Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation
For the low accuracy of classical spectrum estimation, the AR model method in modern parameter estimation is proposed to analyze the spectrum of electromagnetic signal. The basic principle of AR model is introduced and the Burg algorithm is simulated by Matlab. The electromagnetic signal in the real...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201823204067 |
| _version_ | 1818454688979222528 |
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| author | Zhou Ju Lei Lihua Liu Naijin |
| author_facet | Zhou Ju Lei Lihua Liu Naijin |
| author_sort | Zhou Ju |
| collection | DOAJ |
| description | For the low accuracy of classical spectrum estimation, the AR model method in modern parameter estimation is proposed to analyze the spectrum of electromagnetic signal. The basic principle of AR model is introduced and the Burg algorithm is simulated by Matlab. The electromagnetic signal in the real environment is simulated by the classical FFT method and the AR model method. Comparing the results show that the AR model is more accurate and reliable in the detection of electromagnetic signals, so modern parameter spectral estimation can be used as a method for spectrum analysis of electromagnetic signals. |
| first_indexed | 2024-12-14T21:58:52Z |
| format | Article |
| id | doaj.art-a8841164221943dd93502c5475a05648 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-14T21:58:52Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-a8841164221943dd93502c5475a056482022-12-21T22:46:03ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012320406710.1051/matecconf/201823204067matecconf_eitce2018_04067Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimationZhou Ju0Lei Lihua1Liu Naijin2QianXuesen Laboratory of Space TechnologyQianXuesen Laboratory of Space TechnologyQianXuesen Laboratory of Space TechnologyFor the low accuracy of classical spectrum estimation, the AR model method in modern parameter estimation is proposed to analyze the spectrum of electromagnetic signal. The basic principle of AR model is introduced and the Burg algorithm is simulated by Matlab. The electromagnetic signal in the real environment is simulated by the classical FFT method and the AR model method. Comparing the results show that the AR model is more accurate and reliable in the detection of electromagnetic signals, so modern parameter spectral estimation can be used as a method for spectrum analysis of electromagnetic signals.https://doi.org/10.1051/matecconf/201823204067 |
| spellingShingle | Zhou Ju Lei Lihua Liu Naijin Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation MATEC Web of Conferences |
| title | Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation |
| title_full | Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation |
| title_fullStr | Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation |
| title_full_unstemmed | Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation |
| title_short | Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation |
| title_sort | spectrum estimation of electromagnetic signal based on ar model parametric spectrum estimation |
| url | https://doi.org/10.1051/matecconf/201823204067 |
| work_keys_str_mv | AT zhouju spectrumestimationofelectromagneticsignalbasedonarmodelparametricspectrumestimation AT leilihua spectrumestimationofelectromagneticsignalbasedonarmodelparametricspectrumestimation AT liunaijin spectrumestimationofelectromagneticsignalbasedonarmodelparametricspectrumestimation |