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Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing †
The coexistence of radar and communication systems is necessary to facilitate new wireless systems and services due to the shortage of the useful radio spectrum. Moreover, changes in spectrum regulation will be introduced in which the spectrum is allocated in larger chunks and different radio system...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003507/ https://www.ncbi.nlm.nih.gov/pubmed/35408233 http://dx.doi.org/10.3390/s22072619 |
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author | Cui, Yuanhao Koivunen, Visa Jing, Xiaojun |
author_facet | Cui, Yuanhao Koivunen, Visa Jing, Xiaojun |
author_sort | Cui, Yuanhao |
collection | PubMed |
description | The coexistence of radar and communication systems is necessary to facilitate new wireless systems and services due to the shortage of the useful radio spectrum. Moreover, changes in spectrum regulation will be introduced in which the spectrum is allocated in larger chunks and different radio systems need to share the spectrum. For example, 5G NR, LTE and Wi-Fi systems have to share the spectrum with S-band radars. Managing interference is a key task in coexistence scenarios. Cognitive radio and radar technologies facilitate using the spectrum in a flexible manner and sharing channel awareness between the two subsystems. In this paper, we propose a nullspace-based joint precoder–decoder design for coexisting multicarrier radar and multiuser multicarrier communication systems. The maximizing signal interference noise ratio (max-SINR) criterion and interference alignment (IA) constraints are employed in finding the precoder and decoder. By taking advantage of IA theory, a maximum degree of freedom upper bound for the [Formula: see text]-radar-communication-user interference channel can be achieved. Our simulation studies demonstrate that interference can be practically fully canceled in both communication and radar systems. This leads to improved detection performance in radar and a higher rate in communication subsystems. A significant performance gain over a nullspace-based precoder-only design is also obtained. |
format | Online Article Text |
id | pubmed-9003507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90035072022-04-13 Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing † Cui, Yuanhao Koivunen, Visa Jing, Xiaojun Sensors (Basel) Article The coexistence of radar and communication systems is necessary to facilitate new wireless systems and services due to the shortage of the useful radio spectrum. Moreover, changes in spectrum regulation will be introduced in which the spectrum is allocated in larger chunks and different radio systems need to share the spectrum. For example, 5G NR, LTE and Wi-Fi systems have to share the spectrum with S-band radars. Managing interference is a key task in coexistence scenarios. Cognitive radio and radar technologies facilitate using the spectrum in a flexible manner and sharing channel awareness between the two subsystems. In this paper, we propose a nullspace-based joint precoder–decoder design for coexisting multicarrier radar and multiuser multicarrier communication systems. The maximizing signal interference noise ratio (max-SINR) criterion and interference alignment (IA) constraints are employed in finding the precoder and decoder. By taking advantage of IA theory, a maximum degree of freedom upper bound for the [Formula: see text]-radar-communication-user interference channel can be achieved. Our simulation studies demonstrate that interference can be practically fully canceled in both communication and radar systems. This leads to improved detection performance in radar and a higher rate in communication subsystems. A significant performance gain over a nullspace-based precoder-only design is also obtained. MDPI 2022-03-29 /pmc/articles/PMC9003507/ /pubmed/35408233 http://dx.doi.org/10.3390/s22072619 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cui, Yuanhao Koivunen, Visa Jing, Xiaojun Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing † |
title | Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing † |
title_full | Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing † |
title_fullStr | Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing † |
title_full_unstemmed | Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing † |
title_short | Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing † |
title_sort | precoder and decoder co-designs for radar and communication spectrum sharing † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003507/ https://www.ncbi.nlm.nih.gov/pubmed/35408233 http://dx.doi.org/10.3390/s22072619 |
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