摘要 :
In Inverse Synthetic Aperture Radar (ISAR) imaging, the micro-Doppler (m-D) effect caused by micro-motion parts of the target will not only make parameter extraction and motion compensation difficult but also cause image defocusin...
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In Inverse Synthetic Aperture Radar (ISAR) imaging, the micro-Doppler (m-D) effect caused by micro-motion parts of the target will not only make parameter extraction and motion compensation difficult but also cause image defocusing. It will appear as azimuth interference sidebands and decrease image quality seriously. Therefore, studying the micro-Doppler suppression problem in practical applications is of great importance in high-quality imaging of ISAR. In this paper, a reasonable and effective mathematical model is established, and the m-D suppression algorithm inspired by the robust principal component analysis (RPCA) matrix reconstruction theory is proposed. Our algorithm transforms the problem of separating radar echoes into the decomposition of a low rank rotating components m-D signal matrix and a sparse main body ISAR image signal matrix. Moreover, experimental results based on simulated and real measured data are utilized to verify the effectiveness of our method.
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摘要 :
In Inverse Synthetic Aperture Radar (ISAR) imaging, the micro-Doppler (m-D) effect caused by micro-motion parts of the target will not only make parameter extraction and motion compensation difficult but also cause image defocusin...
展开
In Inverse Synthetic Aperture Radar (ISAR) imaging, the micro-Doppler (m-D) effect caused by micro-motion parts of the target will not only make parameter extraction and motion compensation difficult but also cause image defocusing. It will appear as azimuth interference sidebands and decrease image quality seriously. Therefore, studying the micro-Doppler suppression problem in practical applications is of great importance in high-quality imaging of ISAR. In this paper, a reasonable and effective mathematical model is established, and the m-D suppression algorithm inspired by the robust principal component analysis (RPCA) matrix reconstruction theory is proposed. Our algorithm transforms the problem of separating radar echoes into the decomposition of a low rank rotating components m-D signal matrix and a sparse main body ISAR image signal matrix. Moreover, experimental results based on simulated and real measured data are utilized to verify the effectiveness of our method.
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摘要 :
Synthetic aperture radar(SAR) imaging for ground moving targets has important applications both in military and civil areas. Range cell migration (RCM) occurs after range compression and needs to be corrected before azimuth proces...
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Synthetic aperture radar(SAR) imaging for ground moving targets has important applications both in military and civil areas. Range cell migration (RCM) occurs after range compression and needs to be corrected before azimuth processing. Due to the difficulty of range cell migration correction (RCMC) in SAR, a corresponding correction method based on envelope correlation method (ECM) is proposed. the phenomenon of RCM is introduced for SAR imaging of stationary and moving targets in strip-map mode, then, RCM results are deduced, next, RCMC algorithm based on ECM are elaborated and illustrated, Finally, simulation results are given and analyzed, which validates feasibility and effectiveness of the ECM algorithm, the ECM only requires basic cross-correlation operation and has equivalent precision.
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摘要 :
To solve the problem of cross-range scaling of noncooperative target ISAR imaging, a corresponding analysis method is proposed based on phase frequency modulation parameter estimation. Doppler expression of the echo is deduced and...
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To solve the problem of cross-range scaling of noncooperative target ISAR imaging, a corresponding analysis method is proposed based on phase frequency modulation parameter estimation. Doppler expression of the echo is deduced and the demodulation frequency method is used to estimate the parameters of the LFM signal, and then estimation of the frequency response of the echo signal in the longitudinal distance unit can be obtained. Finally, the slope of the echo signal is calculated by linear fitting. The radar echo data can be calculated to obtain the imaging target rotation speed of the estimated value. Simulation results compared with other classic methods confirm the feasibility and timeliness of the algorithm.
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摘要 :
Synthetic aperture radar(SAR) imaging for ground moving targets has important applications both in military and civil areas. Range cell migration (RCM) occurs after range compression and needs to be corrected before azimuth proces...
展开
Synthetic aperture radar(SAR) imaging for ground moving targets has important applications both in military and civil areas. Range cell migration (RCM) occurs after range compression and needs to be corrected before azimuth processing. Due to the difficulty of range cell migration correction (RCMC) in SAR, a corresponding correction method based on envelope correlation method (ECM) is proposed. the phenomenon of RCM is introduced for SAR imaging of stationary and moving targets in strip-map mode, then, RCM results are deduced, next, RCMC algorithm based on ECM are elaborated and illustrated, Finally, simulation results are given and analyzed, which validates feasibility and effectiveness of the ECM algorithm, the ECM only requires basic cross-correlation operation and has equivalent precision.
