The design of sparse spatially stretched tripole
arrays is an important but also challenging task and this paper
proposes for the very first time efficient solutions to this problem.
Unlike for the design of traditional sparse antenna arrays, the
developed approaches optimise both the dipole locations and
orientations. The novelty of the paper consists in formulating
these optimisation problems into a form that can be solved by the
proposed compressive sensing and Bayesian compressive sensing
based approaches. The performance of the developed approaches
is validated and it is shown that accurate approximation of a
reference response can be achieved with a 67% reduction in the
number of dipoles required as compared to an equivalent uniform
spatially stretched tripole array, leading to a significant reduction
in the cost associated with the resulting arrays
