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29th IEEE Conference on Signal Processing and Communications Applications (SIU)

作者： Obimo, Peter Nyongesah Tamer, Ozgur Dokuz Eylul Univ Dept Elect & Elect Engn Izmir Turkey

ISBN: (纸本)9781665436496

Sparse arrays are gaining a lot of consideration due to their ability to increase degrees of freedom of an array, an aspect that allows for resolving of more sources than the number of sensor elements. In this paper direction of arrival estimation for coprime linear arrays using multiple signal classification algorithm is presented. Two super-resolution methods namely decompose and combine as well as unfolded coprime linear array are considered with an aim of putting forth an in-depth performance comparison of the two. Both methods analyses nonuniform linear array by first, decomposing it according to its coprime integer pair to form two independent sub-arrays 1 and 2, proceeded by application of the estimation algorithm. Although decompose and combine method ensures computational simplicity since it considers either of the decomposed sub-arrays separately, its resolution and performance efficiency is lower compared to unfolded coprime linear array method which uses the two sub-array data simultaneously thereby preserving the intrinsic mutual information of the array, an aspect that is lost in the former method.

关键词： DoA estimation DECOM UCLA music algorithm

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Performance of Angle of Arrival Detection Using music algorithm in Inter-Satellite Link 2

Performance of Angle of Arrival Detection Using MUSIC Algori...

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International Conference on Signals and Systems (ICSigSys)

作者： Muhammad, Cahya Budi Wijanto, Heroe Setiawan, Antonius Darma Telkom Univ Sch Elect Engn Bandung Indonesia

ISBN: (纸本)9781538656891

An attitude of satellite is not always static, sometimes it moves randomly and the antenna pointing of satellite is harder to achieve line of sight communication to other satellite when it is outage by tumbling effect. In order to determine an appropriate direction of satellite antenna in inter-satellite link, this paper analyze estimation performance of the direction of arrival (DoA) using music algorithm from connected satellite signal source. It differs from optical measurement, magnetic field measurement, inertial measurement, and global positioning system (GPS) attitude determination. The proposed method is characterized by taking signal source from connected satellites, after that the main satellite processed the information to obtain connected satellites antenna direction. The simulation runs only on the direction of azimuth. The simulation result shows that music algorithm processing time is faster than satellite movement time in orbit on altitude of 830 km with the period of 101 minutes. With the use of a 50 elements array antenna in spacing of 0.5 wavelength, the total of 20 angle of arrival (AoA) can be detected in 0.98 seconds of processing time when using music algorithm.

关键词： Direction of Arrival inter-satellite link (ISL) music algorithm attitude determination tumbling effect

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Performance analysis of music algorithm in the presence of local scattering

Performance analysis of MUSIC algorithm in the presence of l...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Jaafar, I Boujemâa, H Siala, M SUPCOM Ariana 2083 Tunisia

ISBN: (纸本)0780386620

In wireless communication scenarios, local scattering in the mobile vicinity causes angular spreading which leads to music performances degradation. In this paper, we study the performance of music algorithm in presence of scattering under the assumption of time-invariant channel during the observation period. To this aim, an approximate distribution of the Direction Of Arrival (DOA) estimates is derived. Additionally a statistical analysis is carried out where a formulas for the bias and Root Mean Square Error (RMSE) of the DOA estimates are given. Simulation results of music algorithm are carried in different scenarios and compared to the theoretical study.

关键词： angular spread DOA music algorithm bias RMSE

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Techniques for radar imaging based on music algorithm

Techniques for radar imaging based on MUSIC algorithm

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International Symposium on Multispectral Image Processing and Pattern Recognition

作者： Chen, ZP Guo, B Han, HZ Natl Univ Def Technol Inst Elect Engn Changcha 410073 Hunan Peoples R China

ISBN: (纸本)0819430064

At first, the radar target scattering center model and music algorithm are analyzed. How to efficiently set the parameters of the music algorithm is given through a great deal of simulated radar data in experiment. After that, according to measured data of two kinds of plane target on fully polarized and high range resolution radar system, author mainly investigated particular utilization of music algorithm in radar imaging, two-dimensional radar images are generated for two targets measured in compact range. In the end, we draw a conclusion about the relationship between radar target scattering properties and imaging results.

关键词： music algorithm radar imaging scattering center

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ELoran Receiver Sky-ground Wave Recognition Based on music algorithm 2018

ELoran Receiver Sky-ground Wave Recognition Based on MUSIC A...

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2nd International Conference on Telecommunications and Communication Engineering (ICTCE)

作者： Zhao, Yaru Sun, Yanwei Huang, Ping State Key Lab Satellite Nav Syst & Equipment Tech Shijiazhuang Hebei Peoples R China Harbin Engn Univ Dept Automat Harbin Heilongjiang Peoples R China

ISBN: (纸本)9781450365857

In view of the fact that the conventional eLoran receiver sky-ground wave recognition method can not effectively utilize the signal energy, according to the characteristics of the eLoran sky-ground wave frequency domain signal mathematical model, a sky-ground wave recognition method based on multiple signal classification ( music) algorithm is proposed. This method converts the problem of time delay estimation into the problem of spectrum estimation, and then uses the music algorithm with high spectral resolution to realize the super-resolution estimation of eLoran sky-ground wave time delay. The feasibility of time delay estimation based on single measurement data is analyzed. The performance of music algorithm applied to single measurement data is simulated and tested. Simulation results show that the proposed method has super resolution capability for eLoran sky wave time delay estimation.

