In array processing, mutual coupling between sensors has an adverse effect on the
estimation of parameters (eg, DOA). Sparse arrays such as nested arrays, coprime arrays …

In array processing, mutual coupling between sensors has an adverse effect on the
estimation of parameters (eg, DOA). While there are methods to counteract this through …

In array processing, mutual coupling between sensors has an adverse effect on the
estimation of parameters (eg, DOA). Sparse arrays, such as nested arrays, coprime arrays …

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 …

Existing sparse array (SA) geometries, such as coprime and nested arrays, can be regarded
as a concatenation of two uniform linear arrays (ULAs). Such arrays lead to a significant …

We present novel generalized non-redundant sparse array design strategies that achieve
the highest possible number of degrees-of-freedom (DOFs) for direction-of-arrival (DOA) …

In this letter, we propose a generalized nested array (GNA) with two flexible co-prime factors
for enlarging the inter-element spacing of two concatenated uniform linear subarrays. It is …

Linear [one-dimensional (1-D)] sparse arrays such as nested arrays and minimum
redundancy arrays have hole-free difference coarrays with O (N 2) virtual sensor elements …

In this work, we present a new coprime array structure termed thinned coprime array (TCA),
which exploits the redundancy in the structure of existing coprime array and achieves the …

Recently, nested and coprime arrays have attracted considerable interest due to their
capability of providing increased array aperture, enhanced degrees of freedom (DOFs), and …