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An Effective RCS Reconstruction Technique Based on root-music algorithm

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS 2024年第12期23卷 4892-4896页

作者： Ding, Pengcheng Que, Xiaofeng Hu, Jun Univ Elect Sci & Technol China Sch Elect Sci & Engn Chengdu 611731 Peoples R China

Target radar cross-section (RCS) reconstruction is an effective means of compressing target echo data. Most current studies based on the geometrical theory of diffraction model can only perform RCS reconstruction for targets with a known number of scattering centers. It is also difficult to estimate the locations of the scattering centers accurately, resulting in poor reconstruction accuracy. In this letter, an effective RCS reconstruction method using the root-music technique is proposed. We apply the Gershgorin disk estimator to estimate the number of scattering centers to achieve the RCS reconstruction for noncooperative targets. Then, the root-music algorithm is employed to estimate the locations of scattering centers to improve the reconstruction accuracy. Finally, an orthogonal method is used to determine the scattering type, and the least square technique is utilized to calculate the amplitude of each scattering center. The proposed method can accurately extract the locations and amplitudes of scattering centers of targets. We quantitatively compared the reconstruction accuracy of existing work and the proposed method using two radar targets. The results show that the proposed method can achieve more accurate RCS reconstruction with a high data compression ratio.

关键词： Scattering Accuracy Radar cross-sections Proposals Eigenvalues and eigenfunctions Time complexity Radar scattering Multiple signal classification Covariance matrices Costs Geometrical theory of diffraction (GTD) radar cross-section (RCS) reconstruction root-music algorithm scattering center

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An Improved root-music algorithm and MSE Analysis

An Improved Root-MUSIC Algorithm and MSE Analysis

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International Conference on Computer, Information and Telecommunication Systems (CITS)

作者： Wang, Dijie Chai, Rong Gao, Feifei Chongqing Univ Posts & Telecommun Key Lab Mobile Commun Technol Chongqing 40065 Peoples R China Tsinghua Univ Dept Automat State Key Lab Intelligent Technol & Syst Beijing 100084 Peoples R China

ISBN: (纸本)9781509006908

root-music algorithm is a method of DOA estimation based on polynomial rooting. It estimated based on the cost function instead of peak searching, which greatly reduces the computation compared with music algorithm. However, it came with some other errors. In this letter, we propose a new method based on the the first-order derivative of the cost function and analyze the mean and the MSE of the proposed method. Simulation results show that the improved method performs better than the existing root-music method.

关键词： DOA estimation root-music algorithm Cost function First-order derivative

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A novel CS Beamformer root-music algorithm and its subspace deviation analysis

A novel CS Beamformer root-MUSIC algorithm and its subspace ...

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IEEE Region 10 Conference (TENCON)

作者： Aich, Abhishek Palanisamy, P. Natl Inst Technol Dept Elect & Commun Engn Tiruchirappalli 620015 Tamil Nadu India

ISBN: (纸本)9781509011346

Subspace based techniques for direction of arrival (DOA) estimation need large amount of snapshots to detect source directions accurately. This poses a problem in the form of computational burden on practical applications. The introduction of compressive sensing (CS) to solve this issue has become a norm in the last decade. In this paper, a novel CS beamformer root-music algorithm is presented with a revised optimal measurement matrix bound. With regards to this algorithm, the effect of signal subspace deviation under low snapshot scenario (e.g. target tracking) is analysed. The CS beamformer greatly reduces computational complexity without affecting resolution of the algorithm, works on par with root-music under low snapshot scenario and also, gives an option of non-uniform linear array sensors unlike the case of root-music algorithm. The effectiveness of the algorithm is demonstrated with simulations under various scenarios.

关键词： Direction of arrival root-music algorithm Compressive sensing beamforming subspace deviation snapshot number

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BLOCKED SPECTRUM COMPRESSIVE SENSING BASED ON root-music algorithm FOR SAR IMAGE

BLOCKED SPECTRUM COMPRESSIVE SENSING BASED ON ROOT-MUSIC ALG...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Li, Xiaobo Chen, Jie Zhu, Yanqing Beihang Univ Sch Elect Informat Engn Beijing Peoples R China

ISBN: (纸本)9781467311595

In order to effectively reduce the storage volume of complex image data in high-resolution synthetic aperture radar (SAR), blocked spectrum compressive framework [1][2] based on root-music algorithm is proposed. In this paper block-wise processing [3] of SAR image method is introduced, which can effectively reduce the storage space of measurement matrix. Gaussian random matrix is employed as observation matrix [4][5] to obtain observed value of each sub-block. Model parameters can be calculated by means of root-music algorithm. Spectrum signal is reconstructed from small amount of measurements. Simulation results with real spatial-sparse SAR image demonstrate that data storage capacity can be reduced to as low as 1.17%, which validate the effectiveness of the method.

