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An Effective Method for Attributed Scattering Center Extraction Based on an Improved ESPRIT Algorithm

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
semanticscholar   +1 more source

Performance analysis of the VIA-ESPRIT algorithm

IEE Proceedings F Radar and Signal Processing, 1993
The 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
openaire   +1 more source

Dual-Stream Reconstruction Network-Aided ESPRIT Algorithm for DoA Estimation in Coherent Scenarios

IEEE Transactions on Vehicular Technology
Conventionally, 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
semanticscholar   +1 more source

Reduced-dimensional ESPRIT algorithm for MIMO radar

Proceedings of 2011 IEEE CIE International Conference on Radar, 2011
A 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
openaire   +1 more source

An Efficient and Accurate RCS Reconstruction Technique Using Adaptive TLS-ESPRIT Algorithm

IEEE Antennas and Wireless Propagation Letters
In 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
semanticscholar   +1 more source

Asymptotic performance analysis of three ESPRIT algorithms

Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, 2002
We 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
openaire   +1 more source

The Esprit Algorithm With Higher-order Statistics

Workshop on Higher-Order Spectral Analysis, 2005
We 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
openaire   +1 more source

A fast implementation of the ESPRIT algorithm

International Conference on Acoustics, Speech, and Signal Processing, 2002
A 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
openaire   +1 more source

GTD Model Parameters Estimation Based on Improved LS-ESPRIT Algorithm

Progress in Electromagnetics Research Symposium, 2019
With 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, 1998
A 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
openaire   +1 more source

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