Compressed Arrays and Hybrid Channel Sensing: A Cramér-Rao Bound Based Analysis-Reference-Cited by-同舟云学术

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Compressed Arrays and Hybrid Channel Sensing: A Cramér-Rao Bound Based Analysis

Published:2020 Issue: Volume:27 Page:1395-1399
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Koochakzadeh Ali^ORCID,Pal Piya^ORCID

Funder

Office of Naval Research

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/97/8966529/9154516-aam.pdf

Cited by 6 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. Cramér-Rao Bound for Generalized Multi-Level Prime Array with and without Compression;2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom);2024-07-08

2. Sparse Sensor Arrays for Active Sensing: Models, Configurations, and Applications;Sparse Arrays for Radar, Sonar, and Communications;2023-12-15

3. DOA Estimation in B5G/6G: Trends and Challenges;Sensors;2022-07-08

4. A Compressive Measurement-Based Bistatic MIMO Radar System for Direction Finding;IEEE Systems Journal;2022

5. Resource-Efficient Active Compressive Sensing Using Analog Beamforming and Sparse Arrays;2021 55th Asilomar Conference on Signals, Systems, and Computers;2021-10-31

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