检索结果-内蒙古大学图书馆

Sidelobe Suppression Method with Improved clean algorithm for Pulse Compression OTDR

IEEE PHOTONICS TECHNOLOGY LETTERS 2024年第22期36卷 1321-1324页

作者： Huang, Yi Chen, Xiaofeng Shen, Wei Wei, Ziyi Hu, Chengyong Deng, Chuanlu Wang, Lisen Zhang, Qi Chen, Wei Zhang, Xiaobei Chen, Lin Jin, Wei Tang, Jianming Wang, Tingyun Shanghai Univ Key Lab Specialty Fiber Opt & Opt Access Networks Shanghai 200444 Peoples R China Shanghai Univ Elect Power Coll Elect & Informat Engn Shanghai 200090 Peoples R China Bangor Univ Sch Elect Engn Bangor LL57 1UT Wales

Although pulse compression optical time domain reflectometry (PC-OTDR) exhibits high performance in spatial resolution and dynamic range, it inevitably introduces auto-correlation sidelobes, potentially impacting measurement accuracy. In this letter, an improved clean algorithm is proposed to efficiently suppress sidelobes and enhance the peak-to-sidelobe ratio (PSLR) of signals in PC-OTDR. The proposed method introduces an adaptive step factor instead of the traditional fixed factor to reduce the number of iterations. Compared to the traditional method, the proposed method achieves a 2.87 dB improvement of PSLR from a 10 km sensing fiber. In addition, the computation time cost is significantly reduced, which is 1.92 s less than that of the traditional clean algorithm.

关键词： Encoding Optical fibers Spatial resolution Signal to noise ratio Perturbation methods Optical filters Filtering Pulse compression optical time domain reflectometry (PC-OTDR) phase coding clean algorithm sidelobe suppression

来源：评论

学校读者我要写书评

暂无评论

Millimeter-Wave Radio Channel Characterization Using Multi-Dimensional Sub-Grid clean algorithm

引用

IEICE TRANSACTIONS ON COMMUNICATIONS 2020年第7期E103B卷 767-779页

作者： Kim, Minseok Iwata, Tatsuki Sasaki, Shigenobu Takada, Jun-ichi Niigata Univ Grad Sch Sci & Technol Niigata 9502181 Japan Tokyo Inst Technol Sch Environm & Soc Tokyo 1528550 Japan SoftBank Corp Tokyo Japan

In radio channel measurements and modeling, directional scanning via highly directive antennas is the most popular method to obtain angular channel characteristics to develop and evaluate advanced wireless systems for high frequency band use. However, it is often insufficient for ray-/cluster-level characterizations because the angular resolution of the measured data is limited by the angular sampling interval over a given scanning angle range and antenna half power beamwidth. This study proposes the sub-grid clean algorithm, a novel technique for high-resolution multipath component (MPC) extraction from the multi-dimensional power image, so called double-directional angular delay power spectrum. This technique can successfully extract the MPCs by using the multi-dimensional power image. Simulation and measurements showed that the proposed technique could extract MPCs for ray-/cluster-level characterizations and channel modeling. Further, applying the proposed method to the data captured at 58 :5 GHz in an atrium entrance hall environment which is an indoor hotspot access scenario in the fifth generation mobile system, the multipath clusters and corresponding scattering processes were identified.

关键词： channel sounding millimeter wave directional scanning clean algorithm parameter estimation polarization indoor channel

来源：评论

学校读者我要写书评

暂无评论

Pseudo-Random Coding Side-Lobe Suppression Method Based on clean algorithm

引用

Journal of Beijing Institute of Technology 2017年第3期26卷 375-380页

作者： Liyu Tian Lianjuan Zhang Jiaying Li School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China

A pseudo-random coding side-lobe suppression method based on clean algorithm is *** clean algorithm mainly processes pulse compression results of a pseudo-random coding,and estimates a target＇s distance by a method named interpolation method,so that we can get an ideal pulse compression result of the target,and then use the adjusted ideal pulse compression side-lobe to cut the actual pulse compression result,so as to achieve the remarkable performance of side-lobe suppression for large targets,and let the adjacent small targets *** computer simulations by MATLAB with this method analyze the effect of side-lobe suppression in an ideal or noisy *** is proved that this method can effectively solve the problem due to the side-lobe of pseudo-random coding being too high,and can enhance the radar＇s multi-target detection ability.

关键词： clean algorithm pseudo-random coding pulse compression interpolation method

来源：评论

学校读者我要写书评

暂无评论

Evolutionary programming clean algorithm for UWB localization images of contiguous targets

引用

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

来源：评论

学校读者我要写书评

暂无评论

Direct Wave Suppression based on an Improved clean algorithm

Direct Wave Suppression based on an Improved CLEAN Algorithm

引用

CIE International Conference on Radar (RADAR)

作者： Lin, Chunhan Xu, Chengfa Ai, Zhanyang Beijing Inst Technol Sch Informat & Elect Beijing Peoples R China

ISBN: (纸本)9781509048281

The direct wave has a serious impact on the target detection performance of bistatic continuous wave radar system. The conventional direct wave suppression algorithm is LMS algorithm, but it is difficult to be applied in Graphic Processing Unit (GPU) due to the large number of iterations. clean algorithm is a direct wave suppression algorithm which is suitable for GPU, whereas the basic clean algorithm cannot adapt to the time-variation of direct wave. In this paper, the basic clean algorithm has been improved to get better performance when the characteristic of direct wave is varied with the time. The correctness and effectiveness of the improved algorithm is verified by the simulation results and testing data analysis.

