[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhao et al., 2017 - Google Patents

Direction-of-arrival estimation of multipath signals using independent component analysis and compressive sensing

Zhao et al., 2017

View HTML
Document ID
1447362202425171393
Author
Zhao L
Xu J
Ding J
Liu A
Li L
Publication year
Publication venue
Plos one

External Links

Snippet

Multipath signal is often considered an interference that must be removed. The coherence between multipath and direct component makes it difficult to use conventional direction-of- arrival (DOA) estimation methods in a smart antenna system. This study demonstrates a new …
Continue reading at journals.plos.org (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/14Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141Discrete Fourier transforms
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/14Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/147Discrete orthonormal transforms, e.g. discrete cosine transform, discrete sine transform, and variations therefrom, e.g. modified discrete cosine transform, integer transforms approximating the discrete cosine transform
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/16Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06GANALOGUE COMPUTERS
    • G06G7/00Devices in which the computing operation is performed by varying electric or magnetic quantities
    • G06G7/12Arrangements for performing computing operations, e.g. operational amplifiers
    • G06G7/19Arrangements for performing computing operations, e.g. operational amplifiers for forming integrals of products, e.g. Fourier integrals, Laplace integrals, correlation integrals; for analysis or synthesis of functions using orthogonal functions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S3/00Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
    • G01S3/02Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using radio waves

Similar Documents

Publication Publication Date Title
Xenaki et al. Compressive beamforming
Zhao et al. Direction-of-arrival estimation of multipath signals using independent component analysis and compressive sensing
Wang et al. Adaptive beamforming with compressed sensing for sparse receiving array
Tao Performance analysis for interference and noise canceller based on hypercomplex and spatio‐temporal‐polarisation processes
Mao et al. An Improved DOA Estimation Algorithm Based on Wavelet Operator.
Decurninge et al. Robust Burg estimation of radar scatter matrix for autoregressive structured SIRV based on Fréchet medians
Srinivas et al. Performance comparison of reconstruction algorithms in compressive sensing based single snapshot doa estimation
Cheng et al. Sparse representation based two‐dimensional direction‐of‐arrival estimation method with L‐shaped array
Jia et al. Direction of arrival estimation with co-prime arrays via compressed sensing methods
Famoriji et al. Critical review of basic methods on DoA estimation of EM waves impinging a spherical antenna array
Kilic et al. Adaptive measurement matrix design in direction of arrival estimation
Hu et al. A self-calibration algorithm for cross array in the presence of mutual coupling
Ang et al. Multiband grid-free compressive beamforming
Du et al. Adaptive beamforming algorithm for coprime array based on interference and noise covariance matrix reconstruction
Yang et al. Nonuniform linear array DOA estimation using EM criterion
Zhang et al. The fractional lower order moments based ESPRIT algorithm for noncircular signals in impulsive noise environments
Afkhaminia et al. 2D off‐grid DOA estimation using joint sparsity
Wu et al. Compressed sensing techniques for altitude estimation in multipath conditions
Hosseini et al. DOA estimation using multiple measurement vector model with sparse solutions in linear array scenarios
Blanco et al. Sparse covariance fitting for direction of arrival estimation
Zhong et al. Subspace-based higher-order compressive sensing algorithm for raypath separation in a shallow-water waveguide
Kılıç Adaptive techniques in compressed sensing based direction of arrival estimation
Kiliç et al. Prior based grid selection algorithm for compressed sensing based direction of arrival estimation methods
Salama et al. Compressed sensing DOA estimation in the presence of unknown noise
Li et al. Doa estimation based on sparse reconstruction via acoustic vector sensor array under non-uniform noise