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International Conference on Communications, Devices and Intelligent Systems (COOlS)

作者： Sur, Samarendra Nath Bera, Soumyasree Singh, Arun Kumar Bera, Rabindranath Sikkim Manipal Inst Technol Dept Elect & Commun Engn Rangpo Sikkim India

ISBN: (纸本)9781467346986

RADAR images of contiguous targets often suffer from side lobe enhancement due to environmental effect. This leads to false alarm in target detection and also degradation in image quality. In this paper, the clean algorithms are introduced to eliminate side lobe enhancement and significantly improve the target detection performance and image quality. The effectiveness of the clean algorithms is demonstrated through the results. And also the hardware results show how excellent performance can be attained by combining the correlator, clean Deconvolver.

关键词： RADAR ISAR clean algorithm Range Correlation

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Into the ultrasound deconvolution using clean algorithm - statistical analysis of scatters detection

Into the ultrasound deconvolution using CLEAN algorithm - st...

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10th International Symposium on Electronics and Telecommunications (ISETC)

作者： Chira, Liviu-Teodor Girault, Jean-Marc Rusu, Corneliu Tech Univ Cluj Napoca Fac Elect Telecommun & Informat Technol Cluj Napoca Romania Univ Tours Francois Rabelais Tours 32000 France Francois Rabelais Univ Tours Imgerie & Cerveau F-32000 Tours France

ISBN: (纸本)9781467311762

The quality of the reproduced tissues in the ultrasound medical imaging is reduced by the imperfections in tissues and the finite frequency bandwidth and pulse width of the ultrasound transducer. Constrained by these constructive limitations, for improvement of details in the final image, the post processing methods are usually applied. In this paper we present a two step 1D blind deconvolution method based on the well known time domain clean algorithm. In the first step the Point Spread Function is estimated and secondly, we use this estimation to extract the reflectivity function of the tissues. The simulations was oriented to evaluate statistically the method according to the percentage of real detection of scatters, the number of false alarms - which represent the quantity of the artefacts in the final result and the means square error. Also, the algorithm is compared with the classical Tikhonov regularization in term of above presented criteria and mean square error (MSE) - a global estimator between reflectors position and their amplitude.

关键词： ultrasound deconvolution statistical evaluation clean algorithm Tikhonov Regularization

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Multipath Mitigation in Calibration Range Estimation algorithm

Multipath Mitigation in Calibration Range Estimation Algorit...

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IEEE Radar Conference (RadarConf)

作者： Ho, M. T. Krichene, H. A. Ricciardi, G. F. Geckle, W. J. Johns Hopkins Univ Appl Phys Lab 11100 Johns Hopkins Rd Laurel MD 20723 USA

ISBN: (纸本)9781467388238

Range splitting algorithms are used in radar signal processing to accurately estimate the range of a detected target by "splitting" the range bin and estimating where within the range bin the target is located. One particular algorithm, calibration range estimation (CRE), calibrates the response in the mainlobe of the matched filter to incremental delays and then accurately estimates the target's range from the received signal by linear interpolation of the calibration curve. The CRE algorithm is computationally efficient and empirically proven to achieve the Cramer-Rao lower bound (CRLB) in the presence of a single scatterer. However, CRE is not inherently immune to the multipath phenomenon and its performance degrades when the received signal is corrupted by a multipath reflection. In this paper we investigate the effects of multipath on the performance of the CRE algorithm and determine how much its performance deviates from the CRLB in the presence of multipath. Moreover, we provide a solution to the multipath problem by using the clean algorithm to remove the multipath signal and return the performance of CRE closer to the CRLB.

关键词： Calibration range estimation (CRE) clean algorithm correlator multipath time-delay estimation

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Precise Scattering Center Extraction for ISAR Image using the Shooting and Bouncing Ray 21

Precise Scattering Center Extraction for ISAR Image using th...

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21st International Symposium on Antennas and Propagation (ISAP)

作者： Yun, Dal-Jae Lee, Jae-In Bae, Ky-Ung Myung, Noh-Hoon Korea Adv Inst Sci & Technol Dept Elect Engn Guseong Dong Daejeon 305701 South Korea

ISBN: (纸本)9784885523137

In this paper, improvement in accuracy of scattering center extraction for inverse synthetic aperture radar (ISAR) image is presented in order to facilitate precise signature prediction. The original clean, which is typically used to compute scattering center model from ISAR image formation using the shooting and bouncing ray (SBR) technique, is based on the assumption;effect from noise interference is negligible. However, the assumption is limited in practical case. Thus, the point spread function (PSF) correlation technique is applied for the 2D ISAR image formation to improve accuracy. By extracting subsequent scattering centers using cross correlation between the PSF and residual image, point source location error from additive noise is highly mitigated. The proposed 2D clean is demonstrated for ideal point target and practical 3D CAD models through comparisons of the reconstructed image.

