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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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A Framework for Developing and Evaluating algorithms for Estimating Multipath Propagation Parameters From Channel Sounder Measurements

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2024年第5期23卷 4424-4441页

作者： Sayeed, Akbar M. Guven, Damla Doebereiner, Michael Semper, Sebastian Gentile, Camillo Bodi, Anuraag Cheng, Zihang NIST Radio Access & Propagat Metrol Grp Gaithersburg MD 20899 USA Tech Univ Ilmenau TU Ilmenau Dept Elect Engn & Informat Technol D-98693 Ilmenau Germany NIST Radio Access & Propagat Metrol Grp Gaithersburg MD 20899 USA Prometheus Comp Cullowhee NC 28723 USA Univ Southern Calif Dept Elect & Comp Engn Los Angeles CA 90089 USA

A framework is proposed for developing and evaluating algorithms for extracting multipath propagation components (MPCs) from measurements collected by channel sounders at millimeter-wave frequencies. Sounders equipped with an omni-directional transmitter and a receiver with a uniform planar array (UPA) are considered. An accurate mathematical model is developed for the spatial frequency response of the sounder that incorporates the non-ideal cross-polar beampatterns for the UPA elements. Due to the limited Field-of-View (FoV) of each element, the model is extended to accommodate multi-FoV measurements in distinct azimuth directions. A beamspace representation of the spatial frequency response is leveraged to develop three progressively complex algorithms aimed at solving the single-snapshot maximum likelihood estimation problem: greedy matching pursuit (clean), space-alternative generalized expectation-maximization (SAGE), and RiMAX. The first two are based on purely specular MPCs whereas RiMAX also accommodates diffuse MPCs. Two approaches for performance evaluation are proposed, one with knowledge of ground truth parameters, and one based on reconstruction mean-squared error. The three algorithms are compared through a demanding channel model with hundreds of MPCs and through real measurements. The results demonstrate that clean gives quite reasonable estimates which are improved by SAGE and RiMAX. Lessons learned and directions for future research are discussed.

关键词： Mathematical models Antenna measurements Frequency measurement Estimation NIST Data models Wireless communication Antenna arrays antenna radiation patterns beamspace processing clean algorithm high-resolution algorithms maximum likelihood (ML) estimation millimeter-wave (mmWave) measurements multidimensional signal processing multipath propagation channel models parameter estimation RiMAX algorithm space-alternative generalized expectation-maximization (SAGE) 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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Measurement and Investigation of HB-UWB Transmission Link for BAN System

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Journal of Mobile Multimedia 2023年第6期19卷 1463-1480页

作者： Sanguanpuak, Chanidaphar Promwong, Sathaporn Bunlaksananusorn, Chanin School of Engineering King Mongkut’s Institute of Technology Ladkrabang Ladkrabang Bangkok 10520 Thailand

The short-range wireless multimedia is consider used a ultra wideband (UWB) technology for human body mobile and multimedia applications shows promise for wireless multi-media systems. Based on IEEE 802.15.6, wireless body area networks (BAN) require understanding the human body’s effects on channel characteristics. This paper presents how to evaluation of human body ulra-wideband (HB-UWB) transmission with line-of-sight and non-line-of-sight scenario. Our research aims to enhance HB-UWB channel propagation on the body media by employing with clean algorithm to eliminate noise. This research leverage findings from previous studies to facilitate performance comparison. Furthermore, for analyze system performance using the clean algorithm at different body positions. The measurement setup covers band the FCC regulated from 3.0 GHz to 11 GHz. It includes the tested with wideband antenna and vector network analyzer (VNA). HB-UWB characteristics are shows in the path loss and power delay profile are discussed as relevant parameters. This research very useful for design and evaluation of human body mobile network and wireless multimedia systems. © 2023 River Publishers.

关键词： clean algorithm HB-UWB UWB WBAN wireless multimedia system

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Device-Free Localization Using Millimeter-Wave Double-Directional Channel Sounding Measurements 16

Device-Free Localization Using Millimeter-Wave Double-Direct...

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16th European Conference on Antennas and Propagation (EuCAP)

作者： Kim, Minseok Miyake, Yuto Ikegami, Togo Tsukada, Hibiki Kumakura, Keiichiro Niigata Univ Grad Sch Sci & Technol Niigata Japan

ISBN: (纸本)9788831299046

The authors have developed the Multipath-RTI (radio tomographic imaging) technique based on millimeter-wave (mm-wave) radios such as 5G mobile and WiGig LAN systems. Mm-wave radios can realize a highly accurate device-free localization (DFL) for smart home/smart building applications by utilizing the features that mm-wave radios usually have high delay and angle resolution, and thus is capable of separating the multi-path components (MPCs). The Multipath-RTI can drastically reduce the number of sensor nodes by using the virtual nodes created by multipaths. However, there are technical challenges to handle the multipaths and corresponding pathways. This paper proposed a practical data processing scheme for Multipath-RTI and presented some actual imaging results for DFL using double-directional channel sounding measurements.

