2013
DOI: 10.3724/sp.j.1146.2012.00021
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MUSIC Algorithm Based on Sparse Coprime Electromagnetic Vector Arrays

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“…For 2D direction finding and polarisation parameter estimation with sparse arrays, a sequential SR scheme is presented in [18] to estimate 2D DOA and Stokes parameters of CP or PP signals, while this technique can be only realised with a particularly designed L‐shape array. In [19], a 3D smoothing‐based polarimetric multiple signal classification (3DS‐PMUSIC) method is proposed for 2D coprime VA arrays, whereas the process of spatial smoothing sacrifices the aperture of the constructed virtual array and multi‐dimensional search is not computationally efficient. In [20], SR‐based 2D DOA and polarisation estimation methods are proposed by using three parallel coprime COLD arrays.…”
Section: Introductionmentioning
confidence: 99%
“…For 2D direction finding and polarisation parameter estimation with sparse arrays, a sequential SR scheme is presented in [18] to estimate 2D DOA and Stokes parameters of CP or PP signals, while this technique can be only realised with a particularly designed L‐shape array. In [19], a 3D smoothing‐based polarimetric multiple signal classification (3DS‐PMUSIC) method is proposed for 2D coprime VA arrays, whereas the process of spatial smoothing sacrifices the aperture of the constructed virtual array and multi‐dimensional search is not computationally efficient. In [20], SR‐based 2D DOA and polarisation estimation methods are proposed by using three parallel coprime COLD arrays.…”
Section: Introductionmentioning
confidence: 99%