收起
摘要 :
To solve the problem of cross-range scaling of noncooperative target ISAR imaging, a corresponding analysis method is proposed based on phase frequency modulation parameter estimation. Doppler expression of the echo is deduced and...
展开
To solve the problem of cross-range scaling of noncooperative target ISAR imaging, a corresponding analysis method is proposed based on phase frequency modulation parameter estimation. Doppler expression of the echo is deduced and the demodulation frequency method is used to estimate the parameters of the LFM signal, and then estimation of the frequency response of the echo signal in the longitudinal distance unit can be obtained. Finally, the slope of the echo signal is calculated by linear fitting. The radar echo data can be calculated to obtain the imaging target rotation speed of the estimated value. Simulation results compared with other classic methods confirm the feasibility and timeliness of the algorithm.
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摘要 :
To solve the problem of cross-range scaling of non-cooperative target ISAR imaging, a corresponding analysis method is proposed based on echo phase polynomial and intrinsic mode components, to inhibit the endpoint effect in the em...
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To solve the problem of cross-range scaling of non-cooperative target ISAR imaging, a corresponding analysis method is proposed based on echo phase polynomial and intrinsic mode components, to inhibit the endpoint effect in the empirical mode decomposition process. Rotation parameters of the target are obtained through instantaneous frequency analysis and the aspect angle during the imaging period is calculated to get the cross-range resolution of the target. Based on the principle of ISAR imaging, the instantaneous Doppler expression of the echo is deduced and a kind of empirical mode decomposition endpoint estimation method is brought forward. Combined with the third order PPS estimation of change rate of the echo's instantaneous frequency, the simulation results confirm the feasibility of the algorithm.
收起
摘要 :
To solve the problem of cross-range scaling of non-cooperative target ISAR imaging, a corresponding analysis method is proposed based on echo phase polynomial and intrinsic mode components, to inhibit the endpoint effect in the em...
展开
To solve the problem of cross-range scaling of non-cooperative target ISAR imaging, a corresponding analysis method is proposed based on echo phase polynomial and intrinsic mode components, to inhibit the endpoint effect in the empirical mode decomposition process. Rotation parameters of the target are obtained through instantaneous frequency analysis and the aspect angle during the imaging period is calculated to get the cross-range resolution of the target. Based on the principle of ISAR imaging, the instantaneous Doppler expression of the echo is deduced and a kind of empirical mode decomposition endpoint estimation method is brought forward. Combined with the third order PPS estimation of change rate of the echo's instantaneous frequency, the simulation results confirm the feasibility of the algorithm.
收起
摘要 :
To solve the problem of cross-range scaling of non-cooperative target ISAR imaging, a corresponding analysis method is proposed based on phase frequency modulation parameter estimation. Doppler expression of the echo is deduced an...
展开
To solve the problem of cross-range scaling of non-cooperative target ISAR imaging, a corresponding analysis method is proposed based on phase frequency modulation parameter estimation. Doppler expression of the echo is deduced and the demodulation frequency method is used to estimate the parameters of the LFM signal, and then estimation of the frequency response of the echo signal in the longitudinal distance unit can be obtained. Finally, the slope of the echo signal is calculated by linear fitting. The radar echo data can be calculated to obtain the imaging target rotation speed of the estimated value. Simulation results compared with other classic methods confirm the feasibility and timeliness of the algorithm.
收起
摘要 :
To solve the problem of cross-range scaling of non-cooperative target ISAR imaging, a corresponding analysis method is proposed based on echo phase polynomial and intrinsic mode components, to inhibit the endpoint effect in the em...
展开
To solve the problem of cross-range scaling of non-cooperative target ISAR imaging, a corresponding analysis method is proposed based on echo phase polynomial and intrinsic mode components, to inhibit the endpoint effect in the empirical mode decomposition process Rotation parameters of the target are obtained through instantaneous frequency analysis and the aspect angle during the imaging period is calculated to get the cross-range resolution of the target. Based on the principle of ISAR imaging, the instantaneous Doppler expression of the echo is deduced and a kind of empirical mode decomposition endpoint estimation method is brought forward. Combined with the third order PPS estimation of change rate of the echo's instantaneous frequency, the simulation results confirm the feasibility of the algorithm.
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