Research Article
Mutual Coupling Estimation in DOA Estimation for Mixed Wideband Signals
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@INPROCEEDINGS{10.1007/978-3-319-73564-1_61, author={Jiaqi Zhen and Yong Liu and Yanchao Li}, title={Mutual Coupling Estimation in DOA Estimation for Mixed Wideband Signals}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={DOA estimation Mutual coupling Far-field signals Near-field signals Wideband signals}, doi={10.1007/978-3-319-73564-1_61} }- Jiaqi Zhen
Yong Liu
Yanchao Li
Year: 2018
Mutual Coupling Estimation in DOA Estimation for Mixed Wideband Signals
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_61
Abstract
With the electromagnetic frequency getting higher and higher, the distance between the sensors is becoming smaller and smaller, so the mutual coupling is increasingly obvious, it will lead to the mismatch between actual and ideal array manifold. Therefore, a novel mutual coupling error calculation approach in direction of arrival (DOA) estimation for mixed wideband signals is provided in this paper. First, the signals are transformed on the focusing frequency. Then root finding is employed for determining the far-field signals. Finally, mutual coupling error can be calculated according to the orthogonality of far-field signal subspace and noise subspace.
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