TY - GEN
T1 - Distributed Beamforming Techniques for Flexible Communications Networks
AU - Holtom, Jacob
AU - Ma, Owen
AU - Herschfelt, Andrew
AU - Landon, David G.
AU - Bliss, Daniel W.
N1 - Funding Information:
This material is based upon work funded in part by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR001121C0038. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Defense Advanced Research Projects Agency (DARPA). This document was approved for release by DARPA under DISTAR case 35458. DISTRIBUTION STATEMENT A. Approved for public release: distribution unlimited.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, we implement and demonstrate a distributed communications beamforming system that provides increased range, data rate, and robustness to interference. By treating two distributed, locally-coherent meshes as antenna arrays, with n_m_A and n_m_B elements respectively, we develop an approach that produces an n_m_A2n_m_B performance improvement in signal-to-noise ratio over a traditional single-antenna to single-antenna link in the absence of interference. We further demonstrate that in the presence of interference, the signal-to-interference-plus-noise ratio improvement is significantly greater for a wide range of environments. We implement this system on a network of software-defined radios and demonstrate both simulated and experimental results both with and without interference.
AB - In this paper, we implement and demonstrate a distributed communications beamforming system that provides increased range, data rate, and robustness to interference. By treating two distributed, locally-coherent meshes as antenna arrays, with n_m_A and n_m_B elements respectively, we develop an approach that produces an n_m_A2n_m_B performance improvement in signal-to-noise ratio over a traditional single-antenna to single-antenna link in the absence of interference. We further demonstrate that in the presence of interference, the signal-to-interference-plus-noise ratio improvement is significantly greater for a wide range of environments. We implement this system on a network of software-defined radios and demonstrate both simulated and experimental results both with and without interference.
UR - http://www.scopus.com/inward/record.url?scp=85127028927&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127028927&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF53345.2021.9723094
DO - 10.1109/IEEECONF53345.2021.9723094
M3 - Conference contribution
AN - SCOPUS:85127028927
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 400
EP - 404
BT - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Y2 - 31 October 2021 through 3 November 2021
ER -