Designing matching waveform pair with sparse frequency and low autocorrelation sidelobes
Abstract Sparse frequency waveform is widely used to suppress the narrowband interferences. The performance that can be achieved with a single waveform is limited. The authors study the approach to design a pair of matching waveforms with low autocorrelation sidelobes and arbitrary frequency stopban...
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Wiley
2021
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oai:doaj.org-article:05f5398e1e2d45b583d720de7b61b7372021-11-16T10:18:22ZDesigning matching waveform pair with sparse frequency and low autocorrelation sidelobes1350-911X0013-519410.1049/ell2.12025https://doaj.org/article/05f5398e1e2d45b583d720de7b61b7372021-01-01T00:00:00Zhttps://doi.org/10.1049/ell2.12025https://doaj.org/toc/0013-5194https://doaj.org/toc/1350-911XAbstract Sparse frequency waveform is widely used to suppress the narrowband interferences. The performance that can be achieved with a single waveform is limited. The authors study the approach to design a pair of matching waveforms with low autocorrelation sidelobes and arbitrary frequency stopbands. Two algorithms based on the minimum mean square error (MMSE) between the actual waveform characteristics and the desired waveform characteristics are proposed to deal with this problem. The constrained optimization problem is solved by an alternating iteration method. Numerical experiments show that the proposed algorithms can provide better performance than the existing methods.Xiaoying ChenBaixiao ChenChuanzhang WuWileyarticleElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENElectronics Letters, Vol 57, Iss 1, Pp 34-36 (2021) |
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DOAJ |
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Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Electrical engineering. Electronics. Nuclear engineering TK1-9971 Xiaoying Chen Baixiao Chen Chuanzhang Wu Designing matching waveform pair with sparse frequency and low autocorrelation sidelobes |
description |
Abstract Sparse frequency waveform is widely used to suppress the narrowband interferences. The performance that can be achieved with a single waveform is limited. The authors study the approach to design a pair of matching waveforms with low autocorrelation sidelobes and arbitrary frequency stopbands. Two algorithms based on the minimum mean square error (MMSE) between the actual waveform characteristics and the desired waveform characteristics are proposed to deal with this problem. The constrained optimization problem is solved by an alternating iteration method. Numerical experiments show that the proposed algorithms can provide better performance than the existing methods. |
format |
article |
author |
Xiaoying Chen Baixiao Chen Chuanzhang Wu |
author_facet |
Xiaoying Chen Baixiao Chen Chuanzhang Wu |
author_sort |
Xiaoying Chen |
title |
Designing matching waveform pair with sparse frequency and low autocorrelation sidelobes |
title_short |
Designing matching waveform pair with sparse frequency and low autocorrelation sidelobes |
title_full |
Designing matching waveform pair with sparse frequency and low autocorrelation sidelobes |
title_fullStr |
Designing matching waveform pair with sparse frequency and low autocorrelation sidelobes |
title_full_unstemmed |
Designing matching waveform pair with sparse frequency and low autocorrelation sidelobes |
title_sort |
designing matching waveform pair with sparse frequency and low autocorrelation sidelobes |
publisher |
Wiley |
publishDate |
2021 |
url |
https://doaj.org/article/05f5398e1e2d45b583d720de7b61b737 |
work_keys_str_mv |
AT xiaoyingchen designingmatchingwaveformpairwithsparsefrequencyandlowautocorrelationsidelobes AT baixiaochen designingmatchingwaveformpairwithsparsefrequencyandlowautocorrelationsidelobes AT chuanzhangwu designingmatchingwaveformpairwithsparsefrequencyandlowautocorrelationsidelobes |
_version_ |
1718426524922675200 |