Results 171 to 180 of about 5,419,576 (229)
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The interpolated ESPRIT algorithm
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991The technique of interpolated arrays is applied to ESPRIT-type direction-finding methods. The resulting method uses sensor arrays with arbitrary configuration, thus eliminating the basic restrictive requirement of ESPRIT for two (or more) identical arrays.
A.J. Weiss, M. Gavish
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EF-ESPRIT: A simplified ESPRIT algorithm without generalized eigenvalue calculation
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology, 2013ESPRIT is an algorithm for DOA (Direction-of-Arrival) estimation. It provides a high angular resolution compared to the MUSIC algorithm, yet it has to calculate generalized eigenvalues of matrix pencils. In this paper, by introducing the sub-space decomposition into the original ESPRIT algorithm and exploiting Hermite symmetry of the correlation matrix
Youling Zhou +3 more
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On the multi-resolution ESPRIT algorithm
Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing (Cat. No.98TH8381), 2002Multi-resolution ESPRIT is an extension of the ESPRIT direction finding algorithm to antenna arrays with multiple baselines. A short (half-wavelength) baseline is necessary to avoid aliasing, a long baseline is preferred for accuracy. The MR-ESPRIT algorithm allows us to combine both estimates. The ratio of the longest baseline to the shortest one is a
Lemma, A.N. (author) +2 more
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The ESPRIT algorithm. Variants and precision
2010 9th International Symposium on Electronics and Telecommunications, 2010Since wireless communications began to take an abrupt rise, with the development of techniques which were introduced for the growth of data transfer, antenna systems were considered to be the ideal choice to obtain the wanted results. Nevertheless these techniques required the development of certain algorithms also, to facilitate the recognition of the
Arpad Iozsa, Andy Vesa
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An iterative virtual-ESPRIT algorithm (IVESPA)
Proceedings of 8th Workshop on Statistical Signal and Array Processing, 2002An iterative algorithm (IVESPA) for narrow-band direction-finding and waveform recovery is presented which is based on the virtual-ESPRIT (VESPA) of Dogan and Mendel (see IEEE Trans. on Signal Processing, vol.42, no.5, p.1200, 1995). IVESPA can handle the case where the data length is short and some of the sources have very small higher-order ...
E. Gonen, J.M. Mendel
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Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar Target Localization
International Conference on Security and Management, 2020Frequency-diverse array (FDA) can provide a rangeangle-time dependent beamforming capability that could make a difference in some radar applications.
Z. Xu +4 more
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DOA estimation method of electronically controlled beam-scanning LWA based on ESPRIT algorithm
IET Communications, 2020A novel direction-of-arrival (DOA) estimation method based on electronically controlled beam scanning leaky-wave antenna (LWA) combined with estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm is proposed.
Shuang Ma +4 more
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Physical review B
Representing real-time data as a sum of complex exponentials provides a compact form that enables both denoising and extrapolation. As a fully data-driven method, the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm
A. Erpenbeck +8 more
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Representing real-time data as a sum of complex exponentials provides a compact form that enables both denoising and extrapolation. As a fully data-driven method, the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm
A. Erpenbeck +8 more
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Scalable Hardware Architecture for High-Throughput Implementation of ESPRIT Algorithm
IEEE Sensors JournalEstimating signal parameter via rotational invariance technique (ESPRIT) algorithm is a high-performance method for direction of arrival (DOA) estimation.
Yanjie Huang +5 more
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Bias analysis for ESPRIT-type estimation algorithms
IEEE Transactions on Antennas and Propagation, 1994A statistical analysis using perturbation expansion is applied to the DOA estimation bias for ESPRIT, state-space realization (TAM), and matrix-pencil algorithms, assuming that only a finite amount of array data is available. The authors have obtained an analytical expression for the DOA estimation bias in a simple and self-contained fashion.
null Fu Li, null Yang Lu
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