关键词： eLoran signal sky-ground wave music algorithm wireless channel

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Resolution improvement of the music algorithm utilizing two differently polarized antennas

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IEICE TRANSACTIONS ON COMMUNICATIONS 1996年第12期E79B卷 1827-1832页

作者： Yamakura, T Yamada, H Yamaguchi, Y Niigata Univ Niigata-shi Japan

Recently, a short range millimeter wave or a microwave sensing system has been extensively studied to estimate a target position or a source location. It can be applied to indoor propagation analysis, carborne applications, etc. The application of the superresolution technique has been proposed to obtain a high resolution performance in the time domain or the spatial domain. However, the availability of the polarization synthesis in the receiving antennas has not been considered. In this paper, we use a pair of polarized swept frequency data and propose two modifications of the music algorithm to enhance the resolution of time delay. One modification is the correlation matrix formulation which relates to the total signal power, and the other is a polarization filtering applied to the correlation matrix. These modifications have advantages such that: I) Reduction of the estimation problem to the delay time estimation only;2) Easy implementation. Experimental results are illustrated to show the availability of the methods, and to confirm the high resolution performance compared with the conventional method.

关键词： superresolution technique music algorithm polarization indoor propagation

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A multifrequency music algorithm for locating small inhomogeneities in inverse scattering

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INVERSE PROBLEMS 2017年第3期33卷 035015-035015页

作者： Griesmaier, Roland Schmiedecke, Christian Univ Wurzburg Math Inst D-97074 Wurzburg Germany

We consider an inverse scattering problem for time-harmonic acoustic or electromagnetic waves with sparse multifrequency far field data-sets. The goal is to localize several small penetrable objects embedded inside an otherwise homogeneous background medium from observations of far fields of scattered waves corresponding to incident plane waves with one fixed incident direction but several different frequencies. We assume that the far field is measured at a few observation directions only. Taking advantage of the smallness of the scatterers with respect to wavelength we utilize an asymptotic representation formula for the far field to design and analyze a music-type reconstruction method for this setup. We establish lower bounds on the number of frequencies and receiver directions that are required to recover the number and the positions of an ensemble of scatterers from the given measurements. Furthermore we briefly sketch a possible application of the reconstruction method to the practically relevant case of multifrequency backscattering data. Numerical examples are presented to document the potentials and limitations of this approach.

关键词： inverse scattering multiple frequencies music algorithm small scatterers

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A note on the music algorithm for impedance tomography

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INVERSE PROBLEMS 2017年第2期33卷 025001-025001页

作者： Hanke, Martin Johannes Gutenberg Univ Mainz Inst Math D-55099 Mainz Germany

We investigate the music algorithm for the reconstruction of small ( infinitesimal) inclusions inside a planar homogeneous object from discrete impedance tomography data within the framework of the gap electrode model. We provide a justification of the method whenever the number of electrodes exceeds 2( J + 1) where J is the number of the inclusions to be found.

关键词： impedance tomography music algorithm electrode models

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Detection performance of coherent signals by the polarization averaging music algorithm

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART II-ELECTRONICS 2001年第7期84卷 1-9页

作者： Yamada, H Yamakura, T Yamaguchi, Y Niigata Univ Fac Engn Dept Informat Engn Niigata 9502181 Japan

In remote sensing and the evaluation of radio wave propagation, there has recently been interest in highly accurate estimation methods with high resolution, including polarization information. In the superresolution method, which realizes a high resolution that cannot be achieved by the Fourier transform method, several reports have been presented on the use of polarization information. This paper considers polarization-averaging correlation reduction preprocessing, which is one of the methods of utilizing polarization data in the superresolution method. The correlation reduction performance when combined with SSP and MSSP is examined from theoretical and quantitative standpoints. It is shown by computer simulation that the MSSP method combined with polarization averaging can effectively reduce correlation by utilizing polarization, and that it achieves a higher estimation accuracy than other methods in propagation estimation with a smaller number of snapshots. (C) 2001 Scripta Technica, Electron Comm.

关键词： superresolution method polarization music algorithm signal correlation reduction time delay estimation

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The music algorithm for impedance tomography of small inclusions from discrete data

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INVERSE PROBLEMS 2015年第9期31卷 1-1页

作者： Lechleiter, A. Univ Bremen Ctr Ind Math D-28359 Bremen Germany

We consider a point-electrode model for electrical impedance tomography and show that current-to-voltage measurements from finitely many electrodes are sufficient to characterize the positions of a finite number of point-like inclusions. More precisely, we consider an asymptotic expansion with respect to the size of the small inclusions of the relative Neumann-to-Dirichlet operator in the framework of the point electrode model. This operator is naturally finite-dimensional and models difference measurements by finitely many small electrodes of the electric potential with and without the small inclusions. Moreover, its leading-order term explicitly characterizes the centers of the small inclusions if the (finite) number of point electrodes is large enough. This characterization is based on finite-dimensional test vectors and leads naturally to a music algorithm for imaging the inclusion centers. We show both the feasibility and limitations of this imaging technique via two-dimensional numerical experiments, considering in particular the influence of the number of point electrodes on the algorithm's images.

关键词： Impedance Tomography music algorithm Point electrode model

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