Results 181 to 190 of about 5,419,576 (229)
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IEEE Transactions on Antennas and Propagation
According to the theories of physical optics and geometrical diffraction, the backscattered field of a radar target in a high-frequency domain can be obtained by coherently summing the responses of a series of independent scattering centers.
Xiaofeng Shen +3 more
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According to the theories of physical optics and geometrical diffraction, the backscattered field of a radar target in a high-frequency domain can be obtained by coherently summing the responses of a series of independent scattering centers.
Xiaofeng Shen +3 more
semanticscholar +1 more source
Performance analysis of the VIA-ESPRIT algorithm
IEE Proceedings F Radar and Signal Processing, 1993The VIA-ESPRIT algorithm is a computationally efficient method for direction of arrival (DOA) estimation. This algorithm uses virtual interpolated arrays (VIA) to apply ESPRIT type techniques to arbitrary array geometries. This paper presents a performance analysis of VIA-ESPRIT.
M. Gavish, A.J. Weiss
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Dual-Stream Reconstruction Network-Aided ESPRIT Algorithm for DoA Estimation in Coherent Scenarios
IEEE Transactions on Vehicular TechnologyConventionally, direction of arrival (DoA) estimation of coherent signals relies on pre-processing approaches to eliminate the rank loss of the signal covariance matrix (SCM).
Liujie Lv +4 more
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Reduced-dimensional ESPRIT algorithm for MIMO radar
Proceedings of 2011 IEEE CIE International Conference on Radar, 2011A reduced-dimensional (RD) ESPRIT algorithm is proposed to reduce the dimension of the received data and to estimate the DOAs of multiple targets for arbitrary MIMO radar linear array configuration. It exploits the rotational invariance property of the RD virtual array and has much lower computational complexity than the methods of the same kind.
null Minglei Yang +3 more
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An Efficient and Accurate RCS Reconstruction Technique Using Adaptive TLS-ESPRIT Algorithm
IEEE Antennas and Wireless Propagation LettersIn this letter, an adaptive total least squares-estimating signal parameter via rotational invariance techniques (TLS-ESPRIT) algorithm based on the analytical perspective is proposed to efficiently construct the scattering center model (SCM) and ...
Fang-Yin Zhu +4 more
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Asymptotic performance analysis of three ESPRIT algorithms
Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, 2002We present an asymptotic performance analysis of three subspace-based methods for direction of arrival (DOA) estimation-the ESPRIT algorithm using second-order statistics, the higher-order ESPRIT algorithm using fourth-order cumulants, and the virtual ESPRIT (VESPA) algorithm using fourth order cumulants.
N. Yuen, B. Friedlander
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The Esprit Algorithm With Higher-order Statistics
Workshop on Higher-Order Spectral Analysis, 2005We address in this paper the bearing estimation problem of sources from array measurements for signal environments where the signal is non-Gaussian and the additive noise sources are colored (spatially correlated) Gaussian with unknown second-order statistics.
null Hsing-Hsing Chiang, C.L. Nikias
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A fast implementation of the ESPRIT algorithm
International Conference on Acoustics, Speech, and Signal Processing, 2002A fast implementation of the ESPRIT algorithm, incorporating parallel processing, is described. ESPRIT is a novel, subspace fitting, parameter estimation algorithm which is used for obtaining high-resolution, unbiased estimates of the frequencies and powers of complex sinusoids in noise.
J.S. McGarrity +2 more
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GTD Model Parameters Estimation Based on Improved LS-ESPRIT Algorithm
Progress in Electromagnetics Research Symposium, 2019With the rapid development of stealth technology, the radar target edge diffraction has become the main scattering source and it has replaced the mirror diffraction.
Shuyu Zheng +3 more
semanticscholar +1 more source
Fast recursive subspace adaptive ESPRIT algorithms
IEEE Transactions on Signal Processing, 1998A class of fast recursive ESPRIT algorithms for adaptive (on-line) source localization based on subspace tracking and adaptive rank reduction is introduced. These adaptive ESPRIT algorithms can be used for on-line tracking of r maneuvering sources in space using the output of an N-element sensor array, where N>2r. The fastest of our algorithms requires
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