Estimating Directions-of-Arrival of Completely and Incompletely Polarized Signals with Electromagnetic Vector Sensors

Ho, K.C.; Tan, Kah-Chye; Nehorai, Arye

doi:10.1016/s1474-6670(17)42896-5

Cited by 21 publications

(35 citation statements)

References 7 publications

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“…Reference [10] is simplified in [35] and is extended in [27] for partially polarized sources. Reference [36] is first to use the vector cross-product DOA estimator in an ESPRIT-based direction finding scheme involving multiple vector sensors and is followed up by [32] and [37]. References [25], [28] apply the vector cross-product DOA-estimator in another ESPRIT-based with a solitary vector sensor.…”

Section: B Summary Of Relevant Literaturementioning

confidence: 99%

“…From the direction-cosine estimates derived above, the th signal's azimuth and elevation arrival angles may be estimated as (28) (29) The corresponding polarization parameter estimates equal (30) (31) where (32) and has been defined in (3). Note that these estimates of the sources' azimuths, elevations, and polarization parameters have been automatically matched with no additional processing.…”

Section: Spatio-polarizational Beamspace Self-initiating Music-basmentioning

confidence: 99%

See 1 more Smart Citation

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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Section: B Summary Of Relevant Literaturementioning

confidence: 99%

Section: Spatio-polarizational Beamspace Self-initiating Music-basmentioning

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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“…In [17,18], Jian Li integrated the polarization into ESPRIT successfully. The pencil-MUSIC algorithm is devised for DOA and polarization estimation in [19,20,21], which extend the ESPRIT-like algorithm to partially polarized sources. [22,23] provide an algorithm based on sparse ULA, consisting of sensors which can measure all six electrical and magnetic components.…”

Section: Introductionmentioning

confidence: 99%

A Fast DOA Estimation Algorithm Based on Polarization MUSIC

Guo¹,

Mao²,

Li³

et al. 2015

RADIOENGINEERING

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Abstract.A fast DOA estimation algorithm developed from MUSIC, which also benefits from the processing of the signals' polarization information, is presented. Besides performance enhancement in precision and resolution, the proposed algorithm can be exerted on various forms of polarization sensitive arrays, without specific requirement on the array's pattern. Depending on the continuity property of the space spectrum, a huge amount of computation incurred in the calculation of 4-D space spectrum is averted. Performance and computation complexity analysis of the proposed algorithm is discussed and the simulation results are presented. Compared with conventional MUSIC, the proposed algorithm has considerable advantage in aspects of precision and resolution, with a low computation complexity proportional to a conventional 2-D MUSIC.

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“…The purpose of this paper is to provide a mathematical framework for sensitivity analysis of antenna near-eld imaging problems, based on the multipole expansion of the electromagnetic eld [1,7,10], linear estimation theory and the Fisher information [11] to quantify the quality of data, see also [18]. The presented framework has potential for many inverse, or antenna imaging problems such as e.g., in microwave tomography [5], digital holographic microscopy [6], non-destructive testing of wood [20], antenna near-eld imaging [19], multimode antenna analysis [23,29] or as an electromagnetic model for antenna array signal processing using vector sensors [8,14,24,28].…”

Section: Introductionmentioning

confidence: 99%