Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured Reference
Micro-motion dynamics produce Micro-range (m-R) signatures which are important features for target classification and recognition, provided that the range resolution of radar signal is high enough. However, dechirping the echo with reference measured by narrow bandwidth radar would generate the resi...
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MDPI AG
2018-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/9/2773 |
| _version_ | 1798039169098842112 |
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| author | Yu Xing Peng You Shaowei Yong |
| author_facet | Yu Xing Peng You Shaowei Yong |
| author_sort | Yu Xing |
| collection | DOAJ |
| description | Micro-motion dynamics produce Micro-range (m-R) signatures which are important features for target classification and recognition, provided that the range resolution of radar signal is high enough. However, dechirping the echo with reference measured by narrow bandwidth radar would generate the residual translational motion, which exhibits as random shifts of envelopes of range profiles. The residual translational motion would destroy the periodicity of m-R signatures and make a challenge to estimate rotational parameter. In this work, we proposed an efficient high-resolution range profile (HRRP)-based method to estimate rotational parameter, in which online measured reference distances are used to dechirp the radar raw echo. Firstly, the deduction for the modified first conditional comment of range profiles (MFCMRP) is introduced in detail, and the MFCMRP contain periodic and random components when dechirped by measured reference, corresponding to the rotational motion and the reference measured errors compared with actual reference. Secondly, the Wavelet Transform (WT) is utilized to separate the measured errors from the MFCMRP. The estimations of measured errors are used to compensate the MFCMRP, and then autocorrelation is performed on the estimated periodic component to obtain the estimation of rotational period. Lastly, the rotational amplitudes and phases are achieved by inverse Radon transform (IRT) of the compensated HRRP. The effectiveness of the proposed method in this paper is verified by synthetic data and measured radar data. |
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| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:50:11Z |
| publishDate | 2018-08-01 |
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| spelling | doaj.art-25cd5b7931c24a76b6140eb82bd5749c2022-12-22T04:01:15ZengMDPI AGSensors1424-82202018-08-01189277310.3390/s18092773s18092773Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured ReferenceYu Xing0Peng You1Shaowei Yong2Department of Electronic Science, National University of Defense Technology, Changsha 410000, Hunan, ChinaDepartment of Electronic Science, National University of Defense Technology, Changsha 410000, Hunan, ChinaDepartment of Electronic Science, National University of Defense Technology, Changsha 410000, Hunan, ChinaMicro-motion dynamics produce Micro-range (m-R) signatures which are important features for target classification and recognition, provided that the range resolution of radar signal is high enough. However, dechirping the echo with reference measured by narrow bandwidth radar would generate the residual translational motion, which exhibits as random shifts of envelopes of range profiles. The residual translational motion would destroy the periodicity of m-R signatures and make a challenge to estimate rotational parameter. In this work, we proposed an efficient high-resolution range profile (HRRP)-based method to estimate rotational parameter, in which online measured reference distances are used to dechirp the radar raw echo. Firstly, the deduction for the modified first conditional comment of range profiles (MFCMRP) is introduced in detail, and the MFCMRP contain periodic and random components when dechirped by measured reference, corresponding to the rotational motion and the reference measured errors compared with actual reference. Secondly, the Wavelet Transform (WT) is utilized to separate the measured errors from the MFCMRP. The estimations of measured errors are used to compensate the MFCMRP, and then autocorrelation is performed on the estimated periodic component to obtain the estimation of rotational period. Lastly, the rotational amplitudes and phases are achieved by inverse Radon transform (IRT) of the compensated HRRP. The effectiveness of the proposed method in this paper is verified by synthetic data and measured radar data.http://www.mdpi.com/1424-8220/18/9/2773rotational motiontranslational motionHRRPWave Transformparameter estimation |
| spellingShingle | Yu Xing Peng You Shaowei Yong Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured Reference Sensors rotational motion translational motion HRRP Wave Transform parameter estimation |
| title | Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured Reference |
| title_full | Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured Reference |
| title_fullStr | Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured Reference |
| title_full_unstemmed | Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured Reference |
| title_short | Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured Reference |
| title_sort | parameter estimation of micro motion targets for high resolution range radar using online measured reference |
| topic | rotational motion translational motion HRRP Wave Transform parameter estimation |
| url | http://www.mdpi.com/1424-8220/18/9/2773 |
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