In-Field Calibration of Antennas or Antenna Arrays Using Wavefield Modeling

Pöhlmann, Robert; Zhang, Siwei; Dammann, Armin

doi:10.1109/ieeeconf44664.2019.9048975

Cited by 2 publications

(3 citation statements)

References 18 publications

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“…The reason is that in the unknown channel case, the absolute amplitude and phase of the antenna response are not observable. DoA estimation relies on relative amplitudes and phases, therefore absolute offsets do no harm [52]. Still, the VOLUME 10, 2022 non-observability of absolute amplitude and phase implies that by in-situ antenna calibration, instead of the true antenna response, only an antenna response which is equivalent for DoA estimation can be estimated.…”

Section: A: With Priormentioning

confidence: 99%

“…As discussed in the last section, these two eigenvalues correspond to the non-observable absolute amplitude and phase. In the case without prior, the two eigenvalues would be zero, hence the pseudoinverse must be applied in ( 50) and (52). Having discussed the sampling matrix EBIM, we now want to assess the BCRB behavior qualitatively to gain some insight into the problem at hand.…”

Section: A: With Priormentioning

confidence: 99%

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Bayesian In-Situ Calibration of Multiport Antennas for DoA Estimation: Theory and Measurements

et al. 2022

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The DoA of radio waves is used for many applications, e.g. the localization of autonomous robots and smart vehicles. Estimating the DoA is possible with a multiport antenna, e.g. an antenna array or a multi-mode antenna (MMA). In practice, DoA estimation performance decisively depends on accurate knowledge of the antenna response, which makes antenna calibration vital. As the antenna surroundings influence its response, it is necessary to measure the entire device with installed antenna to obtain the installed antenna response. Antenna calibration is often done in a dedicated measurement chamber, which can be inconvenient and costly, especially for larger devices. Thus, auto-and in-situ calibration methods aim at making antenna calibration in a measurement chamber redundant. However, existing auto-and in-situ calibration methods are restricted to certain antenna types and certain calibrations. In this paper, we propose a Bayesian in-situ calibration algorithm based on a maximum a posteriori (MAP) estimator, which is suitable for arbitrary multiport antennas. The algorithm uses received signals from a transmitter, noisy external DoA observations, takes multipath propagation into account and does not require synchronization. Furthermore, we take an estimation theoretic perspective and provide an in-depth theoretical discussion of in-situ antenna calibration in unknown propagation conditions based on Bayesian information and the Bayesian Cramér-Rao bound (BCRB). Extensive simulations show that the proposed algorithm operates close to the BCRB and the achieved DoA estimation performance asymptotically approaches the case of a perfectly known antenna response. Finally, we provide an experimental validation, where we calibrate the antenna on a robotic rover and evaluate the DoA estimation performance using measurement data. With the proposed in-situ antenna calibration algorithm, DoA estimation performance is considerably improved compared to using an antenna response obtained by simulation or in a measurement chamber.

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Section: A: With Priormentioning

confidence: 99%

Section: A: With Priormentioning

confidence: 99%

Bayesian In-Situ Calibration of Multiport Antennas for DoA Estimation: Theory and Measurements

et al. 2022

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“…Moreover, the methods are limited to phased arrays. A first approach generalizing infield calibration is presented in [12]. However, an exact DoA reference is required and the work is based on simulation only.…”

Section: Introductionmentioning

confidence: 99%

In-Field Calibration of a Multi-Mode Antenna for DoA Estimation

Pöhlmann

Staudinger

Zhang

et al. 2021

2021 15th European Conference on Antennas and Propagation (EuCAP)

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State-of-the-art radio localization methods often rely on estimating the signal direction-of-arrival (DoA) or directionof-departure (DoD). This requires careful calibration of the antenna, including surrounding structure, in a measurement chamber. Alternatively, auto-calibration algorithms can be used for certain types of phased arrays. However, they cannot correct all model errors and cannot be applied to other types of multiport antennas like multi-mode antennas (MMAs) or collocated antennas. In this paper, we present a maximum a posteriori (MAP) in-field calibration algorithm based on wavefield modeling and manifold separation for arbitrary multiport antennas. The algorithm is evaluated using measurements of a four-port MMA mounted on a rover. A significant performance gain for DoA estimation using in-field calibration is achieved compared to calibration in a chamber.

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In-Field Calibration of Antennas or Antenna Arrays Using Wavefield Modeling

Cited by 2 publications

References 18 publications

Bayesian In-Situ Calibration of Multiport Antennas for DoA Estimation: Theory and Measurements

Bayesian In-Situ Calibration of Multiport Antennas for DoA Estimation: Theory and Measurements

In-Field Calibration of a Multi-Mode Antenna for DoA Estimation

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