Research Article
Spatial Spectrum Estimation for Wideband Signals by Sparse Reconstruction in Continuous Domain
167 downloads
@INPROCEEDINGS{10.1007/978-3-319-73317-3_43, author={Jiaqi Zhen and Yanchao Li}, title={Spatial Spectrum Estimation for Wideband Signals by Sparse Reconstruction in Continuous Domain}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={Direction of arrival Sparse reconstruction Wideband signals Continuous domain}, doi={10.1007/978-3-319-73317-3_43} }- Jiaqi Zhen
Yanchao Li
Year: 2018
Spatial Spectrum Estimation for Wideband Signals by Sparse Reconstruction in Continuous Domain
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_43
Abstract
A novel spatial spectrum estimation method for two-dimensional wideband signals by sparse reconstruction in continuous domain is addressed in this paper. First, Discrete Fourier Transform (DFT) is employed for the data. Then the convex and corresponding dual problems of the data with most power are founded and solved. After that the sparse support sets are decided by semidefinite program and extracting roots. Finally, both of the direction of arrival (DOA) and the primary signals are determined. The proposed idea averts the off-grid effect based on grid partition, and some theoretical results are included to explain the effectiveness of the method.
Copyright © 2017–2024 EAI