关键词： Direct wave suppression clean algorithm Segmentation Bistatic GPU

来源：评论

学校读者我要写书评

暂无评论

Research for Enhancing Weak Multi-Target's Tracks Based on Radon-clean algorithm 3

Research for Enhancing Weak Multi-Target's Tracks Based on R...

引用

3rd IEEE International Conference on Image, Vision and Computing (ICIVC)

作者： Wang, Jun Jiao, Junsheng Hangzhou Appl Acoust Res Inst Natl Key Lab Sci & Technol Sonar Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781538649916

Due to the complexity of oceanic channel, the bearing-time record of weak targets in passive sonar is vague and difficult to observe effectively. In this paper, an algorithm of enhancing multi-Target's Tracks based on Radon transform and clean algorithm is proposed. Radon-clean The algorithm detects the peaks in the Radon transform domain one by one until all the peaks in the image are detected and then the inverse Radon transform is used to obtain an enhanced tracks, so this algorithm has strong noise suppression capability, the algorithm of direct threshold filtering in the Radon transform domain has the defect that if the threshold is chosen to be larger, the weaker target tracks will be filtered out, if the threshold is chosen to be smaller, a large amount of noise will be introduced. Algebraic Radon transform using FFT and matrix operations to overcome the large amount of computational back-projection Radon transform is conducive to real-time implementation of the sonar system. The results of simulation and the sea trial data show that this algorithm can enhance the tracks of multiple weak targets in the low signal-to-noise ratio bearing-time record which has strong interference.

关键词： radon transform clean algorithm bearing-time record weak multi-target's tracks enhance strong interference

来源：评论

学校读者我要写书评

暂无评论

Improvement in Target Detection and Image Formation for ISAR System Using clean algorithm

Improvement in Target Detection and Image Formation for ISAR...

引用

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

来源：评论

学校读者我要写书评

暂无评论

DTTV Localization with Fingerprinting Technique and clean algorithm Based on Measurement Data

引用

Journal of Mobile Multimedia 2022年第3期18卷 821-844页

作者： Promwong, Sathaporn Suwansukho, Nattapan School of Engineering King Mongkut’s Institute of Technology Ladkrabang Ladkrabang Bangkok 10520 Thailand

Digital terrestrial television (DTTV) technology has been developed and used to broadcast the television program. A numerous applications have been developed for the additional feature used with DTTV. One of these features that can be used which is the localization system with DTTV broadcasting. The advantage of DVB-T2 broadcasting channel for localization technology which very wide coverage area that covered whether outdoor and indoor environment. In the present there are divers methodologies to locate the position of an object or user such as the Global Positioning System (GPS), Cellular Positioning System (CPS) and Wi-Fi Positioning System (WPS). Nowadays there are various application that used for monitoring and controlling such as a water level sensor system, a traffic control system, an intrusion monitoring system etc. that consists of the localization system. The received data can’t be useful without the accuracy location. The mentioned foregoing system still have a limitation in some environment such as the GPS signal is not accessible to some environments, the CPS signal is based on a cell phone tower and the WPS is based on Wi-Fi hotspot. Therefore, the accuracy of localization is decreased. In order to overcome the foregoing limitation of these three systems the complementary remedy the poor coverage is required. The objective of this research is to improve the DVB-T2 propagation channel by a clean algorithm to eliminate the noise propagation channel for an accuracy of localization system. This technique is very useful for localization analysis in DTTV technology. The distinctive advantage of the DTTV localization is the wide coverage of signal whether an indoor or outdoor environment. Moreover, when the clean algorithm has been used the noise in propagation channel has been eliminated lead to the accuracy of location receive. © 2022 River Publishers.

关键词： clean algorithm DTTV DTTV localization measurement DVB-T2 Fingerprinting technique

来源：评论

学校读者我要写书评

暂无评论

An Improved clean algorithm for ISAR

An Improved CLEAN Algorithm for ISAR

引用

IEEE Radar Conference (RadarConf)

作者： Tri-Tan Cao Rosenberg, Luke Def Sci & Technol Grp Adelaide SA Australia

ISBN: (纸本)9781728153681

The clean algorithm is a popular signal processing technique used to extract point scatterers from a radar image of a target and produce a deconvolved or point-cloud representation. In this paper, a new clean algorithm is proposed using the target's high-resolution range profile. When applied to a 3D temporal interferometric inverse synthetic aperture radar (InISAR) image formation algorithm, considerable improvement is observed when compared to the standard approach. This results in better estimates of the length, width and height of the target, which will improve the accuracy in subsequent target classification.

关键词： clean algorithm Inverse Synthetic Aperture Radar (ISAR) 3D-ISAR Interferometric ISAR (InISAR)

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：