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15 February 2022 DoA estimation based on accelerated structured alternating projection using coprime array
Yuqi Zhang, Shengheng Liu, Zihuan Mao, Yongming Huang
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Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 121660T (2022) https://doi.org/10.1117/12.2607565
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong
Abstract
In this paper, we address the problem of direction finding using coprime array, which is one of the most preferred sparse array configurations in the radar community. Motivated by the fact that conventional algorithms based on the convex relaxation is computationally expensive, we propose a non-convex accelerated structured alternating projection-based direction-of-arrival (DoA) estimation approach without the need to solve a semi-definite programming. The low rank Hankel matrices constructed by the sub-arrays of the virtual uniform linear array (ULA) and the sparse hole signal respectively correspond to the sets of low-rank matrices and sparse manifolds. After initialization, we update the estimations by iterative projections between the two sets, which employs an accelerated low-rank approximation method. Once the desired Hankel matrix with DoA information is recovered, simple subspace-based spectral estimation algorithms can be applied to obtain the target directions. The estimation performance in terms of root-mean-square error is examined and the superiority of the proposed method over the competitive approaches in the computational cost sense is also demonstrated.
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Yuqi Zhang, Shengheng Liu, Zihuan Mao, and Yongming Huang "DoA estimation based on accelerated structured alternating projection using coprime array", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 121660T (15 February 2022); https://doi.org/10.1117/12.2607565
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KEYWORDS
Sensors
Matrices
Signal to noise ratio
Detection and tracking algorithms
Reconstruction algorithms
Array processing
Radar signal processing
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