Reducing the Array Size for Doa Estimation by an Antenna Mode Switch Technique

Cheng, Shu Hui; Lee, Kun-Chou

doi:10.2528/pier12062203

Cited by 15 publications

(23 citation statements)

References 30 publications

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“…After comparing (6), (8) and (19), (20), one can easily find R z =R zT (21) and thus similar to (1), (21) can be obtained as…”

Section: Array Aperture Extensionmentioning

confidence: 99%

“…[1]. For the 1D and 2D angles estimation of the far-field (FF) sources, many algorithms [2][3][4][5][6][7][8][9][10][11] have been proposed. However, when a source is in the Fresnel region of the array aperture [2][3][4][5], those algorithms in [2][3][4][5][6][7][8][9][10][11] will fail to locate sources.…”

Section: Introductionmentioning

confidence: 99%

“…For the 1D and 2D angles estimation of the far-field (FF) sources, many algorithms [2][3][4][5][6][7][8][9][10][11] have been proposed. However, when a source is in the Fresnel region of the array aperture [2][3][4][5], those algorithms in [2][3][4][5][6][7][8][9][10][11] will fail to locate sources. Therefore, for the NF source localization issue, some other algorithms [12][13][14][15][16][17][18][19][20][21][22][23][24][25] are also developed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Localization of 3d Near-Field Source Using the Aperture Extension Method and Nonuniform Cross Array

Jiang¹,

Duan²,

Li³

et al. 2013

PIER B

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Abstract-Depending on the aperture extension (AE), a high performance three-dimensional (3D) near-field (NF) source localization algorithm is proposed with the nonuniform linear array (NLA). The proposed algorithm first generates some fictitious sensors to extend the array aperture by constructing a new Toeplitz matrix, and then obtains a two-dimensional (2D) covariance matrix which only contains the elevation angle and range parameters, and another 3D covariance matrix which contains the elevation/azimuth angle and range parameters. Then based on the 2D covariance matrix, both the elevation angle and range parameters are estimated by using the NLA along the Z axis. With the estimates of both the elevation angle and range parameters and combining the 3D covariance matrix, the estimates of the azimuth angle parameters are obtained using the NLA along the Y axis. The proposed algorithm has four main merits: i) unlike some classical NF source localization algorithms, the quarter-wavelength sensor spacing constraint is not required and more sources can be located simultaneously by the proposed algorithm; ii) the 3D parameters of the proposed algorithm are paired automatically; iii) the 3D search required in conventional 3D multiple signal classification (MUSIC) algorithm is replaced with only one-dimensional (1D) search, and thus the computational burden is reduced; iv) the proposed algorithm gains superior parameter estimation accuracy and resolution.

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“…After comparing (6), (8) and (19), (20), one can easily find R z =R zT (21) and thus similar to (1), (21) can be obtained as…”

Section: Array Aperture Extensionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Localization of 3d Near-Field Source Using the Aperture Extension Method and Nonuniform Cross Array

Jiang¹,

Duan²,

Li³

et al. 2013

PIER B

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“…Taking into account real measurement conditions and imperfections of the measurement equipment such as geometrical inaccuracies in the manufacturing of the rectangular array and reflections in antenna feed cables and connectors, the ANN model is able to eliminate errors due to these effects. Also, it does not need additional calibration of the receiving array to minimize mutual couplings between array elements [36][37][38][39]. This is a very important feature of the proposed model as the presence of mutual coupling distorts phase vectors of radiation sources and the eigenstructure of the covariance matrix.…”

Section: Introductionmentioning

confidence: 99%

Efficient Neural Network Approach for 2d Doa Estimation Based on Antenna Array Measurements

Agatonovic¹,

Stankovic²,

Milovanović³

et al. 2013

PIER

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Abstract-In this paper, we present an efficient Artificial Neural Network (ANN)-based model to estimate both azimuth and elevation arrival angles of a signal source. To achieve this goal, the ANN model is constructed using measurement data obtained by a rectangular antenna array in the space-frequency domain. Unlike classical superresolution algorithms such as 2D MUSIC, the proposed model is capable to account for imperfections of measurement equipment as well as mutual couplings between array elements. The neural model has been verified for several angular positions and frequencies. It is shown that the use of ANN model to estimate angular positions of a signal source yields more accurate results when compared to 2D MUSIC. Moreover, the neural model significantly outperforms 2D MUSIC in terms of speed of computation.

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“…Angleof-arrival (AOA) estimation [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] and beamforming [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38] have been main research topics of the array signal processing. Note that array signal processing can also be applied to radar signal processing [39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Efficient Implementation of the Capon Beamforming Using the Levenberg-Marquardt Scheme for Two Dimensional Aoa Estimation

Cho¹,

Lee²

2013

PIER

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Abstract-In this paper, we adopt the Levenberg-Marquardt (LM) algorithm to implement the nonlinear multivariable optimization for azimuth/elevation angle-of-arrival (AOA) estimation based on the Capon beamforming algorithm. The formulation is based on the fact that the cost function of the Capon algorithm can be expressed in a least-squares form. The performance in terms of the root mean square error (RMSE) and the computational complexity is illustrated via numerical results.

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Reducing the Array Size for Doa Estimation by an Antenna Mode Switch Technique

Cited by 15 publications

References 30 publications

Localization of 3d Near-Field Source Using the Aperture Extension Method and Nonuniform Cross Array

Localization of 3d Near-Field Source Using the Aperture Extension Method and Nonuniform Cross Array

Efficient Neural Network Approach for 2d Doa Estimation Based on Antenna Array Measurements

Efficient Implementation of the Capon Beamforming Using the Levenberg-Marquardt Scheme for Two Dimensional Aoa Estimation

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