An investigation on number of signals whose directions-of-arrival are uniquely determinable with an electromagnetic vector sensor

Ho, K.C.; Tan, Kah-Chye; Ser, Wee

doi:10.1016/0165-1684(95)00098-4

Cited by 42 publications

(17 citation statements)

References 6 publications

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“…Thus, the additional antenna improves the identifiability compared with the electromagnetic vector-sensor. For more investigations of this identifiability issue with the electromagnetic vector-sensor, please refer to [65][66][67]. b The CRBs plotted in the figures in this section is computed by the same method as in [45], with the same signal model and noise model.…”

Section: Resultsmentioning

confidence: 99%

Enhanced "vector-cross-product" direction-finding using a constrained sparse triangular-array

Yuan

2012

EURASIP J. Adv. Signal Process.

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A new configuration of sparse array is proposed in this article to estimate the direction-of-arrivals (DOAs) and polarizations of multiple sources. This constrained sparse array is composed of a dipole-triad, a loop-triad, and a single antenna, which can be a dipole, a loop, or a scalar-sensor. These three units comprise a triangular geometry in the space. This geometry creatively synergizes the conventional interferometry method based on the spatial phase-delay across displaced antennas, and the "vector-cross-product" based on Poynting-vector estimator to enhance the DOA estimation accuracy. The investigated algorithm based on this configuration adopts the "vectorcross-product" DOA estimator to provide the coarse estimate and then derives the fine estimate by extracting the inter-sensor phase factors in the sparse array. Following this, the disambiguation approach is adapted to derive the unambiguous estimate, and this estimate is also fine in estimation resolution. The proposed configuration can extend the array aperture and also reduce the mutual coupling. The significant performance of the proposed sparse array composition is demonstrated by Monte Carlo simulations when the inter-sensor spacing far exceeds a half-wavelength.

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Section: Resultsmentioning

confidence: 99%

Enhanced "vector-cross-product" direction-finding using a constrained sparse triangular-array

Yuan

2012

EURASIP J. Adv. Signal Process.

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“…It generally used three orthogonal-electric-dipoles and magnetic-loops to measure the three electric-field-and three magnetic-field-parameters of the incident signals, respectively. Owing to numerous advantages over conventional scalar-sensor arrays (CSSAs), EMVS has been extensively investigated to solve the problem of direction-of-arrival (DOA) estimation B Guimei Zheng zheng-gm@163.com (Ho et al 1995;Tan et al 1996a, b;Guo et al 2011;Wong and Zoltowski 1997;Nehorai and Tichavsky 1999;Ko et al 2002;Yuan 2012b;Zoltowski and Wong 2000a, b;Wong and Zoltowski 2000a, b;Yuan et al 2012a, b;Yuan 2012a, c;Bihan and Mars 2004;Miron et al 2006;Bihan et al 2007;Gong et al 2011aGong et al , 2008Gong et al , 2011bLiang et al 2009;He and Liu 2009;Yuan 2012d;Rahamim et al 2004;Xu and Liu 2007;He et al 2010;Gong et al 2011c;Gu et al 2013) during the past two decades. First, the spatial collocation of an EMVS guarantees no phase delay, and hence makes its manifold independent of sources frequencies.…”

Section: Introductionmentioning

confidence: 99%

A novel spatially spread electromagnetic vector sensor for high-accuracy 2-D DOA estimation

Zheng

2015

Multidim Syst Sign Process

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In this paper, a new spatially spread electromagnetic vector sensor (SS-EMVS) is proposed by a two-step design. In addition, a novel DOA estimator with coarse-fine estimate combination is presented for the proposed array. The first step aims to make the configurations of SS-EMVS satisfy the "vector cross-product" estimator, leading to a coarse estimation of three direction-cosines. The second step focuses on extending the two dimensional (2-D) array apertures of SS-EMVS, resulting in two fine but ambiguous estimations on the direction-cosines by extracting inter-sensor phase-delay. Combination the coarse and fine estimations, the high-accuracy 2-D DOA estimation can be obtained by using the coarse estimation to disambiguate the fine estimation. The three-dipoles and loops of the proposed configuration are located separately, which are found to reduce mutual coupling as compared with collocated EMVS. Moreover, the new configuration is able to extend 2-D array aperture to improve the accuracy of 2-D direction-finding. Numerical Simulations are conducted to demonstrate the effectiveness of the proposed algorithm.

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“…Polarimetric modeling using vector sensors are performed in [19]. Identifiability and uniqueness issues associated with vector sensors are analyzed in [9], [20], [21], [23], [24].…”

Section: B Summary Of Relevant Literaturementioning

confidence: 99%

Self-initiating MUSIC-based direction finding and polarization estimation in spatio-polarizational beamspace

Wong

Zoltowski

2000

IEEE Trans. Antennas Propagat.

164

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Abstract-A novel self-initiating multiple signal classification (MUSIC)-based direction-finding (DF) and polarization-estimation algorithm in spatio-polarizational beamspace is herein presented for an arbitrarily spaced array of identically oriented electromagnetic vector sensors. An electromagnetic vector sensor, already commercially available, is composed of six colocated, but diversely polarized, antennas distinctly measuring all six electromagnetic-field components of a multisource incident wave field. This proposed algorithm: 1) exploits the incident sources' polarization diversity; 2) decouples the estimation of the sources' arrival angles from the estimation of the sources' polarization parameters; 3) uses ESPRIT on pairs of vector sensors to self-generate coarse estimates of the arrival angles to start off its MUSIC-based iterative search without any a priori information on the incident sources' parameters; 4) estimate the sources' polarization states; and 5) automatically pairs the -axis direction-cosine estimates with the -axis direction-cosine estimates and with the polarization estimates. Monte Carlo simulation results verify the efficacy of the proposed method.

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An investigation on number of signals whose directions-of-arrival are uniquely determinable with an electromagnetic vector sensor

Cited by 42 publications

References 6 publications

Enhanced "vector-cross-product" direction-finding using a constrained sparse triangular-array

Enhanced "vector-cross-product" direction-finding using a constrained sparse triangular-array

A novel spatially spread electromagnetic vector sensor for high-accuracy 2-D DOA estimation

Self-initiating MUSIC-based direction finding and polarization estimation in spatio-polarizational beamspace

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