LFM Signal Analysis Based on Improved Lv Distribution
In this paper, we propose a parameter estimation method named improved Lv distribution (ImLVD) for linear frequency modulated (LFM) signals. In this method, based on the scaling principle, we present a two-scale estimation strategy to acquire low computational cost. The two-scale estimation strategy...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8906060/ |
| _version_ | 1818665138197102592 |
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| author | Yu Wang Ke Wang Fulong Jing Xiaoyu Lan Yan Zou Liangtian Wan |
| author_facet | Yu Wang Ke Wang Fulong Jing Xiaoyu Lan Yan Zou Liangtian Wan |
| author_sort | Yu Wang |
| collection | DOAJ |
| description | In this paper, we propose a parameter estimation method named improved Lv distribution (ImLVD) for linear frequency modulated (LFM) signals. In this method, based on the scaling principle, we present a two-scale estimation strategy to acquire low computational cost. The two-scale estimation strategy includes coarse estimation operation and fine estimation operation. To implement the strategy, improved scaled Fourier transform (ISFT) and Chirp-Z transform (CZT) operation are used, where the ISFT can be implemented by fast Fourier transform (FFT) and complex multiplications. By changing the frequency searching range of ISFT, the ISFT is used in different frequency ranges. To improve the anti-noise, we present an improved parameter selection criterion which can reduce the noise correlation effectively. In this paper, the implementation, anti-noise performance, and computational cost are analyzed. Through simulations and analyses, we demonstrate that the ImLVD outperforms the compared algorithms. |
| first_indexed | 2024-12-17T05:43:52Z |
| format | Article |
| id | doaj.art-9e19026a20234f7bb3a44463fd4f1e5b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:43:52Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-9e19026a20234f7bb3a44463fd4f1e5b2022-12-21T22:01:22ZengIEEEIEEE Access2169-35362019-01-01716903816904610.1109/ACCESS.2019.29544558906060LFM Signal Analysis Based on Improved Lv DistributionYu Wang0https://orcid.org/0000-0001-5200-0238Ke Wang1https://orcid.org/0000-0002-8483-3047Fulong Jing2https://orcid.org/0000-0001-9830-1917Xiaoyu Lan3https://orcid.org/0000-0001-9437-0106Yan Zou4https://orcid.org/0000-0001-8698-2751Liangtian Wan5https://orcid.org/0000-0003-0574-8360College of Electronics and Information, Shenyang Aerospace University, Shenyang, ChinaNational Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou, ChinaShenyang Aircraft Design and Research Institute, Shenyang, ChinaCollege of Electronics and Information, Shenyang Aerospace University, Shenyang, ChinaShenyang Aircraft Design and Research Institute, Shenyang, ChinaSchool of Software, Dalian University of Technology, Dalian, ChinaIn this paper, we propose a parameter estimation method named improved Lv distribution (ImLVD) for linear frequency modulated (LFM) signals. In this method, based on the scaling principle, we present a two-scale estimation strategy to acquire low computational cost. The two-scale estimation strategy includes coarse estimation operation and fine estimation operation. To implement the strategy, improved scaled Fourier transform (ISFT) and Chirp-Z transform (CZT) operation are used, where the ISFT can be implemented by fast Fourier transform (FFT) and complex multiplications. By changing the frequency searching range of ISFT, the ISFT is used in different frequency ranges. To improve the anti-noise, we present an improved parameter selection criterion which can reduce the noise correlation effectively. In this paper, the implementation, anti-noise performance, and computational cost are analyzed. Through simulations and analyses, we demonstrate that the ImLVD outperforms the compared algorithms.https://ieeexplore.ieee.org/document/8906060/Linear frequency modulated (LFM) signalsparameter estimationLv distributiontwo-scale estimation strategy |
| spellingShingle | Yu Wang Ke Wang Fulong Jing Xiaoyu Lan Yan Zou Liangtian Wan LFM Signal Analysis Based on Improved Lv Distribution IEEE Access Linear frequency modulated (LFM) signals parameter estimation Lv distribution two-scale estimation strategy |
| title | LFM Signal Analysis Based on Improved Lv Distribution |
| title_full | LFM Signal Analysis Based on Improved Lv Distribution |
| title_fullStr | LFM Signal Analysis Based on Improved Lv Distribution |
| title_full_unstemmed | LFM Signal Analysis Based on Improved Lv Distribution |
| title_short | LFM Signal Analysis Based on Improved Lv Distribution |
| title_sort | lfm signal analysis based on improved lv distribution |
| topic | Linear frequency modulated (LFM) signals parameter estimation Lv distribution two-scale estimation strategy |
| url | https://ieeexplore.ieee.org/document/8906060/ |
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