TY - GEN
T1 - MIMO radar and communications spectrum sharing
T2 - 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
AU - Rong, Yu
AU - Chiriyath, Alex R.
AU - Bliss, Daniel
N1 - Funding Information:
This work was sponsored in part by the Office of Naval Research. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Office of Naval Research or the U.S. Government.
Publisher Copyright:
©2018 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/8/27
Y1 - 2018/8/27
N2 - In this paper,we investigate the joint multiple-input multiple-output (MIMO) radar and communications system convergence problem and develop a joint radar-communications performance bound using the concept of estimation rate for radar system and data information rate for communications system. At the radar receiver,we propose a Successive Interference Cancellation (SIC) strategy to estimate radar parameters and decode communications signal simultaneously.While,at the MIMO communications transmitter,we propose a spectrum sharing scheme and show that the optimal communications performance can be achieved through a spectral and spatial waterfilling algorithm. In the end, we show that the Multiple-Access (MAC) performance bound outperforms the result from the spectrally isolated MIMO radar-communications system.
AB - In this paper,we investigate the joint multiple-input multiple-output (MIMO) radar and communications system convergence problem and develop a joint radar-communications performance bound using the concept of estimation rate for radar system and data information rate for communications system. At the radar receiver,we propose a Successive Interference Cancellation (SIC) strategy to estimate radar parameters and decode communications signal simultaneously.While,at the MIMO communications transmitter,we propose a spectrum sharing scheme and show that the optimal communications performance can be achieved through a spectral and spatial waterfilling algorithm. In the end, we show that the Multiple-Access (MAC) performance bound outperforms the result from the spectrally isolated MIMO radar-communications system.
UR - http://www.scopus.com/inward/record.url?scp=85053630050&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053630050&partnerID=8YFLogxK
U2 - 10.1109/SAM.2018.8448783
DO - 10.1109/SAM.2018.8448783
M3 - Conference contribution
AN - SCOPUS:85053630050
SN - 9781538647523
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 272
EP - 276
BT - 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
PB - IEEE Computer Society
Y2 - 8 July 2018 through 11 July 2018
ER -