关键词： SAR image compressive sensing block root-music algorithm signal reconstruction

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A Modified root-music algorithm for Signal DOA Estimation

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Journal of Systems Engineering and Electronics 1999年第4期10卷 42-47页

作者： He Zishu Li Yong & Xiang Jingcheng(Institute of Electronic Engineering, University of Electronic Science & Technology,Chengdu 610054, P. R. China) Institute of Electronic Engineering University of Electronic Science & Technology Chengdu 610054 P. R. China

This paper presents a modified root-music algorithm by which the signal DOA estimation performance can be improved when the snapshot number is limited. The operation principlesof this algorithm are described in detail. It is also pointed out theoretically that this is equivalentto have increased the snapshot number and can make the DOA estimation better. Finally, somesimulating results to verify the theoretical analyses are presented.

关键词： Array signal processing root-music algorithm Signal DOA estimation Eigendecomposition

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BLOCKED SPECTRUM COMPRESSIVE SENSING BASED ON root-music algorithm FOR SAR IMAGE

BLOCKED SPECTRUM COMPRESSIVE SENSING BASED ON ROOT-MUSIC ALG...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Xiaobo Li Jie Chen Yanqing Zhu School of Electronic Information Engineering Beihang University

ISBN: (纸本)9781467311601

关键词： SAR image Compressive sensing Block root-music algorithm Signal reconstruction

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3D Imaging algorithm of Directional Borehole Radar Based on root-music

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REMOTE SENSING 2021年第15期13卷 2957-2957页

作者： Wang, Wentian Liu, Sixin Shen, Xuzhang Zheng, Wenjun Sun Yat Sen Univ Sch Earth Sci & Engn Zhuhai 519082 Peoples R China Jilin Univ Coll Geoexplorat Sci & Technol Changchun 130026 Peoples R China

A directional borehole radar consists of one transmitting antenna in the borehole and four receiving antennas distributed at equal angles in a ring. The receiving antennas can determine the depth and orientation of targets beside the borehole. However, the problem of target orientation determination and 3D imaging algorithms remains a technological challenge. The music (multiple signal classification) algorithm requires a peak search, so the accuracy of the operation is limited by the angle interval. Based on the music algorithm, the root-music algorithm is proposed and implemented. By replacing the spectral peak search with calculating the roots of the polynomials greatly improves the orientation recognition accuracy. Finally, the results obtained using the above algorithm are verified with synthetic data and compared with the results of the music algorithm. The results show that both the music algorithm and the root-music algorithm can achieve very good orientation determination and 3D imaging results. In terms of accuracy, the root-music algorithm has an obvious improvement compared with the music algorithm.

关键词： orientation recognition root-music algorithm directional borehole radar 3D imaging

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Scattering parameter estimation accuracy of root-music algorithms in electromagnetic wave scattering measurements

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART II-ELECTRONICS 1996年第5期79卷 106-115页

作者： Yamada, H Yamamoto, K Yamaguchi, Y Sengoku, M Faculty of Engineering Niigata University Niigata Japan 950-21 Received his B.S. M.S. and Ph.D. degrees from Hokkaido University Sapporo Japan in 1988 1990 and 1993 respectively all in Electronic Engineering. Since 1993 he has been with Niigata University where he is currently a Lecturer. His current research involves superresolution techniques electromagnetic wave measurements and radar signal processings. Dr. Yamada is a member of the IEEE. Received his B.S. degree from Niigata University Niigata Japan in 1994 in Information Engineering. He is currently in the Master's program in Information Engineering. His current research involves superresolution technique and antenna measurements. Received his B.E. degree in Electronics Engineering from Niigata University in 1976 and his M.E. and Dr. of Eng. degrees from Tokyo Institute of Technology Tokyo Japan in 1978 and 1983 respectively. In 1978 he joined the Faculty of Engineering Niigata University where at present he is a Professor. From 1988 to 1989 he was a Research Associate at the University of Illinois at Chicago. His interests are in the field of propagation characteristics of electromagnetic wave in lossy medium radar polarimetry microwave remote sensing and imaging. Dr. Yamaguchi is a senior member of IEEE and a member of the Japan Society for Snow Engineering. Received his B.E. degree in Electrical Engineering from Niigata University Japan in 1967 and his M.E. and Ph.D. degrees from Hokkaido University in 1969 and 1972 respectively. In 1972 he joined the staff at Hokkaido University as a Research Associate. In 1978 he was an Associate Professor at Niigata University where he is presently a Professor. During 1986–1987 he was a Visiting Scholar at the University of California Berkeley and at the University of Illinois Chicago. His research interests include transmission of information network theory and graph theory. He is a recipient of the Best Paper Award of I.E.I.C.E. in 1992. Dr. Sengoku is a senior member of IEE

