Fast realization of root MUSIC using multi-taper real polynomial rooting

Wu, Jianxin; Wang, Tong; Bao, Zheng

doi:10.1016/j.sigpro.2014.06.001

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…This section roughly compares the mutual coupling effects of the S-IMSIC array model and the other two array models using weight functions ω(1), ω (2), ω (3). The latter functions of the S-IMSIC array model are as follows:…”

Section: Influence Of Mutual Coupling Effectmentioning

confidence: 99%

“…Traditional wireless communication considers the user's distance to the base station to be significantly different from the antenna size of the base station. Therefore, a typical array reception model relies on the far-field assumption [1][2][3], i.e., the user-transmitted signal incident to the base station antenna can be regarded as a plane wave. However, in next-generation wireless communication systems, enhancing the spatial resolution of the base station and improving the spatial service ability is one of the main problems facing the current ground observation system.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Low-Complexity Method for Near-Field Sources Based on an S-IMISC Array Model

Yang

Han

et al. 2023

Electronics

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Array optimization has recently received significant attention owing to its several advantages, such as larger array aperture and greater degrees of freedom (DOFs). However, current works focus on far-field sources, while array optimization for near-field sources has not been adequately investigated. Therefore, this work develops a new symmetry sparse array model for near-field sources based on the improved maximum inter-element spacing constraint (IMISC). The proposed symmetry IMISC (S-IMISC) array model has all the advantages of traditional sparse array models. Compared with traditional sparse array models, the S-IMISC array model affords more uniform DOFs and is less affected by mutual coupling. Additionally, in order to improve the real-time performance of near-field sources localization, the characteristic equation-based method (CEM) is used to obtain the azimuth information of near-field sources which can avoid eigenvalue decomposition (EVD), and a spectrum peak search and compression scheme is used to obtain the distance information by searching the partial area instead of the whole Fresnel area, thereby significantly reducing computation complexity. Extensive simulations verify the advantages of the proposed algorithm and the S-IMISC array model.

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Section: Influence Of Mutual Coupling Effectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%