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Journal ArticleDOI

On the application of uniform linear array bearing estimation techniques to uniform circular arrays

A.H. Tewfik, +1 more
- 01 Apr 1992 - 
- Vol. 40, Iss: 4, pp 1008-1011
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TLDR
It is shown that the transformed sequence may be processed using a ROOT MUSIC based approach to estimate the elevations and azimuths of the observed sources.
Abstract
The problem of estimating the directions of arrival of narrowband plane waves impinging on a uniform circular array with M identical sensors uniformly distributed around a circle is considered. Specifically, the authors study a transformed data sequence that is equal to a reordering of the inverse discrete Fourier transform sequence corresponding to the outputs of a circular array with M elements uniformly distributed around the array circumference. It is shown that the transformed sequence may be processed using a ROOT MUSIC based approach to estimate the elevations and azimuths of the observed sources. Any root estimated via ROOT MUSIC which is on or close to the unit circle indicates the presence of a source at the elevation under consideration and an azimuth equal to the phase of the root. Experimental results are provided to demonstrate the advantages of processing the transformed data. >

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Citations
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Journal ArticleDOI

Eigenstructure techniques for 2-D angle estimation with uniform circular arrays

TL;DR: Two eigenstructure-based estimation algorithms that operate in beamspace and employ phase mode excitation-based beamformers have been developed and one of them, UCA-ESPRIT, represents a significant advance in the area of 2D angle estimation.
MonographDOI

Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking

Guoqiang Mao, +1 more
TL;DR: In this paper, the authors provide a comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms in WSNs. And they provide relevant references and the latest studies emerging out of the wireless sensor network field.
Journal ArticleDOI

On the application of the global matched filter to DOA estimation with uniform circular arrays

TL;DR: A method that uses as input the values of a small number of uniformly spaced beams and applies a model-fitting approach taking into account the statistical properties of the beams, which drastically improves upon the conventional beamformer and has a performance comparable with the best high-resolution techniques.
Journal ArticleDOI

Direction finding of coherent signals via spatial smoothing for uniform circular arrays

TL;DR: In this paper, a preprocessing technique that in conjunction with spatial smoothing circumvents the difficulty of direction-of-arrival estimation of coherent signals in the case of uniform circular arrays is presented.
Book

Sensor Array Signal Processing

TL;DR: In this paper, the authors focus on the common threads that exist in wavefield analysis and provide a broad overview of sensor array signal processing, including simple beamforming, spatial filtering, and high resolution DOA estimation.
References
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Journal ArticleDOI

Multiple emitter location and signal parameter estimation

TL;DR: In this article, a description of the multiple signal classification (MUSIC) algorithm, which provides asymptotically unbiased estimates of 1) number of incident wavefronts present; 2) directions of arrival (DOA) (or emitter locations); 3) strengths and cross correlations among the incident waveforms; 4) noise/interference strength.
Proceedings ArticleDOI

Improving the resolution performance of eigenstructure-based direction-finding algorithms

TL;DR: Several methods for reducing the SNR required for resolution are presented, including examining the roots of the spectrum polynomial and using the properties of the so-called signal-space eigenvectors to define a rational spectrum function with improved resolution capabilities.
Journal ArticleDOI

Estimating the Angles of Arrival of Multiple Plane Waves

TL;DR: In this article, a polynomial D(z) with special properties is constructed from the eigenvectors of C, the zeros of which give estimates of the angle of arrival.
Journal ArticleDOI

Eigenvalue and eigenvector decomposition of the discrete Fourier transform

TL;DR: The eigenvalues of a suitably normalized version of the discrete Fourier transform (DFT) are {1, -1,j, -j} and an eigenvector basis is constructed for the DFT.
Journal ArticleDOI

Algorithms for triangular decomposition of block Hankel and Toeplitz matrices with application to factoring positive matrix polynomials

TL;DR: An iterative method is described for factoring p X p-matrix valued positive polynomials R = E7=-m Rix', R_ = R', asA(x)A'(x-1), where A( x) is outer.
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