Joint DOA estimation and phase calibration of linear equispaced (LES) arrays

Wylie, Margaret; Roy, S.; Messer, H.

doi:10.1109/78.340779

Cited by 66 publications

(32 citation statements)

References 10 publications

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“…This is due to the array uncalibration and the receiver carrier phase offsets. A method to remove it consists in averaging (in space) the antenna signals as proposed in [3] under the assumption that the receiver phases are independent with zero mean so that M/2 i=1Φ (i) = 0. This is a reasonable approach if the number of sensors is large.…”

Section: A Impairment Compensationmentioning

confidence: 99%

“…The performance of the estimator can be severely affected by the presence of hardware impairments. Some of these impairments have been considered in the literature among which the array uncalibration that causes a phase ambiguity [3]- [4], the imperfect knowledge of the array position [5], the mutual coupling of the array elements [6]. However, there are also other impairments that need to be taken into account as the presence of offsets among the emitter and the receiver carrier frequency, and the presence of a DC bias.…”

Section: Introductionmentioning

confidence: 96%

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DoA Estimation with Compensation of Hardware Impairments

Inserra

Tonello

2010

2010 IEEE 72nd Vehicular Technology Conference - Fall

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We consider the estimation of the direction of arrival (DoA) in the presence of hardware impairments that include the RF carrier frequency offsets, the phase offsets generated by an uncalibrated array, and the DC offset. The impairments model has been derived from the analysis of a hardware multiple antenna test-bed that uses direct down-conversion RF front-ends. The performance of the proposed algorithm has been investigated both analytically and via simulations. We show that the estimator provides good performance for a wide range of angles and it is robust to the hardware impairments.

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Section: A Impairment Compensationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

DoA Estimation with Compensation of Hardware Impairments

Inserra

Tonello

2010

2010 IEEE 72nd Vehicular Technology Conference - Fall

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“…The autocalibration methods jointly estimate the parameters of DOAs and sensor gain‐phase errors. The methods in , designed for non‐uniform linear array (ULA) with certain conditions , estimate these parameters based on the eigenstructure of (modified) array covariance, where the iterative methods apply to small array perturbations, and the non‐iterative methods apply to a small number of incident signals regardless of the degree of array perturbations. The methods specially designed for ULA or uniform rectangular array (URA) do not need iteration and are capable of handling large perturbations (there is an unidentifiable rotation factor for estimating sensor phase errors and DOAs (see for a ULA case and for a URA case).…”

Section: Introductionmentioning

confidence: 99%

“…Based on smoothed array data, all the high-resolution algorithms can be directly used to solve the DOA estimation problem. For sensor gain-phase uncertainties, there are two categories, the precalibration methods [12,13] [14][15][16][17][18][19][20]. The precalibration methods commonly use auxiliary sources (ASs) with known DOAs.…”

Section: Introductionmentioning

confidence: 99%

DOA estimation of multipath signals in the presence of gain‐phase errors using an auxiliary source

Wang

Xie²,

Wan

2019

IEEJ Transactions Elec Engng

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In this paper, we address the problem of direction‐of‐arrival (DOA) estimation of multipath signals in the presence of gain‐phase uncertainties using an auxiliary source (AS) with uniform rectangular array. Based on the assumption that the waveform of the AS is a known prior, and the signal of the AS impinges on the array without multipath propagation, a two‐step algorithm is proposed to estimate the DOAs along with the fading coefficients and gain‐phase errors. First, a coarse estimation is obtained by extending the traditional spatial smoothing‐based ESPRIT algorithm. Second, in order to overcome the performance deterioration due to a reduction of the effective array aperture, an alternate iterative algorithm is proposed. Meanwhile, the relevant stochastic Cramér‐Rao bound (CRB) is also derived. Simulation results show that the proposed method is capable of approaching the stochastic CRB when the signal–noise ratio (SNR) of the AS is large enough and is greater than the SNR of the unknown source. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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“…In [5]- [6] ,some procedures is developed for unifor linear array(ULA) that calibrates the array by estimating the sensor gain and phase perturbations.The DOA estimation is then based on the estimated perturbations.Although those methods ,especially as [6], are effective to calibrate gain and phase error for ULA,are not suitable for other arrays such as uniform circular array ,nonunifor linear array and so on. Based on the Ref.…”

mentioning

confidence: 99%

A low complexity calibration method of gain and phase error for arrays with arbitrary geometry

Zhang

Tan

2011

2011 International Conference on Multimedia Technology

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Gain and phase error calibration of array elements is important in engineering practice.In this paper , a low complexity calibration method of gain and phase error for arrays with arbitrary geometry was analysised. In the far field,using a single sourec with exact orientation, the method computs the gain and phase error according to the first column of the covariance matrix of received data without eigen value decomposition. The method can obtain the relatively gain and phase errors of each sensor and has low computational burden and high estimation precision without multidimensinal nonlinear search and an iterative procedure.The validness of the method was performed by computer simulation results on 8-element uniform circular array. Keywords-gain and phase error;arrays with arbitrary geometry;low computational burden.I.

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Joint DOA estimation and phase calibration of linear equispaced (LES) arrays

Cited by 66 publications

References 10 publications

DoA Estimation with Compensation of Hardware Impairments

DoA Estimation with Compensation of Hardware Impairments

DOA estimation of multipath signals in the presence of gain‐phase errors using an auxiliary source

A low complexity calibration method of gain and phase error for arrays with arbitrary geometry

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