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36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Peng, Xiaohui Hu, Fei He, Feng Wu, Liang Li, Jun Zhu, Dong Liao, Zhiqiang Qian, Cuifang Huazhong Univ Sci & Technol Sch Elect Informat & Commun Wuhan Peoples R China Natl Key Lab Sci & Technol Multispectral Informat Wuhan 430074 Peoples R China Sichuan Inst Aerosp Elect Equipment Chengdu 610100 Peoples R China

ISBN: (纸本)9781509033324

Aperture synthesis measurements, also termed complex visibilities, are the sparse samplings in the (u, v) frequency plane, which causes undesirable side lobes in the synthesized beam. Through the side lobes, artificial sources emitting in the protected 1400-1427MHz band are contaminating the retrievals of the soil moisture and ocean salinity (SMOS) satellite launched by the European Space Agency (ESA) in November 2009. An effective way to correct the artificial interferences is to create a synthetic signal as close as possible to the interference and subtract it from the measured data. Based on the same idea, in this paper, we describe an approach to compensate for the effect of interference iteratively, which uses the clean algorithm that was first developed to deconvolve a map made up of some point sources in radio astronomy. It works by finding the brightest point and then removing its contribution iteratively. Experiments based on real SMOS data have been carried out to demonstrate that the proposed algorithm is effective in correcting the influence of RFIs.

关键词： aperture synthesis radiometers (ASR) radio frequency interference (RFI) mitigation clean algorithm

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Accurate Three-Dimensional Scattering Center Extraction for ISAR Image Using the Matched Filter-Based clean algorithm

Accurate Three-Dimensional Scattering Center Extraction for ...

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21st International Symposium on Antennas and Propagation (ISAP)

作者： Yun, Dal-Jae Lee, Jae-In Bae, Ky-Ung Song, Won-Young Myung, Noh-Hoon Korea Adv Inst Sci & Technol Dept Elect Engn Daejeon South Korea

Three-dimensional (3-D) scattering center models use a finite number of point scatterers to efficiently represent complex radar target signature. Using the clean algorithm, 3-D scattering center model is extracted from the inverse synthetic aperture radar (ISAR) image, which is generated based on the shooting and bouncing ray (SBR) technique. The conventional clean extracts the strongest peak iteratively based on the assumption that the scattering centers are isolated. In a realistic target, however, both interference from the closely spaced points and additive noise distort the extraction process. This paper proposes a matched filter-based clean algorithm to improve accuracy efficiently. Using the matched filtering of which impulse response is the known point spread function (PSF), a point most correlated with the PSF is extracted. Thus, the proposed method optimally enhances the accuracy in the presence of massive distortions. Numerical simulations using canonical and realistic targets demonstrate that the extraction accuracy is improved without loss of time-efficiency compared with the existing clean algorithms.

关键词： scattering center extraction inverse synthetic aperture radar (ISAR) imaging clean algorithm matched filter point spread function

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Improved clean algorithm for RFI Mitigation of Aperture Synthesis Radiometer Images

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2022年 19卷

作者： Li, Yinan Zhang, Wenxuan Zhang, Juan Zhang, Linrang Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China

For synthetic aperture radiometer, radio frequency interference (RFI) seriously contaminates the observed data and affects the quality of the brightness temperature (BT) image. clean algorithm is usually used to mitigate the Gibbs effect generated by RFI. However, the closely distributed RFI sources cannot be well mitigated by the original clean algorithm. This letter proposes an improved adaptive clean algorithm to enhance the performance of RFI mitigation, especially the closely distributed RFI sources. The loop factor is forced to synchronize with residual BT of RFI for every iteration to avoid over mitigation. Over mitigation can result in a BT vacancy area or an extra BT point generated at the position of RFI. Soil Moisture and Ocean Salinity (SMOS) L1B real data are applied to verify the effectiveness of the improved clean algorithm. The simulation shows that the improved clean algorithm can be competent in eliminating isolated and closely distributed RFIs better than the classic clean algorithm, and the over mitigation problem is solved by the proposed method.

