Investigation of beamforming patterns from volumetrically distributed phased arrays

Overturf, Drew; Buchanan, Kristopher; Jensen, Jeffrey T.; Flores-Molina, Carlos; Wheeland, Sara; Huff, Gregory H.

doi:10.1109/milcom.2017.8170756

Cited by 9 publications

(2 citation statements)

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“…Moreover, it covers 360 • of azimuth and 180 • of elevation angles with a single structure. We also notice that the proposed method is superior in terms of overall size and frequency independence compared to the distributed technique presented in Overturf et al (2017) which is using both temporal and spatial signal processing methodology. To compare our method with Srikanth et al (2017), we observe that in this reference the frequency dependence of the beam patterns is not taken into account during the design process.…”

Section: Introductionmentioning

confidence: 88%

“…Distributed beamforming methods using three dimensional volumetric arrays present higher flexibility in terms of throughput and bandwidth. In the analysis presented in Overturf et al (2017) different array topologies including cubic configuration have been considered. As expected, this work concludes that larger volumes of omnidirectional elements produce narrower radiation patterns.…”

Section: Introductionmentioning

confidence: 99%

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A new design for cubic spatially processed wideband arrays

Ghavami

2019

Multidim Syst Sign Process

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This paper presents a simple and novel formulation for the design and analysis of a generic cubic array with a single real coefficient for each antenna element, to steer the developed beam toward a certain desired angle in both azimuth (totally 360 • ) and elevation (totally 180 • ) directions. This configuration demonstrates frequency invariance of the directional patterns of the array within a relatively large fractional bandwidth which makes this array a potential candidate for wideband and ultra wideband applications. The required real coefficients are calculated based on matrix manipulation methods. However, the dimension of the matrices and vectors used in the computations are much less than the total number of antenna elements. Computer simulation shows the performance of the array with respect to the resolution of the main beam and frequency independence of the patterns and also in terms of the complexity and frequency range. Moreover, we will present a comparison between the proposed algorithm and the Fourier transform based methods and the adaptive least mean square algorithm.

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Section: Introductionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%