Joint 2-D DOA Estimation and Phase Calibration for Uniform Rectangular Arrays

Heidenreich, Philipp; Zoubir, Abdelhak M.; Rubsamen, M.

doi:10.1109/tsp.2012.2203125

Cited by 100 publications

(64 citation statements)

References 23 publications

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“…3. Therefore, in the following, by utilizing the special characteristic denoted by (6), which ensures there is no angle ambiguity, we will construct a new matrix R T y to let it have the same matrix structure as the matrix R 2 , to overcome the angle ambiguity problem.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…Single source localization is one of the most important topics in the speech localization [1], mobile phones localization [2][3][4], GPS localization [5], many radar systems [6], etc. Many relevant near-field (NF) and far-field (FF) source localization algorithms [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] for single source have been developed recently, such as these algorithms [2][3][4][5][7][8][9][10][11] for NF single source and those [1,[12][13][14][15][16][17] for FF single source.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Two-Dimensional Angles Estimation Method and Its Improved Methods for Single Source With a Sparse Array

Jiang¹,

Duan²,

Li³

et al. 2014

PIER C

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Abstract-Based on two orthogonal linear sparse arrays (LSA) which consist of the coupled-sensors (CSs), a high resolution and no ambiguity (HRNA) method is proposed to estimate the two-dimensional (2D) angles of single source. The HRNA method first constructs a new covariance matrix to achieve no ambiguity independent angles estimation by using the covariance matrix generated by each LSA, and then computes joint elevation and azimuth angles by utilizing both the estimated independent angles and triangular relationship. For large array aperture of the LSA, the HRNA method earns a high angle resolution; however, its independent angles estimation accuracy is slightly lower than the multiple signal classification (MUSIC) with a uniform linear array (ULA). In order to enhance the independent angle estimation performance, first improved HRNA (FI-HRNA) method is developed based on the HRNA and MUSIC methods. Further, in order to decrease the computational cost, second improved HRNA (SI-HRNA) method is presented based on FI-HRNA and MUSIC methods. The proposed SI-HRNA method obtains high angle resolution, high angle estimation accuracy and low computational load. In addition, the spacing between two adjacent CSs is not limited, and thus the angle resolution and estimation accuracy can be set according to practical demand. Numerical experiment and comparison with the other existing algorithms verify the effectiveness and superior performance of the method proposed in this paper.

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Angles Estimation Method and Its Improved Methods for Single Source With a Sparse Array

Jiang¹,

Duan²,

Li³

et al. 2014

PIER C

View full text Add to dashboard Cite

show abstract

“…Inserting (23) -(26) into (13) - (15) and (17) - (18), we nd that the expressions of (17) and (18) are very complicated. It is very dif cult to derive the PDFs and the variances of the estimations.…”

Section: Estimation Variances At High Snrsmentioning

confidence: 99%

Direction estimation for two steady targets in monopulse radar

Gao

2015

J. of Syst. Eng. Electron.

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Traditional monopulse radar cannot resolve two targets present in one range and Doppler cell by means of the monopulse ratio. A novel algorithm is proposed to estimate the directions of two steady targets with two pulses. The algorithm has a closedform expression and its variance is derived at high signal-to-noise ratios (SNRs). Furthermore, the pulse pair selection criterion and the estimation method with multiple pulses are given. Finally, some numerical results are shown to validate the proposed algorithm and the effect of slight target uctuations is tested.

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“…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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Joint 2-D DOA Estimation and Phase Calibration for Uniform Rectangular Arrays

Cited by 100 publications

References 23 publications

Two-Dimensional Angles Estimation Method and Its Improved Methods for Single Source With a Sparse Array

Two-Dimensional Angles Estimation Method and Its Improved Methods for Single Source With a Sparse Array

Direction estimation for two steady targets in monopulse radar

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

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