method solves a gridless
version of sparse covariance-based estimation using … of a Toeplitz approximation approach has …

… coprime arrays, where sparse reconstruction algorithms can achieve higher DOA estimation
… Afterwards, from the perspective of sparse reconstruction, the DOA estimation problem can …

… sparse reconstruction approach based on a coprime array of antennas is proposed to provide
reliable DOA estimation … matrix that enables DOA estimation before receiver despreading. …

… DOA estimation algorithm for coprime array based on the estimation of signal parameter via
… We firstly derive the observation vector of the virtual uniform linear array but the covariance …

… arrival (DOA) estimation using new proposed array geometries named sparse nested arrays
with coprime … Multiple simulations are presented to verify the effectiveness of our approach. …

… Unlike the state-of-the-art approach, our algorithm is insensitive to the phase differences …
suggest a new algorithm for estimating the DOAs of coherent sources using coprime arrays. The …

… of sources is equal to or larger than that of sensors, a virtual difference coarray is formed and
group sparse reconstruction and … approach for the 2-D DOA estimation using the proposed …

… estimation algorithm via coprime array interpolation. The proposed algorithm is based on
coprime array … In this section, we develop a novel approach for estimating the DOAs of coherent …