关键词： Inverse synthetic aperture radar Imaging techniques Scattering center extraction clean algorithm

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Precise Scattering Center Extraction for ISAR Image using the Shooting and Bouncing Ray

Precise Scattering Center Extraction for ISAR Image using th...

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International Symposium on Antennas and Propagation

作者： Dal-Jae Yun Jae-In Lee Ky-Ung Bae Noh-Hoon Myung Department of Electrical Engineering KAIST Guseong-dong Yuseong-gu Daejeon 305-701 Korea

ISBN: (纸本)9781467379601

关键词： Inverse synthetic aperture radar Imaging techniques Scattering center extraction clean algorithm

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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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Suppressing masking effect in random signal radars by waveform design

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IET RADAR SONAR AND NAVIGATION 2012年第3期6卷 137-148页

作者： Haghshenas, H. Nayebi, M. M. Sharif Univ Technol Dept Elect Engn Tehran Iran

In noise radars, measuring the cross-correlation between transmitted and received signals is a common method of signal processing. However, it brings a lot of unwelcome sidelobes that can mask weak echoes of far targets. There are many classical and modern methods of masking effect removal which are based on signal processing in the receiver side. In this study, a method of waveform design is presented and its ability to reduce masking effect is compared with that of radars using purely random waveforms. The method starts with choosing an arbitrary subsequence and continues with attaching new subsequences to the previous ones in a way that the sidelobe levels reduce. In addition, the performance of applying the well-known clean algorithm to a purely random waveform and the presented waveform are considered in detail. Moreover, the waveform randomness is measured and compared with purely random waveforms. By means of computer simulations, it is illustrated that the proposed waveforms can produce smaller correlation sidelobes, while preserving their randomness characteristics.

关键词： waveform analysis radar signal processing Electromagnetic compatibility and interference randomness characteristics clean algorithm computer simulation weak echoes Signal processing and detection masking effect suppression echo suppression Radar equipment, systems and applications received signal transmitted signal unwelcome sidelobe waveform design Mathematical analysis random signal radar signal processing correlation theory noise radar

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Compressed Sensing ImagingWith the KAT-7 Array

Compressed Sensing ImagingWith the KAT-7 Array

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International Conference on Electromagnetics in Advanced Applications

作者： Ludwig C. Schwardt SKA South Africa Third Floor The Park Park Road Pinelands 7405 South Africa

ISBN: (纸本)9781467303330

Compressed sensing (CS) provides the theory behind the clean deconvolution step found in aperture synthesis imaging in radio astronomy and suggests many new algorithms for it. A few CS algorithms, including greedy methods such as Orthogonal Matching Pursuit (OMP) and convex relaxation methods based on Basis Pursuit (BP), are evaluated on a small dataset produced by the KAT-7 array. The new algorithms outperform a standard clean algorithm on this snapshot imaging task.

关键词： clean deconvolution Pursuit (OMP) clean algorithm

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Evolutionary programming clean algorithm for UWB localization images of contiguous targets

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The Journal of China Universities of Posts and Telecommunications 2007年第2期14卷 79-83页

作者： XU Yong LU Ying-hua School of Telecommunication and Network Technology Beijing University of Posts and Telecommunications Beijing 100876 China

In this article, a novel scattering center extraction method using genetic algorithm is proposed to deal with the ultra-wideband （UWB） localization image, which is called evolutionary programming （EP） clean algorithm. Because of the UWB characters, the ideal point scattering model and EP method are used in the algorithm for optimizing the UWB localization images. After introducing the algorithm detail, the actual model is used to realize the EP clean algorithm. Compared with the conventional localization imaging algorithm, this algorithm has advantages fitting the UWB characters such as accuracy, robustness, and better resolution, which are verified by the numerical simulations. Therefore the EP clean algorithm could improve localization image performance to expand the UWB technique application.

关键词： UWB localization evolutionary programming clean algorithm

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