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Open AccessArticle

A Novel Real-Valued DOA Algorithm Based on Eigenvalue

by 1,2,3, 3 and 1,2,3,*
1
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China
2
Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University) Ministry of Industry and Information Technology, Harbin 150001, China
3
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(1), 40; https://doi.org/10.3390/s20010040
Received: 2 November 2019 / Revised: 11 December 2019 / Accepted: 12 December 2019 / Published: 19 December 2019
(This article belongs to the Section Physical Sensors)
To solve the high complexity of the subspace-based direction-of-arrival (DOA) estimation algorithm, a super-resolution DOA algorithm is built in this paper. However, in this method, matrix decomposition is required for each search angle. Therefore, in this paper, real-valued processing is used to reduce the scanning range by half, which is less effective in algorithm complexity. The super-resolution algorithm mainly uses the conservation of energy. By exploring the relationship between the covariance matrix and its complex conjugate, we constructed the real-valued matrix and introduced a real-valued searching source to make the operation of the matrix real-valued. Finally, the simulation experiments show that the proposed algorithm not only reduces the spectral search range by half but also has a higher angular resolution than the traditional algorithm. View Full-Text
Keywords: DOA; super-resolution; real-valued processing; algorithm complexity; search range DOA; super-resolution; real-valued processing; algorithm complexity; search range
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Yang, D.-S.; Chen, F.; Mo, S.-Q. A Novel Real-Valued DOA Algorithm Based on Eigenvalue. Sensors 2020, 20, 40.

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