Compressive Sensing Based Two-Dimensional DOA Estimation Using L-Shaped Array in a Hostile Environment-Reference-Cited by-同舟云学术

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Compressive Sensing Based Two-Dimensional DOA Estimation Using L-Shaped Array in a Hostile Environment

Published:2019-12-29 Issue:6 Volume:36 Page:529-538
ISSN:0765-0019
Container-title:Traitement du Signal
language:
Short-container-title:TS

Author:

Ganguly Saurav,Ghosh Jayanta,Srinivas Kankanala,Kumar Puli,Mukhopadhyay Mainak

Funder

Ministry of Electronics and Information Technology (MeitY), Government of India

Publisher

International Information and Engineering Technology Association

Subject

Electrical and Electronic Engineering

Cited by 8 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. Advancements in Jammer Location Identification and Suppression: Employing a Multi-Target Least Square Constant Modulus Array Approach;Traitement du Signal;2024-04-30

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

3. Artificial Neural Network Based Classification Model For Minimum Redundancy Array and Minimum Hole Array;2023 International Conference on Communication, Circuits, and Systems (IC3S);2023-05-26

4. Compressive Sensing Based 2-D DOA Estimation by a Sparse L-Shaped Co-prime Array;2022 URSI Regional Conference on Radio Science (USRI-RCRS);2022-12-01

5. A High-Precision Two-Dimensional DOA Estimation Algorithm with Parallel Coprime Array;Circuits, Systems, and Signal Processing;2022-07-25

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