Direct Position Determination for Augmented Coprime Arrays via Weighted Subspace Data Fusion Method | Zendy

Yang Qian | Zendy; Zhongtian Yang | Zendy; Haowei Zeng | Zendy

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Direct Position Determination for Augmented Coprime Arrays via Weighted Subspace Data Fusion Method

Author(s) -

Yang Qian,

Zhongtian Yang,

Haowei Zeng

Publication year - 2021

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2021/2825025

Subject(s) - coprime integers , subspace topology , position (finance) , weighting , algorithm , sensitivity (control systems) , stability (learning theory) , computer science , control theory (sociology) , mathematics , artificial intelligence , engineering , electronic engineering , physics , acoustics , machine learning , control (management) , finance , economics

Direct position determination (DPD) for augmented coprime arrays is investigated in this paper. Augmented coprime array expands degree of freedom and array aperture and improves positioning accuracy. Because of poor stability and noise sensitivity of the subspace data fusion (SDF) method, we propose two weighted subspace data fusion (W-SDF) algorithms for direct position determination. Simulation results show that two W-SDF algorithms have a prominent promotion in positioning accuracy than SDF, Capon, and propagator method (PM) algorithm for augmented coprime arrays. SDF based on optimal weighting (OW-SDF) is slightly better than SDF based on SNR weighting (SW-SDF) in positioning accuracy. The performance for DPD of the W-SDF method with augmented coprime arrays is better than that of the W-SDF method with uniform arrays.

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