Sparsity-Based DOA Estimation with Gain and Phase Error Calibration of Generalized Nested Array
Joint Authors
Feng, Ziang
Hu, Guoping
Zhou, Hao
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Sparse arrays, which can localize multiple sources with less physical sensors, have attracted more attention since they were proposed.
However, for optimal performance of sparse arrays, it is usually assumed that the circumstances are ideal.
But in practice, the performance of sparse arrays will suffer from the model errors like mutual coupling, gain and phase error, and sensor’s location error, which causes severe performance degradation or even failure of the direction of arrival (DOA) estimation algorithms.
In this study, we follow with interest and propose a covariance-based sparse representation method in the presence of gain and phase errors, where a generalized nested array is employed.
The proposed strategy not only enhances the degrees of freedom (DOFs) to deal with more sources but also obtains more accurate DOA estimations despite gain and phase errors.
The Cramer–Rao bound (CRB) derivation is analyzed to demonstrate the robustness of the method.
Finally, numerical examples illustrate the effectiveness of the proposed method from DOA estimation.
American Psychological Association (APA)
Feng, Ziang& Hu, Guoping& Zhou, Hao. 2020. Sparsity-Based DOA Estimation with Gain and Phase Error Calibration of Generalized Nested Array. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1193433
Modern Language Association (MLA)
Feng, Ziang…[et al.]. Sparsity-Based DOA Estimation with Gain and Phase Error Calibration of Generalized Nested Array. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1193433
American Medical Association (AMA)
Feng, Ziang& Hu, Guoping& Zhou, Hao. Sparsity-Based DOA Estimation with Gain and Phase Error Calibration of Generalized Nested Array. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1193433
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193433