关键词： radio tomographic imaging RTI channel sounding millimeter wave multipath clean algorithm

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Acceleration of RCS Near-Field to Far-Field Transformation Based on GPU Parallel Computation

Acceleration of RCS Near-Field to Far-Field Transformation B...

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2022 Conference on Antenna Measurements and Applications

作者： Zhao, Peng Hu, Weidong Liu, Yang Beijing Inst Technol Beijing Key Lab Millimeter Wave & Terahertz Tech Beijing Peoples R China

ISBN: (纸本)9781665490375

The traditional image-based RCS near-field to far-field transformation has the disadvantage of long processing time. This paper proposes a RCS near-field to far-field transformation based on the extraction of scattering centers, which is accelerated by GPU parallel computing. The scattering center extraction method is clean algorithm. By introducing GPU acceleration technology in image processing, the method improves the processing speed by more than 6 times. At the same time, compared with the traditional image-based RCS near-field to far-field transformation, the RCS transformation accuracy is improved by more than 3 times. Results verify the correctness and effectiveness of this method.

关键词： RCS near-field to far-field transformation GPU parallel computing clean algorithm

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A Novel Real-Time Human Heart Rate Estimation Method for Noncontact Vital Sign Radar Detection

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IEEE ACCESS 2020年 8卷 88689-88699页

作者： Ding, Yipeng Yu, Xiali Lei, Chengxi Sun, Yinhua Xu, Xuemei Zhang, Juan Cent South Univ Sch Phys & Elect Changsha 410083 Peoples R China Shanghai Univ Sch Commun & Informat Engn Shanghai 200072 Peoples R China

This paper proposes a novel real-time human heart rate (HR) estimation method for noncontact vital sign radar detection. The proposed method combines the Hough transform based respiratory harmonics suppression algorithm and linear predictive coding (LPC) based HR estimation algorithm. Since respiration signals can cause serious interference to HR estimation, the Hough transform based respiratory harmonics suppression algorithm is first applied to successively identify and filter the respiration signals and the higher order harmonics by their distributions on the 2-D spectrum. After suppression, HR can be derived in real time based on the linear predictor coefficients of the filtered signals. Compared to the traditional method, the proposed method can estimate HR more precisely by reducing the interference of respiratory harmonics and avoiding the problem of insufficient frequency resolution caused by short-time windows. Experimental results are presented to demonstrate the performance of the proposed method.

关键词： Harmonic analysis Power harmonic filters Transforms Doppler radar Heart beat Heart rate variability Doppler radar heart rate harmonic analysis Hough transform clean algorithm linear predictive coding (LPC)

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A PARTIAL RELAXATION DOA ESTIMATOR BASED ON ORTHOGONAL MATCHING PURSUIT

A PARTIAL RELAXATION DOA ESTIMATOR BASED ON ORTHOGONAL MATCH...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Minh Trinh-Hoang Ma, Wing-Kin Pesavento, Marius Tech Univ Darmstadt Commun Syst Grp Darmstadt Germany Chinese Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China

ISBN: (纸本)9781509066315

A family of computationally efficient DOA estimators under the partial relaxation framework has recently been proposed. In this framework, the manifold structure of the "interfering" signals is relaxed, and only the manifold structure of one desired signal is retained. This particular type of relaxation results in closed-form estimates for the interference parameters and enhances the estimation performance compared to the conventional spectral-search methods. By adopting the principle of the partial relaxation approach, in this paper, a modification of the Orthogonal Matching Pursuit algorithm is proposed and applied to the Direction-of-Arrival estimation problem. In each iteration of the proposed partial relaxation-based orthogonal matching pursuit (PR-OMP) algorithm, the impact on the receive signal from the previously-estimated directions and the remaining direction with the relaxed steering structure are considered. Simulations show that the proposed PR-OMP algorithm outperforms conventional estimators in the case of low Signal-to-Noise-Ratio or small number of snapshots.

关键词： DOA Estimation Partial Relaxation Orthogonal Matching Pursuit clean algorithm

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Millimeter-Wave Radio Tomographic Imaging Technique using Multipath Components for Indoor Localization

Millimeter-Wave Radio Tomographic Imaging Technique using Mu...

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International Symposium on Antennas and Propagation (ISAP)

作者： Kim, Minseok Tasaki, Takeshi Yamakawa, Satoshi Niigata Univ Grad Sch Sci & Technol Niigata Japan

ISBN: (纸本)9787900914040

In this study, we propose a new radio tomographic imaging (RTI) technique, called Multipath-RTI, using millimeter-wave (mm-wave) radios such as 5G mobile and WiGig LAN systems, which will realize a highly accurate device-free human movement monitoring for smart home/smart building applications. Utilizing the features that mm-wave radios usually have high delay and angle resolution, and thus is capable of separating the multi-path components (MPCs), the Multipath-RTI can drastically reduce the number of sensor nodes by using the virtual nodes created by multipaths. This article presented the fundamental operation verification by ray-tracing simulations, and also showed the feasibility study by mm-wave propagation measurements.

关键词： radio tomographic imaging RTI channel sounding millimeter wave multipath clean algorithm

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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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