Various Compositions to Form a Triad of Collocated Dipoles/Loops, for Direction Finding and Polarization Estimation

Yuan, Xin; Wong, Kainam Thomas; Xu, Zixin; Agrawal, K.

doi:10.1109/jsen.2011.2179532

Cited by 61 publications

(48 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…tripole) has been investigated by Comption Jr. [46,47]. The dipole-triad (array) was used for direction finding in [48][49][50][51][52]. The performance of a dipole-triad array for 1D direction finding and polarization estimation has been evaluated in [48] through the CRBs derivation, and it showed that the quality of the DOA estimate depends strongly on the polarization state.…”

Section: Introductionmentioning

confidence: 99%

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

Yuan

2012

EURASIP J. Adv. Signal Process.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

Yuan

2012

EURASIP J. Adv. Signal Process.

Self Cite

View full text Add to dashboard Cite

show abstract

“…For the CLD pairs, the dipoles parallel to the z-axis are referred to as the z-axis dipoles and the loops parallel to the x-y plane as the x-y plane loops, respectively measuring the z-axis electric field components and the z-axis magnetic field components. The CLD pairs' steering vector of the kth (1 ≤ k ≤ K) unit-power electromagnetic source signal is the following 2 × 1 vector [4,26]:…”

Section: Problem Formulationmentioning

confidence: 99%

A Joint Parameter Estimation Method With Conical Conformal CLD Pair Array

Wang¹

2015

PIER C

View full text Add to dashboard Cite

Abstract-A novel direction of arrival (DOA) and polarization estimation method with sparse conical conformal array consisting of concentred loop and dipole (CLD) pairs along the z-axis direction is proposed in this paper. In the algorithm, the DOA and polarization information of incident signals are decoupled through transformation to array steering vectors. According to the array manifold vector relationship between electric dipoles and magnetic loops, the signal polarization parameters are given. The phase differences between reference element and elements on upper circular ring are acquired from the steering vectors of upper circular ring, it can be used to give rough but unambiguous estimates of DOA. The phase differences are also used as coarse references to disambiguate the cyclic phase ambiguities in phase differences between two array elements on lower circular ring. Without spectral peak searching and parameter matching, this method has the advantage of small amount of calculation. Finally, simulation results verify the effectiveness of the algorithm.

show abstract

“…It is very difficult to calculate a coarse DOA estimation [33] from the estimated steering vectorb(u k , f k , g k , h k ) of an orthogonally oriented and spatially separated dipole-triad due to the spatial phase factor d(θ, f). Therefore, the conventional disambiguation method [6,32] using the coarse estimation as a reference to disambiguate the cyclically ambiguous estimation cannot be used.…”

Section: Virtual Fine-coarse Estimate Fitting For Disambiguationmentioning

confidence: 99%

“…whereû (h,l) Using the closed-form formulas of the azimuth-elevation DOA estimation from the array manifold of a spatially collocated dipole-triad from [33], the virtual coarse azimuth-elevation DOA estimation can be expressed as (see (21)) where q (h,l)…”

Section: Virtual Fine-coarse Estimate Fitting For Disambiguationmentioning

confidence: 99%

See 1 more Smart Citation

Direction of arrival estimation with a sparse uniform array of orthogonally oriented and spatially separated dipole‐triads

Chen

2014

IET Radar, Sonar & Navigation

View full text Add to dashboard Cite

The problem of multiple incident signals' direction of arrival (DOA) estimation for spatially separated polarisation sensitive array (SS-PSA) is studied. The proposed SS-PSA is a sparse uniform array with orthogonally oriented and spatially separated dipole-triads. The proposed array can reduce the array mutual coupling by using the spatially separated polarised antenna instead of conventional spatially collocated polarised antenna. Moreover, the DOA estimation accuracy can be improved greatly due to the extended aperture offered by sparse array. Computer simulation results verify the effectiveness of the proposed algorithm.

show abstract

Various Compositions to Form a Triad of Collocated Dipoles/Loops, for Direction Finding and Polarization Estimation

Cited by 61 publications

References 26 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 Joint Parameter Estimation Method With Conical Conformal CLD Pair Array

Direction of arrival estimation with a sparse uniform array of orthogonally oriented and spatially separated dipole‐triads

Contact Info

Product

Resources

About