Mutual coupling effects and their reduction in wideband direction of arrival estimation

Pasala, K.M.; Friel, E.M.

doi:10.1109/7.328785

Cited by 108 publications

(60 citation statements)

References 10 publications

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“…This has an adverse effect on the estimation of parameters (e.g., DOA). State-of-the-art approaches aim to decouple (or "remove") the effect of mutual coupling from the received data by using proper mutual coupling models [5][6][7][8][9][10][11][12]. Such methods are usually computationally expensive, and sensitive to model mismatch.…”

Section: Introductionmentioning

confidence: 99%

Super nested arrays: Sparse arrays with less mutual coupling than nested arrays

Liu

Vaidyanathan

2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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In array processing, mutual coupling between sensors has an adverse effect on the estimation of parameters (e.g., DOA). Sparse arrays, such as nested arrays, coprime arrays, and minimum redundancy arrays (MRAs), have reduced mutual coupling compared to uniform linear arrays (ULAs). With N denoting the number of sensors, these sparse arrays offer O(N 2 ) freedoms for source estimation because their difference coarrays have O(N 2 )-long ULA segments. These arrays have different shortcomings: coprime arrays have holes in the coarray, MRAs have no closed-form expressions, and nested arrays have relatively large mutual coupling. This paper introduces a new array called the super nested array, which has all the good properties of the nested array, and at the same time reduces mutual coupling significantly. For fixed N , the super nested array has the same physical aperture, and the same hole-free coarray as does the nested array. But the number of sensor pairs with separation λ/2 is significantly reduced. Many theoretical properties are proved and simulations are included to demonstrate the superior performance of these arrays.

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Section: Introductionmentioning

confidence: 99%

Super nested arrays: Sparse arrays with less mutual coupling than nested arrays

Liu

Vaidyanathan

2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…The method of moment (MoM) is used in Refs. [5,6] to calculate the coupling. However, this requires the accurate current distribution or accurate incident direction, which are unknown in practice.…”

Section: Introductionmentioning

confidence: 99%

“…The first kind considers mutual coupling by modifying the DOA algorithm [1]. The other method uses a coupling matrix, based on the electromagnetic method, to relate the received signals with coupling to those without coupling [2][3][4][5][6][7][8]. The method used in this paper belongs to the latter.…”

Section: Introductionmentioning

confidence: 99%

New mutual coupling compensation method and its application in DOA estimation

Wu¹,

Nie

2008

Front. Electr. Electron. Eng. China

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A new mutual coupling compensation method based on a new mutual impedance matrix, as well as its application to dipole arrays, are proposed. This new mutual impedance matrix is deduced by electromotive force (EMF) method, based on the current distribution obtained by the characteristic basis function method. It appears in a concise and explicit formulation that facilitates the numerical calculation. The compensation performance is demonstrated and evaluated through its application in direction of arrival (DOA) estimation. Numerical results show that the proposed method exhibits excellent compensation performance compared with conventional mutual impedance matrix approaches.

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“…Dipole antenna elements are relatively narrow-band, which can result in a severe impedance mismatch when using these elements to perform DOA estimation at different frequencies [6]. Therefore, more complex wire antennas should be used to cover multiple frequencies.…”

Section: An Array Of Dual-band Dipole Antennasmentioning

confidence: 99%

“…This is especially so when platform effects play an important role. In [6][7][8], compensation of the mutual coupling effects in wire antenna arrays is performed by means of simulation data obtained by the Method-ofMoments (MoM), and in [9,10] numerical simulation data from full-wave [EM] solvers is applied to eliminate mutual coupling in planar and conformal arrays. In [11], an estimated current distribution is used to compensate for mutual coupling in arrays consisting of dipole elements and in [12], the mutual coupling is estimated together with the directions of arrival.…”

Section: Introductionmentioning

confidence: 99%

Analytical spherical-mode-based compensation of mutual coupling in uniform circular arrays for direction-of-arrival estimation

Rogier

Bonek

2006

AEU - International Journal of Electronics and Communications

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An analytical circuit model with a limited number of parameters is presented to describe mutual coupling in uniform circular arrays. The model, which is based on a spherical-mode expansion, provides physical insight into the frequency dependence and the dependence on azimuth and elevation angle of the coupling between antenna elements. It is shown that the number of circuit elements, required to describe the open-circuit voltages and the mutual impedances at the different antenna ports, depends on the overall size of the array and not on the spacing between the antenna elements. Based on this observation, an analytical technique is described to derive a coupling matrix representing the mutual coupling effects. Relying on the phase-mode-based circuit elements, dedicated eigenstructure techniques are developed for direction-of-arrival (DOA) estimation with uniform circular arrays. By considering several synthetic reference scenarios, it is shown that even in the presence of severe mutual coupling, root-MUSIC combined with a limited number of phase-mode components gives very robust DOA estimations for the azimuth angle, when all signals are incident on the array from a fixed elevation angle.

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Mutual coupling effects and their reduction in wideband direction of arrival estimation

Cited by 108 publications

References 10 publications

Super nested arrays: Sparse arrays with less mutual coupling than nested arrays

Super nested arrays: Sparse arrays with less mutual coupling than nested arrays

New mutual coupling compensation method and its application in DOA estimation

Analytical spherical-mode-based compensation of mutual coupling in uniform circular arrays for direction-of-arrival estimation

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