关键词： Microwave radiometry Receiving antennas Signal processing algorithms Histograms Antenna arrays Synchronization Microwave integrated circuits clean algorithm passive imaging radio frequency interference (RFI) synthetic aperture imaging radiometer (SAIR)

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A Novel Sidelobe Suppression Method Based on the clean algorithm for Bi-phase Codes Pulse Compression

A Novel Sidelobe Suppression Method Based on the CLEAN Algor...

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CIE International Conference on Radar (RADAR)

作者： He, Peng Chen, Baixiao Yang, Minglei Xidian Univ Natl Lab Radar Signal Proc Xian Peoples R China

ISBN: (纸本)9781509048281

In the low probability of intercept radar, the sidelobe suppression filter is extensively employed to solve the problem that weak targets are usually buried in the range sidelobes of strong targets. However, the sidelobes cannot be suppressed effectively with conventional sidelobe suppression filter. A technique of sidelobe suppression filter for bi-phase coded signal suppresses the sidelobes to expected values, but new sidelobes emerges. To deal with the above phenomenon, a new sidelobe suppression method which combines the technique of sidelobe suppression filter and the clean algorithm is proposed. The weak targets buried in the sidelobes of the strong targets can be discovered after applying the proposed method. Moreover, the new sidelobes and false targets produced in the process of sidelobe suppression can be eliminated. The distance and amplitude of each target could be estimated accurately and robustly. Finally, simulation results demonstrate that a significant improvement is achieved with the proposed method for weak targets detection.

关键词： bi-phase codes sidelobe suppression clean algorithm week targets detection

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Fault Diagnosis Way Based on clean algorithms in Squirrel Cage Induction Motors

Fault Diagnosis Way Based on CLEAN Algorithms in Squirrel Ca...

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2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

作者： Wei Yu Shi Chao Liu Zhenxing Department of Information Science & Engineering of the Wuhan university of Science and technology Wuhan 430080 Hubei Province China

ISBN: (纸本)9781424463671;9781424463688;9781424463701

Among the methods of fault diagnosis based on the current analysis for Squirrel Cage Induction Motors (SCIM), the fault characteristic components are often submerged by fundamental component and noises, especially for the broken rotor bars. The clean algorithm is a kind of relaxant data processing algorithms for additive noises and system errors. A new approach based on clean algorithms for fault diagnosis and monitoring in SCIM is proposed in this paper, the clean algorithm is used to extract the characteristic components for the fundamental one of power, and estimates the discrete-time spectrum parameter of particular fault from the continuous spectrum of the noise and mixed waves, which can eliminate the effective of power and noise and highlight the fault characteristic components. At last experimental results have demonstrated the effectiveness and advantage of the proposed technique.

关键词： squirrel cage induction motors broken rotor bar eccentricity fault diagnosis clean algorithm

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Comparative study between EMD, VMD, SAGE, clean, and ESPRIT-TLS algorithms for real-time fault bearing recognizing in induction machines.

Comparative study between EMD, VMD, SAGE, CLEAN, and ESPRIT-...

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International Conference on Decision Aid Sciences and Applications (DASA)

作者： Dore, Pascal Chakkor, Saad El Oualkadi, Ahmed ENSA Tanger LabTIC Tangier Morocco

ISBN: (纸本)9781665495011

Real-time monitoring of electromechanical faults is today at the heart of scientific research in the industrial sector. Indeed, the idea of this work is therefore to show, through a comparison based on performance indicators (precision, calculation time, occupied memory size, and convergence), which the processing algorithm of the signal is more robust in detecting the spectral characteristics of a fault using the MCSA method (Machine Current Signature Analysis). To do this, we used indicators such as NMSE to calculate the estimation errors on the estimated frequencies of the faults by these algorithms. The MATLAB simulations of the detection of a bearing fault, known by its spectral characteristics (two, four and six harmonics) and injected into a stator current signal with a variable level according to SNR, showed that the ESPRIT-TLS method exceeds the VMD, EMD, SAGE, and clean algorithms and occupies the first place in the precise discrimination of this type of fault, especially when its amplitudes are low and even when close frequencies are used.

