A Spectrum Correction Algorithm Based on Beat Signal of FMCW Laser Ranging System
The accuracy of target distance obtained by a frequency modulated continuous wave (FMCW) laser ranging system is often affected by factors such as white Gaussian noise (WGN), spectrum leakage, and the picket fence effect. There are some traditional spectrum correction algorithms to solve the problem...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/15/5057 |
| _version_ | 1797525104778805248 |
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| author | Yi Hao Ping Song Xuanquan Wang Zhikang Pan |
| author_facet | Yi Hao Ping Song Xuanquan Wang Zhikang Pan |
| author_sort | Yi Hao |
| collection | DOAJ |
| description | The accuracy of target distance obtained by a frequency modulated continuous wave (FMCW) laser ranging system is often affected by factors such as white Gaussian noise (WGN), spectrum leakage, and the picket fence effect. There are some traditional spectrum correction algorithms to solve the problem above, but the results are unsatisfactory. In this article, a decomposition filtering-based dual-window correction (DFBDWC) algorithm is proposed to alleviate the problem caused by these factors. This algorithm reduces the influence of these factors by utilizing a decomposition filtering, dual-window in time domain and two phase values of spectral peak in the frequency domain, respectively. With the comparison of DFBDWC and these traditional algorithms in simulation and experiment on a built platform, the results show a superior performance of DFBDWC based on this platform. The maximum absolute error of target distance calculated by this algorithm is reduced from 0.7937 m of discrete Fourier transform (DFT) algorithm to 0.0407 m, which is the best among all mentioned spectrum correction algorithms. A high performance FMCW laser ranging system can be realized with the proposed algorithm, which has attractive potential in a wide scope of applications. |
| first_indexed | 2024-03-10T09:08:57Z |
| format | Article |
| id | doaj.art-35c638cbe9734c85865d6a0ed594e2ec |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T09:08:57Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-35c638cbe9734c85865d6a0ed594e2ec2023-11-22T06:09:56ZengMDPI AGSensors1424-82202021-07-012115505710.3390/s21155057A Spectrum Correction Algorithm Based on Beat Signal of FMCW Laser Ranging SystemYi Hao0Ping Song1Xuanquan Wang2Zhikang Pan3Key Laboratory of Biomimetic Robots and Systems (Ministry of Education), Beijing Institute of Technology, Beijing 100081, ChinaKey Laboratory of Biomimetic Robots and Systems (Ministry of Education), Beijing Institute of Technology, Beijing 100081, ChinaKey Laboratory of Biomimetic Robots and Systems (Ministry of Education), Beijing Institute of Technology, Beijing 100081, ChinaInstrument of Science and Technology, Beijing Information Science and Technology University, Beijing 100192, ChinaThe accuracy of target distance obtained by a frequency modulated continuous wave (FMCW) laser ranging system is often affected by factors such as white Gaussian noise (WGN), spectrum leakage, and the picket fence effect. There are some traditional spectrum correction algorithms to solve the problem above, but the results are unsatisfactory. In this article, a decomposition filtering-based dual-window correction (DFBDWC) algorithm is proposed to alleviate the problem caused by these factors. This algorithm reduces the influence of these factors by utilizing a decomposition filtering, dual-window in time domain and two phase values of spectral peak in the frequency domain, respectively. With the comparison of DFBDWC and these traditional algorithms in simulation and experiment on a built platform, the results show a superior performance of DFBDWC based on this platform. The maximum absolute error of target distance calculated by this algorithm is reduced from 0.7937 m of discrete Fourier transform (DFT) algorithm to 0.0407 m, which is the best among all mentioned spectrum correction algorithms. A high performance FMCW laser ranging system can be realized with the proposed algorithm, which has attractive potential in a wide scope of applications.https://www.mdpi.com/1424-8220/21/15/5057FMCW laser rangingspectrum correctionwhite Gaussian noisespectrum leakagepicket fence effectsignal processing |
| spellingShingle | Yi Hao Ping Song Xuanquan Wang Zhikang Pan A Spectrum Correction Algorithm Based on Beat Signal of FMCW Laser Ranging System Sensors FMCW laser ranging spectrum correction white Gaussian noise spectrum leakage picket fence effect signal processing |
| title | A Spectrum Correction Algorithm Based on Beat Signal of FMCW Laser Ranging System |
| title_full | A Spectrum Correction Algorithm Based on Beat Signal of FMCW Laser Ranging System |
| title_fullStr | A Spectrum Correction Algorithm Based on Beat Signal of FMCW Laser Ranging System |
| title_full_unstemmed | A Spectrum Correction Algorithm Based on Beat Signal of FMCW Laser Ranging System |
| title_short | A Spectrum Correction Algorithm Based on Beat Signal of FMCW Laser Ranging System |
| title_sort | spectrum correction algorithm based on beat signal of fmcw laser ranging system |
| topic | FMCW laser ranging spectrum correction white Gaussian noise spectrum leakage picket fence effect signal processing |
| url | https://www.mdpi.com/1424-8220/21/15/5057 |
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