Super-Resolution DoA Estimation on a Co-Prime Array via Positive Atomic Norm Minimization

Hyeonjin Chung, Young Mi Park and Sunwoo Kim
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Hyeonjin Chung: Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea
Young Mi Park: Electronic Warfare PMO, Agency for Defense Development, Daejeon 305-600, Korea
Sunwoo Kim: Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea

Energies, 2020, vol. 13, issue 14, 1-11

Abstract: A super-resolution direction-of-arrival (DoA) estimation algorithm that employs a co-prime array and positive atomic norm minimization (ANM) is proposed. To exploit larger array cardinality, the co-prime array vector is constructed by arranging elements of a correlation matrix. The positive ANM is a technique that can enhance resolution when the coefficients of the atoms are the positive real numbers. A novel optimization problem is proposed to ensure the coefficients of the atoms are the positive real numbers, and the positive ANM is employed after solving the optimization problem. The simulation results show that the proposed algorithm achieves high resolution and has lower complexity than the other ANM-based super-resolution DoA estimation algorithm.

Keywords: super-resolution; positive atomic norm minimization; co-prime array; direction-of-arrival (DoA) estimation; continuous compressive sensing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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