Joint Radar-Communications Exploiting Optimized OFDM Waveforms

We propose novel Joint Radar-communication spectrum sharing strategies exploiting orthogonal frequency-division multiplexing (OFDM) waveforms that concurrently achieve the objectives of both radar and communication systems. An OFDM transmitter is considered that transmits dual-purpose OFDM subcarrie...

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Autores principales: Ammar Ahmed, Yimin D. Zhang, Aboulnasr Hassanien
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/efdc32d315bc4c7699e8f7860d321723
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spelling oai:doaj.org-article:efdc32d315bc4c7699e8f7860d3217232021-11-11T18:54:58ZJoint Radar-Communications Exploiting Optimized OFDM Waveforms10.3390/rs132143762072-4292https://doaj.org/article/efdc32d315bc4c7699e8f7860d3217232021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4376https://doaj.org/toc/2072-4292We propose novel Joint Radar-communication spectrum sharing strategies exploiting orthogonal frequency-division multiplexing (OFDM) waveforms that concurrently achieve the objectives of both radar and communication systems. An OFDM transmitter is considered that transmits dual-purpose OFDM subcarriers such that all the subcarriers are exploited for the primary radar function and further exclusively allocated to the secondary communication function serving multiple users. The waveform optimization is performed by employing mutual information (MI) as the optimization criterion for both radar and communication operations. For the purpose of radar performance optimization, we consider the MI between the frequency-dependent target response and the transmit OFDM waveforms. On the other hand, communication system performance is evaluated in terms of the MI between the frequency-dependent communication channels of communication users with the transmit OFDM subcarriers. These optimization objectives not only enable the transmit power allocation of the OFDM subcarriers, but also govern the subcarrier distribution among the communication users. Two resource optimization scenarios are considered, resulting in radar-centric and cooperative resource allocation strategies that exploit convex and mixed-integer linear programming optimization problems for power allocation and subcarrier distribution, respectively. We further present a chunk subcarrier allocation approach that applies to both optimization strategies to reduce the computational complexity with a trivial performance loss. Simulation results are presented to illustrate the effectiveness of the proposed strategies.Ammar AhmedYimin D. ZhangAboulnasr HassanienMDPI AGarticleJoint Radar-communicationsmutual informationmixed-integer linear programmingspectrum sharingorthogonal frequency-division multiplexing (OFDM)ScienceQENRemote Sensing, Vol 13, Iss 4376, p 4376 (2021)
institution DOAJ
collection DOAJ
language EN
topic Joint Radar-communications
mutual information
mixed-integer linear programming
spectrum sharing
orthogonal frequency-division multiplexing (OFDM)
Science
Q
spellingShingle Joint Radar-communications
mutual information
mixed-integer linear programming
spectrum sharing
orthogonal frequency-division multiplexing (OFDM)
Science
Q
Ammar Ahmed
Yimin D. Zhang
Aboulnasr Hassanien
Joint Radar-Communications Exploiting Optimized OFDM Waveforms
description We propose novel Joint Radar-communication spectrum sharing strategies exploiting orthogonal frequency-division multiplexing (OFDM) waveforms that concurrently achieve the objectives of both radar and communication systems. An OFDM transmitter is considered that transmits dual-purpose OFDM subcarriers such that all the subcarriers are exploited for the primary radar function and further exclusively allocated to the secondary communication function serving multiple users. The waveform optimization is performed by employing mutual information (MI) as the optimization criterion for both radar and communication operations. For the purpose of radar performance optimization, we consider the MI between the frequency-dependent target response and the transmit OFDM waveforms. On the other hand, communication system performance is evaluated in terms of the MI between the frequency-dependent communication channels of communication users with the transmit OFDM subcarriers. These optimization objectives not only enable the transmit power allocation of the OFDM subcarriers, but also govern the subcarrier distribution among the communication users. Two resource optimization scenarios are considered, resulting in radar-centric and cooperative resource allocation strategies that exploit convex and mixed-integer linear programming optimization problems for power allocation and subcarrier distribution, respectively. We further present a chunk subcarrier allocation approach that applies to both optimization strategies to reduce the computational complexity with a trivial performance loss. Simulation results are presented to illustrate the effectiveness of the proposed strategies.
format article
author Ammar Ahmed
Yimin D. Zhang
Aboulnasr Hassanien
author_facet Ammar Ahmed
Yimin D. Zhang
Aboulnasr Hassanien
author_sort Ammar Ahmed
title Joint Radar-Communications Exploiting Optimized OFDM Waveforms
title_short Joint Radar-Communications Exploiting Optimized OFDM Waveforms
title_full Joint Radar-Communications Exploiting Optimized OFDM Waveforms
title_fullStr Joint Radar-Communications Exploiting Optimized OFDM Waveforms
title_full_unstemmed Joint Radar-Communications Exploiting Optimized OFDM Waveforms
title_sort joint radar-communications exploiting optimized ofdm waveforms
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/efdc32d315bc4c7699e8f7860d321723
work_keys_str_mv AT ammarahmed jointradarcommunicationsexploitingoptimizedofdmwaveforms
AT yimindzhang jointradarcommunicationsexploitingoptimizedofdmwaveforms
AT aboulnasrhassanien jointradarcommunicationsexploitingoptimizedofdmwaveforms
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