An application of the superresolution method for the analysis of the electromagnetic scattering data is expected to be effective for experimental verification of the geometrical optics approximation theory and the analysis of multiple paths. There exist many techniques for the superresolution method. It is desirable to select an appropriate technique based upon the characteristics of the individual algorithms. Among these techniques, the root-music method has been proposed;this method enables treatment of the signal attenuating exponentially with respect to frequency. In the modified root-music method, arbitrary frequency characteristics can be treated. This paper investigates the estimation accuracy of the scattering center and the attenuation coefficient when the root-music method and the modified root-music method are applied to the estimation of scattering. With the backscattering data of a conducting sphere, the estimation accuracy of the scattering parameters versus the signal-to-noise ratio (SNR) and the number of snapshots is investigated by computer simulation. As a result, it is found that the estimation accuracy of the modified root-music method is much better than that of the conventional root-music method in the case of a low SNR and a small number of snapshots. Experimental results are also reported.

关键词： super-resolution root-music algorithm modified root-music algorithm electromagnetic scattering scattering center creeping wave

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A MOBA-root-music-Based Demodulation Method for Surface Acoustic Wave Torque Sensor

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IEEE SENSORS JOURNAL 2022年第23期22卷 22770-22777页

作者： Fan, Yanping Yang, Zhouhao Ma, Xiaoxin Xiao, Qiang Qi, Hongli Li, Tao Univ Shanghai Sci & Technol Sch Opt Elect & Comp Engn Shanghai 200093 Peoples R China Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China 26th Inst China Elect Technol Grp Corp Chongqing 400060 Peoples R China Shanghai Marine Equipment Res Inst Shanghai 200031 Peoples R China

To improve the measurement accuracy of surface acoustic wave (SAW) torque sensor, an ultrahigh precision SAW torque sensor demodulation method based on multi-objective bat algorithm (MOBA) and root-music algorithm was proposed. The root-music algorithm was adopted to construct the polynomial equation of SAW echo signals. The construction of the objective function was based on two principles: the least distance to unit circle and least phase angle to the mean roots. MOBA was used to optimize the objective function to improve the accuracy of the roots. The numerical simulation and actual interrogating experiments were carried out and comparisons with other methods were conducted. The demodulation results verified that the proposed method had a minimum estimation error with standard deviation of 1 Hz. The designed demodulation method was used to the SAW torque measurement system. The torque sensing SAW resonator (SAWR) was designed using an FEM software and manufactured with a frequency of 433.945 MHz and an unload ${Q}$ factor of 13 370. The SAWR was glued on a bearing to measure applied torque. The torque loading and unloading experiments demonstrated that the nonlinearity of the proposed method was 0.1402%, which is the minimum when compared to other methods. The hysteresis was 1.1791%, and the sensitivity was 1.3570 kHz/Nm. Numerical simulation and experimental results demonstrated the effectiveness and accuracy of the designed algorithm in SAW torque sensor demodulation system.

关键词： Index Terms-Frequency estimation multi-objective bat algorithm (MOBA) root-music algorithm surface acoustic wave (SAW) torque

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Target tracking with multi acoustic array sensors data

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DEFENCE SCIENCE JOURNAL 2007年第3期57卷 289-303页

作者： Naidu, V. P. S. Raol, J. R. Natl Aeronaut Lab Bangalore 560017 Karnataka India

Acoustic array sensor along with root-music algorithm is used to estimate the direction of arrival of the acoustic signal emitted by an acoustic target. Three architectures are used to track the target in Cartesian coordinates: (i) digital filter with least square estimation, (ii) linear Kalman filter with least square estimation, and (iii) extended Kalman filter. A comparative evaluation of the three architectures in terms of performance metrics is presented.

关键词： multi acoustic array sensor target tracking root-music algorithm acoustic sensors multiple signal classification

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