Sensor Gain-Phase Error and Position Perturbation Estimation Using an Auxiliary Source in an Unknown Direction

Zheng DAI; Weimin SU; Hong GU

doi:10.1587/transcom.2020EBP3119

Sensor Gain-Phase Error and Position Perturbation Estimation Using an Auxiliary Source in an Unknown Direction

Zheng DAI, Weimin SU, Hong GU

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In this paper, we propose an active calibration algorithm to tackle both gain-phase errors and position perturbations. Unlike many other active calibration methods, which fix the array while changing the location of the source, our approach rotates the array but does not change the location of the source, and knowledge of the direction-of-arrival (DOA) of the far-field calibration source is not required. The superiority of the proposed method lies in the fact that measurement of the direction of a far-field calibration source is not easy to carry out, while measurement of the rotation angle via the proposed calibration strategy is convenient and accurate. To obtain the receiving data from different directions, the sensor array is rotated to three different positions with known rotation angles. Based on the eigen-decomposition of the data covariance matrices, we can use the direction of the auxiliary source to represent the gain-phase errors and position perturbations. After that, we estimate the DOA of the calibration source by a one-dimensional search. Finally, the sensor gain-phase errors and position perturbations are calculated by using the estimated direction of the calibration source. Simulations verify the effectiveness and performance of the algorithm.

Publication: IEICE TRANSACTIONS on Communications Vol.E104-B No.6 pp.639-646

Publication Date: 2021/06/01

Publicized: 2020/12/03

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2020EBP3119

Type of Manuscript: PAPER

Category: Antennas and Propagation

Authors

Zheng DAI
  Nanjing University of Science and Technology
Weimin SU
  Nanjing University of Science and Technology
Hong GU
  Nanjing University of Science and Technology

Keyword

DOA estimation, sensor gain-phase errors, sensor position perturbations, calibration source

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Zheng DAI, Weimin SU, Hong GU, "Sensor Gain-Phase Error and Position Perturbation Estimation Using an Auxiliary Source in an Unknown Direction" in IEICE TRANSACTIONS on Communications, vol. E104-B, no. 6, pp. 639-646, June 2021, doi: 10.1587/transcom.2020EBP3119.
Abstract: In this paper, we propose an active calibration algorithm to tackle both gain-phase errors and position perturbations. Unlike many other active calibration methods, which fix the array while changing the location of the source, our approach rotates the array but does not change the location of the source, and knowledge of the direction-of-arrival (DOA) of the far-field calibration source is not required. The superiority of the proposed method lies in the fact that measurement of the direction of a far-field calibration source is not easy to carry out, while measurement of the rotation angle via the proposed calibration strategy is convenient and accurate. To obtain the receiving data from different directions, the sensor array is rotated to three different positions with known rotation angles. Based on the eigen-decomposition of the data covariance matrices, we can use the direction of the auxiliary source to represent the gain-phase errors and position perturbations. After that, we estimate the DOA of the calibration source by a one-dimensional search. Finally, the sensor gain-phase errors and position perturbations are calculated by using the estimated direction of the calibration source. Simulations verify the effectiveness and performance of the algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3119/_p

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@ARTICLE{e104-b_6_639,
author={Zheng DAI, Weimin SU, Hong GU, },
journal={IEICE TRANSACTIONS on Communications},
title={Sensor Gain-Phase Error and Position Perturbation Estimation Using an Auxiliary Source in an Unknown Direction},
year={2021},
volume={E104-B},
number={6},
pages={639-646},
abstract={In this paper, we propose an active calibration algorithm to tackle both gain-phase errors and position perturbations. Unlike many other active calibration methods, which fix the array while changing the location of the source, our approach rotates the array but does not change the location of the source, and knowledge of the direction-of-arrival (DOA) of the far-field calibration source is not required. The superiority of the proposed method lies in the fact that measurement of the direction of a far-field calibration source is not easy to carry out, while measurement of the rotation angle via the proposed calibration strategy is convenient and accurate. To obtain the receiving data from different directions, the sensor array is rotated to three different positions with known rotation angles. Based on the eigen-decomposition of the data covariance matrices, we can use the direction of the auxiliary source to represent the gain-phase errors and position perturbations. After that, we estimate the DOA of the calibration source by a one-dimensional search. Finally, the sensor gain-phase errors and position perturbations are calculated by using the estimated direction of the calibration source. Simulations verify the effectiveness and performance of the algorithm.},
keywords={},
doi={10.1587/transcom.2020EBP3119},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Sensor Gain-Phase Error and Position Perturbation Estimation Using an Auxiliary Source in an Unknown Direction
T2 - IEICE TRANSACTIONS on Communications
SP - 639
EP - 646
AU - Zheng DAI
AU - Weimin SU
AU - Hong GU
PY - 2021
DO - 10.1587/transcom.2020EBP3119
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2021
AB - In this paper, we propose an active calibration algorithm to tackle both gain-phase errors and position perturbations. Unlike many other active calibration methods, which fix the array while changing the location of the source, our approach rotates the array but does not change the location of the source, and knowledge of the direction-of-arrival (DOA) of the far-field calibration source is not required. The superiority of the proposed method lies in the fact that measurement of the direction of a far-field calibration source is not easy to carry out, while measurement of the rotation angle via the proposed calibration strategy is convenient and accurate. To obtain the receiving data from different directions, the sensor array is rotated to three different positions with known rotation angles. Based on the eigen-decomposition of the data covariance matrices, we can use the direction of the auxiliary source to represent the gain-phase errors and position perturbations. After that, we estimate the DOA of the calibration source by a one-dimensional search. Finally, the sensor gain-phase errors and position perturbations are calculated by using the estimated direction of the calibration source. Simulations verify the effectiveness and performance of the algorithm.
ER -