Compressive Sensing Based 2-D DOA Estimation by a Sparse L-Shaped Co-prime Array-Reference-Cited by-同舟云学术

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Compressive Sensing Based 2-D DOA Estimation by a Sparse L-Shaped Co-prime Array

Published:2022-12-01 Issue: Volume: Page:
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Container-title:2022 URSI Regional Conference on Radio Science (USRI-RCRS)
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Author:

Ganguly Saurav¹,Sarkar Indranil²,Kumar Puli Kishore³,Ghosh Jayanta⁴,Mukhopadhyay Mainak⁵

Affiliation:

1. Presidency University,Bengaluru,India,560064

2. Sanaka Educational Trust's Group of Institution,Durgapur,India,713212

3. National Institute of Technology,Tadepalligudem,Andhra Pradesh,India,534102

4. National Institute of Technology Patna,Patna,India,800005

5. Birla Institute of Technology Mesra, Deoghar Campus,Deoghar,India,814142

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10118363/10118434/10118452.pdf?arnumber=10118452

Reference18 articles.

1. Sparse Sensing With Co-Prime Samplers and Arrays

2. Multi-time Snapshot based Off-Grid DOA Estimation of Sparse Array Antennas using MFOCUSS Algorithm

3. Doa estimation by covariance matrix sparse reconstruction of coprime array

4. Performance Comparison of Reconstruction Algorithms in Compressive Sensing based Single Snapshot DOA Estimation;srinivas;IETE Journal of Research,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Use of Compressive Sensing Framework in Wireless Sensor Networks;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06

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