Sparse arrays can resolve significantly more scatterers or sources than sensor by utilizing
the co-array-a virtual array structure consisting of pairwise differences or sums of sensor …

As it is known, existing mixed near‐field and far‐field non‐circular source localisation rely on
the uniform linear array (ULA). Compared with the ULA, the sparse array can obtain more …

Recently, the ability of sparse arrays to achieve higher degrees of freedom (DOFs) and to be
less sensitive to the mutual coupling (MC) effect has aroused increasing attention. Aiming at …

Sparse sensor array selection arises in many engineering applications, where it is
imperative to obtain maximum spatial resolution from a limited number of array elements …

The recent criteria for designing sparse arrays used in many applications are the number of
degrees of freedom (DoFs) and mutual coupling. In this paper, two optimized sparse nested …

In this paper, we propose a vectorized noncircular MUSIC (VNCM) algorithm based on the
concept of the coarray, which can construct the difference and sum (diff–sum) coarray, for …

Recently, the concept of the difference and sum co-array (DSCa) has attracted much
attention in array signal processing due to its high degree of freedom (DOF). In this paper …

In this paper, we propose two kinds of improved nested arrays for direction of arrival (DOA)
estimation, which are obtained by rearranging physical sensors of the prototype nested …

In the past decade, sparse arrays have aroused considerable attention for the ability to
provide larger array aperture, more degrees of freedom (DOFs) and better estimation …

Direct position determination (DPD) is a new promising technique in wireless location.
Compared with conventional two-step localization methods, DPD achieves a higher …