MIMO radar and communications spectrum sharing: A multiple-access perspective

Yu Rong; Alex R. Chiriyath; Daniel Bliss

doi:10.1109/SAM.2018.8448783

MIMO radar and communications spectrum sharing: A multiple-access perspective

Yu Rong, Alex R. Chiriyath, Daniel Bliss

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
Publisher	IEEE Computer Society
Pages	272-276
Number of pages	5
Volume	2018-July
ISBN (Print)	9781538647523
DOIs	https://doi.org/10.1109/SAM.2018.8448783
State	Published - Aug 27 2018
Event	10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 - Sheffield, United Kingdom Duration: Jul 8 2018 → Jul 11 2018

Other

Other	10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
Country	United Kingdom
City	Sheffield
Period	7/8/18 → 7/11/18

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ASJC Scopus subject areas

Signal Processing
Control and Systems Engineering
Electrical and Electronic Engineering

Cite this

Rong, Y., Chiriyath, A. R., & Bliss, D. (2018). MIMO radar and communications spectrum sharing: A multiple-access perspective. In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 (Vol. 2018-July, pp. 272-276). [8448783] IEEE Computer Society. https://doi.org/10.1109/SAM.2018.8448783

Rong, Y, Chiriyath, AR & Bliss, D 2018, MIMO radar and communications spectrum sharing: A multiple-access perspective. in 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. vol. 2018-July, 8448783, IEEE Computer Society, pp. 272-276, 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018, Sheffield, United Kingdom, 7/8/18. https://doi.org/10.1109/SAM.2018.8448783

@inproceedings{578bffb3f8a04ca59b1bcbf940a4e18a,

title = "MIMO radar and communications spectrum sharing: A multiple-access perspective",

abstract = "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.",

author = "Yu Rong and Chiriyath, {Alex R.} and Daniel Bliss",

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booktitle = "2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018",

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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.

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Access to Document

10.1109/SAM.2018.8448783