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Keywords = tripole sensor

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10 pages, 310 KB  
Article
Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays
by Kun Wang, Jin He, Ting Shu and Zhong Liu
Sensors 2016, 16(2), 248; https://doi.org/10.3390/s16020248 - 19 Feb 2016
Cited by 8 | Viewed by 4477
Abstract
We propose a parallel factor (PARAFAC) analysis-based angle and polarization estimation algorithm for multiple coherent sources using a uniformly-spaced linear tripole sensor array. By forming a PARAFAC model using the spatial signature of the tripole array, the new algorithm requires neither spatial smoothing [...] Read more.
We propose a parallel factor (PARAFAC) analysis-based angle and polarization estimation algorithm for multiple coherent sources using a uniformly-spaced linear tripole sensor array. By forming a PARAFAC model using the spatial signature of the tripole array, the new algorithm requires neither spatial smoothing nor vector-field smoothing to decorrelate the signal coherency. We also establish that the angle-polarization parameters of K coherent signals can be uniquely determined by PARAFAC analysis, as long as the number of tripoles L ≥ 2K − 1 . In addition, the proposed algorithm can offer enhanced angle and polarization estimation accuracy by extending the interspacing of the tripoles beyond a half wavelength. Full article
(This article belongs to the Section Physical Sensors)
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13 pages, 280 KB  
Article
Compressive Sensing Based Design of Sparse Tripole Arrays
by Matthew Hawes, Wei Liu and Lyudmila Mihaylova
Sensors 2015, 15(12), 31056-31068; https://doi.org/10.3390/s151229849 - 10 Dec 2015
Cited by 9 | Viewed by 5672
Abstract
This paper considers the problem of designing sparse linear tripole arrays. In such arrays at each antenna location there are three orthogonal dipoles, allowing full measurement of both the horizontal and vertical components of the received waveform. We formulate this problem from the [...] Read more.
This paper considers the problem of designing sparse linear tripole arrays. In such arrays at each antenna location there are three orthogonal dipoles, allowing full measurement of both the horizontal and vertical components of the received waveform. We formulate this problem from the viewpoint of Compressive Sensing (CS). However, unlike for isotropic array elements (single antenna), we now have three complex valued weight coefficients associated with each potential location (due to the three dipoles), which have to be simultaneously minimised. If this is not done, we may only set the weight coefficients of individual dipoles to be zero valued, rather than complete tripoles, meaning some dipoles may remain at each location. Therefore, the contributions of this paper are to formulate the design of sparse tripole arrays as an optimisation problem, and then we obtain a solution based on the minimisation of a modified l 1 norm or a series of iteratively solved reweighted minimisations, which ensure a truly sparse solution. Design examples are provided to verify the effectiveness of the proposed methods and show that a good approximation of a reference pattern can be achieved using fewer tripoles than a Uniform Linear Array (ULA) of equivalent length. Full article
(This article belongs to the Section Physical Sensors)
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