Codesign of beam pattern and sparse frequency waveforms for MIMO radar

Multiple-input multiple-output (MIMO) radar takes the advantages of high degrees of freedom for beam pattern design and waveform optimization, because each antenna in centralized MIMO radar system can transmit different signal waveforms. When continuous band is divided into several pieces, sparse fr...

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Main Authors: Mai, Chaoyun, Lu, Songtao, Sun, Jinping, Wang, Guohua
Other Authors: Temasek Laboratories
Format: Article
Language:English
Published: 2015
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Online Access:https://hdl.handle.net/10356/107379
http://hdl.handle.net/10220/25575
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1073792020-09-26T22:18:24Z Codesign of beam pattern and sparse frequency waveforms for MIMO radar Mai, Chaoyun Lu, Songtao Sun, Jinping Wang, Guohua Temasek Laboratories DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio Multiple-input multiple-output (MIMO) radar takes the advantages of high degrees of freedom for beam pattern design and waveform optimization, because each antenna in centralized MIMO radar system can transmit different signal waveforms. When continuous band is divided into several pieces, sparse frequency radar waveforms play an important role due to the special pattern of the sparse spectrum. In this paper, we start from the covariance matrix of the transmitted waveform and extend the concept of sparse frequency design to the study of MIMO radar beam pattern. With this idea in mind, we first solve the problem of semidefinite constraint by optimization tools and get the desired covariance matrix of the ideal beam pattern. Then, we use the acquired covariance matrix and generalize the objective function by adding the constraint of both constant modulus of the signals and corresponding spectrum. Finally, we solve the objective function by the cyclic algorithm and obtain the sparse frequency MIMO radar waveforms with desired beam pattern. The simulation results verify the effectiveness of this method. Published version 2015-05-18T04:56:13Z 2019-12-06T22:29:39Z 2015-05-18T04:56:13Z 2019-12-06T22:29:39Z 2015 2015 Journal Article Mai, C., Lu, S., Sun, J., & Wang, G. (2015). Codesign of beam pattern and sparse frequency waveforms for MIMO radar. International journal of antennas and propagation, 2015. https://hdl.handle.net/10356/107379 http://hdl.handle.net/10220/25575 10.1155/2015/563941 en International journal of antennas and propagation © 2015 Chaoyun Mai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 13 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
Mai, Chaoyun
Lu, Songtao
Sun, Jinping
Wang, Guohua
Codesign of beam pattern and sparse frequency waveforms for MIMO radar
description Multiple-input multiple-output (MIMO) radar takes the advantages of high degrees of freedom for beam pattern design and waveform optimization, because each antenna in centralized MIMO radar system can transmit different signal waveforms. When continuous band is divided into several pieces, sparse frequency radar waveforms play an important role due to the special pattern of the sparse spectrum. In this paper, we start from the covariance matrix of the transmitted waveform and extend the concept of sparse frequency design to the study of MIMO radar beam pattern. With this idea in mind, we first solve the problem of semidefinite constraint by optimization tools and get the desired covariance matrix of the ideal beam pattern. Then, we use the acquired covariance matrix and generalize the objective function by adding the constraint of both constant modulus of the signals and corresponding spectrum. Finally, we solve the objective function by the cyclic algorithm and obtain the sparse frequency MIMO radar waveforms with desired beam pattern. The simulation results verify the effectiveness of this method.
author2 Temasek Laboratories
author_facet Temasek Laboratories
Mai, Chaoyun
Lu, Songtao
Sun, Jinping
Wang, Guohua
format Article
author Mai, Chaoyun
Lu, Songtao
Sun, Jinping
Wang, Guohua
author_sort Mai, Chaoyun
title Codesign of beam pattern and sparse frequency waveforms for MIMO radar
title_short Codesign of beam pattern and sparse frequency waveforms for MIMO radar
title_full Codesign of beam pattern and sparse frequency waveforms for MIMO radar
title_fullStr Codesign of beam pattern and sparse frequency waveforms for MIMO radar
title_full_unstemmed Codesign of beam pattern and sparse frequency waveforms for MIMO radar
title_sort codesign of beam pattern and sparse frequency waveforms for mimo radar
publishDate 2015
url https://hdl.handle.net/10356/107379
http://hdl.handle.net/10220/25575
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