An Improved DOA Estimation Method Based on Compressed Sensing for the Distributed Array
Author:
Affiliation:
1. School of Integrated Circuits and Electronics, Beijing Institute of Technology,Beijing,China
2. No.23 Inst. of the Second Academy China Aerospace Science and Industry Corporation,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10389815/10388491/10390810.pdf?arnumber=10390810
Reference10 articles.
1. Neural Network-Based Compression Framework for DOA Estimation Exploiting Distributed Array
2. A performance analysis of subspace-based methods in the presence of model errors. I. The MUSIC algorithm
3. Uni-vector-sensor ESPRIT for multisource azimuth, elevation, and polarization estimation
4. Two-Dimensional Direction-of-Arrival Estimation for Co-Prime Planar Arrays: A Partial Spectral Search Approach
5. Distributed source localization using ESPRIT algorithm
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