Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint

Cognitive radar is an intelligent system, and it can adaptively transmit waveforms to the complex environment. The intelligent radar system should be able to provide different trade-offs among a variety of performance objectives. In this paper, we investigate the mutual information (MI) in signal-de...

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Main Authors: Wang Bin, Yang Wenfang, Wang Jinkuan
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/295493
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author Wang Bin
Yang Wenfang
Wang Jinkuan
author_facet Wang Bin
Yang Wenfang
Wang Jinkuan
author_sort Wang Bin
collection DOAJ
description Cognitive radar is an intelligent system, and it can adaptively transmit waveforms to the complex environment. The intelligent radar system should be able to provide different trade-offs among a variety of performance objectives. In this paper, we investigate the mutual information (MI) in signal-dependent interference and channel noise. We propose a waveform design method which can efficiently synthesize waveforms and provide a trade-off between estimation performance and detection performance. After obtaining a local optimal waveform, we apply the technique of generating a constant modulus signal with the given Fourier transform magnitude to the waveform. Finally we obtain a waveform that has constant modulus property.
format Article
id doaj-art-b4e9e5edbddf464c80741fbc39c7cdbf
institution OA Journals
issn 1110-757X
1687-0042
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-b4e9e5edbddf464c80741fbc39c7cdbf2025-08-20T02:23:31ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/295493295493Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus ConstraintWang Bin0Yang Wenfang1Wang Jinkuan2Northeastern University at Qinhuangdao, Qinhuangdao, Hebei 066004, ChinaNortheastern University at Qinhuangdao, Qinhuangdao, Hebei 066004, ChinaNortheastern University at Qinhuangdao, Qinhuangdao, Hebei 066004, ChinaCognitive radar is an intelligent system, and it can adaptively transmit waveforms to the complex environment. The intelligent radar system should be able to provide different trade-offs among a variety of performance objectives. In this paper, we investigate the mutual information (MI) in signal-dependent interference and channel noise. We propose a waveform design method which can efficiently synthesize waveforms and provide a trade-off between estimation performance and detection performance. After obtaining a local optimal waveform, we apply the technique of generating a constant modulus signal with the given Fourier transform magnitude to the waveform. Finally we obtain a waveform that has constant modulus property.http://dx.doi.org/10.1155/2013/295493
spellingShingle Wang Bin
Yang Wenfang
Wang Jinkuan
Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint
Journal of Applied Mathematics
title Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint
title_full Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint
title_fullStr Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint
title_full_unstemmed Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint
title_short Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint
title_sort adaptive waveform design for multiple radar tasks based on constant modulus constraint
url http://dx.doi.org/10.1155/2013/295493
work_keys_str_mv AT wangbin adaptivewaveformdesignformultipleradartasksbasedonconstantmodulusconstraint
AT yangwenfang adaptivewaveformdesignformultipleradartasksbasedonconstantmodulusconstraint
AT wangjinkuan adaptivewaveformdesignformultipleradartasksbasedonconstantmodulusconstraint