关键词： Electromechanical faults ESPRIT-TLS algorithm clean algorithm VMD EMD SAGE algorithm Real-time monitoring MCSA method

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Deconvolution techniques for characterizing indoor UWB wireless channel

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Journal of Systems Engineering and Electronics 2008年第4期19卷 688-693页

作者： Wang Yang Zhang Naitong Zhang Qinyu Zhang Zhongzhao Communication Research Center Harbin Inst. of Technology Harbin 150001 P. R. China

A deconvolution algorithm is proposed to account for the distortions of impulse shape introduced by propagation process. By finding the best correlation of the received waveform with the multiple templates, the number of multipath components is reduced as the result of eliminating the ＂phantom paths＂, and the captured energy increases. Moreover, it needs only a single reference measurement in real measurement environment （do not need the anechoic chamber）, which by far simplifies the templates acquiring procedure.

关键词： ultra-wide band channel model clean algorithm CIR deconvolution.

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Micro-Doppler Trajectory Estimation of Pedestrians Using a Continuous-Wave Radar

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2014年第9期52卷 5807-5819页

作者： Ding, Yipeng Tang, Jingtian Cent South Univ Dept Geosci & Informat Phys Changsha 410083 Hunan Peoples R China

Radar backscattering from human objects is subject to micro-Doppler modulations because of their flexible body articulations and complicated movement patterns, which can help identify the interested targets and provide valuable information about their motion dynamics. In this paper, a novel theoretical method to extract target micro-Doppler trajectories from continuous-wave radar echo is proposed with a united application of a modified high-order ambiguity function and an adaptive denoising technology. Through this method, multiple components corresponding to different target scattering parts and their micro-Doppler trajectories can be accurately extracted and estimated even in a time-varying low signal-to-noise ratio environment. Finally, a series of simulations is conducted to illustrate the validity and performance of the proposed techniques.

关键词： Adaptive denoising clean algorithm continuous-wave (CW) radar micro-Doppler effect modified high ambiguous function

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Through-Wall Tracking of Human Movers Using Continuous-Wave Radar

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Chinese Journal of Electronics 2014年第2期23卷 334-340页

作者： DING Yipeng TANG Jingtian Cheng Dong Fang Guangyou School of Geosciences and Information Physics Central South University School of Physics and Electronics Central South University College of electrical and information engineering Hunan University Institute of Electronics Chinese Academy of Sciences

An intelligent frequency fitting algorithm is presented for continuous-wave radar to track human movers through walls. With the proper fitting dimension,which is usually determined by the practical detection requirements, this technique can improve the localization accuracy and the tracking performance without introducing too much calculation burden, and more precisely identify different targets even in the frequency ambiguous *** technology can also help to match the estimation results to their corresponding targets automatically, which is of great importance to certain urban sensing applications,such as specific target surveillance and tracking. To further improve the detection performance and better identify the weak targets in the presence of strong noise, clean algorithm and adaptive filter technology are also *** results are provided to illustrate the algorithm performance.

关键词： Continuous-wave through-wall radar(CW-TWR) Frequency ambiguous effect Frequency fitting technology clean algorithm Adaptive filt

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Subspace Rejection for Matching Pursuit in the Presence of Unresolved Targets

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2018年第8期66卷 1997-2010页

作者： Bosse, Jonathan Rabaste, Olivier Off Natl Etud & Rech Aerosp BP 80100 F-91123 Palaiseau France

Unresolved scatterers (separated by less than a 3-dB matched filter main lobe width) are known to degrade the matching pursuit performances in radar: It tends to generate spurious detection or miss weaker targets, hidden in strong sidelobes. In this paper, we propose a new matching pursuit algorithm performing a subspace radar resolution cell rejection. The philosophy is the following: As it is usually not possible to distinguish several unresolved scatterers, we do not try to distinguish them, but when a scatterer is detected, then every contribution in the corresponding resolution cell should be cleaned. For that, the continuous cell interval is approximated by a subspace and the corresponding orthogonal projector is build. The projector basis is chosen so that it minimizes the projection residue inside the interval and a method is proposed to select its dimension according to the rejected target SNR. We show that it enables to control the sidelobe level after rejection (orthogonal projection) so that the sidelobe detection probability can be maintained low. It allows matching pursuit to work well even if the target parameter distribution differs from a delta Dirac distribution inside the matched filter resolution cell.

关键词： Unresolved targets clean algorithm matching pursuit (MP) radar signal processing discrete prolate spheroidal sequences (DPSS)

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