Location and Orientation Optimization for Spatially Stretched Tripole Arrays Based on Compressive Sensing
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 this optimization
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 67Percent 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.
KeyWords
Sparse array, spatially stretched, tripole, compressive
sensing, Bayesian compressive sensing
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