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Multidimensional Parameters Estimation of Array Signal Based on Steering Vector

Authors: Weimin Jia; Minli Yao; Jianshe Song;

Multidimensional Parameters Estimation of Array Signal Based on Steering Vector

Abstract

This paper exploits rotation invariance of matrix pencil based on two parallel uniform linear polarization sensitive arrays, and eigenvalues and the corresponding eigenvectors of the matrix pencil are the rotation matrix and time-space-polarization steering vector of the subarray, respectively. The eigenvalues and steering vector can be used to estimate frequency, two-dimensional angles and polarization of incident signal simultaneously without spectral search. This method is of virtual array element and comparatively high resolution. Moreover this method is equal to multi-dimensional ESPRIT that matrix pencils share the same common set of eigenvectors, and two methods exploit the same information such as eigenvalues and eigenvectors of the matrix pencil. The simulation results verify and analyse the performances of two methods.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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