Wideband DOA Estimation on Co-prime Array via 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 12, 1-11

Abstract: This paper introduces a low complexity wideband direction-of-arrival (DOA) estimation algorithm on the co-prime array. To increase the number of the detectable signal sources and to prevent an unnecessary increase in complexity, the low dimensional co-prime array vector is constructed by arranging elements of the correlation matrix at every frequency bin. The atomic norm minimization (ANM)-based approach resolves the grid-mismatch, which causes an inevitable error in the compressive sensing (CS)-based DOA estimation. However, the complexity surges when the ANM is exploited to the wideband DOA estimation on the co-prime array. The surging complexity of the ANM-based wideband DOA estimation on the co-prime array is handled by solving the time-saving semidefinite programming (SDP) motivated by the ANM for multiple measurement vector (MMV) case. Simulation results show that the proposed algorithm has high accuracy and low complexity compared to compressive sensing (CS)-based wideband DOA estimation algorithms that exploit the co-prime array.

Keywords: atomic norm minimization (ANM); wideband sources; direction-of-arrival (DOA) estimation; co-prime array (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 references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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