FLEXARRAY: RANDOM PHASED ARRAY LAYOUTS FOR ANALYTICAL SPATIAL FILTERING

We propose a method for designing phased-arrays according to a given, analytically-specified, target beamshape. Building on the flexibeam framework, antenna locations are sampled from a probabilistic density function. Naturally scalable with the number of antennas, it is also computationally efficient and numerically stable, as it relies on analytical derivation. We prove that, under mild conditions, the achieved beamshapes converge uniformly to the target beamshapes as the number of antennas increases. We illustrate the technique through a number of examples. For instance, by use of the Laplace filter, beams with extremely fast decay away from the centre of focus are achieved. Some macroscopic observations result. We observe that matched beamforming weights may, for a given layout, achieve beamshapes targeting regions, rather than isolated directions as commonly believed. Additionally, the convergence analysis can be used to fore- cast the growth of future large phased arrays such as the Square Kilometre Array (SKA).


Published in:
2017 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp), 3380-3384
Presented at:
IEEE 2017 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, Louisiana, USA, 5-9 March 2017
Year:
2017
Publisher:
New York, Ieee
ISSN:
1520-6149
ISBN:
978-1-5090-4117-6
Keywords:
Laboratories:




 Record created 2017-06-02, last modified 2018-09-13

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