Automatic delay and phase mismatch calibration in FMCW MIMO radar

Figueroa, Adrian; Joram, Niko; Ellinger, Frank

doi:10.1109/eurad48048.2021.00109

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…A list of the requirements of the experimental setups described in the references of Table 1 is provided in Table 2. It is also worth mentioning that some calibration methods developed to compensate for the coupling and the phase mismatches of radars already mounted in their final position (e.g., on a vehicle) have been also devised [19], [22], [23]. Such methods do not require a specific experimental setup, and are based on tracking radar movement via a Kalman filter [22] or a MUSIC-like eigendecomposition [19], or on evaluating the mutual coupling between antennas [24] or on maximising the contrast of radar images [23].…”

Section: Introductionmentioning

confidence: 99%

Novel Movement-Based Methods for the Calibration of Colocated Multiple-Input Multiple-Output Radars

Guerzoni,

Faghand,

Vitetta

et al. 2023

IEEE Access

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It is well-known that the availability of transmit and receive arrays in colocated multipleinput multiple-output radar systems can be exploited to detect multiple targets, and estimate their range and angular coordinates. Unluckily, the accuracy achieved in the estimation of target parameters can be severely affected by hardware nonidealities. The impact of these nonidealities can be mitigated through the adoption of specific methods explicitly developed to estimate and compensate for them, i.e., briefly, of calibration methods. As far as we know, until now, most of the calibration techniques proposed in the technical literature for colocated multiple-input multiple-output radars are based on the idea of placing one or more reference targets in front of the considered radar device at perfectly known and fixed locations, and quantifying the difference between the expected radar image and the measured one. In this manuscript, two novel calibration methods are proposed. Both exploit the measurements captured by a colocated multipleinput multiple-output radar device at multiple positions; for this reason, the acquisition of such measurements involves the movement of the radar. Moreover, one of these methods does not require any knowledge about the number, position or radar cross section of the reference targets, provided that all these are in far-field. The other one, instead, requires the use of a single reference target in near-field conditions. The proposed methods are tested on a commercial radar device and compared with a traditional method for radar calibration.

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Section: Introductionmentioning

confidence: 99%

Novel Movement-Based Methods for the Calibration of Colocated Multiple-Input Multiple-Output Radars

Guerzoni,

Faghand,

Vitetta

et al. 2023

IEEE Access

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The Impact of Group Delay Dispersion on Radar Imaging With Multiresonant Antennas

Wittemeier

Sievert

Dedic

et al. 2022

IEEE Microw. Wireless Compon. Lett.

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Radar sensing has become very popular over the last two decades, and research has focused on high-bandwidth and high-resolution systems. Due to the steadily increasing center frequency of front-end circuits, on-chip antennas are the preferred choice over PCB antennas and horn antennas when frequencies get close to THz. However, conventional on-chip antennas are severely limited in bandwidth, leading to increased use of wideband and multiresonant on-chip antennas. Besides a more complex design process of multiresonant antennas, they have the disadvantage of a nonconstant dispersive group delay (GD). This reduces the resolution of sensing systems, such as the range resolution and angular resolution of a radar system. In this work, we show how GD affects the imaging properties of a radar system. The measured S-parameter data from a 240-GHz multiresonant antenna are used to generate synthetic intermediate frequency (IF) signals of a rectangular array. Subsequently, simulated 3-D radar images are generated using the backprojection algorithm. These images are compared with those of a nondispersive imaging system. Finally, two compensation methods using a phase correction method and an all-pass filter are explained, and their performance is compared.

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FMCW Radar Rx Channel Imbalance Estimation via Multiple Targets in the Same R-D Bin

Ghafi,

Lang,

Wagner

et al. 2024

2024 IEEE Radar Conference (RadarConf24)

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Automatic delay and phase mismatch calibration in FMCW MIMO radar

Cited by 4 publications

References 3 publications

Novel Movement-Based Methods for the Calibration of Colocated Multiple-Input Multiple-Output Radars

Novel Movement-Based Methods for the Calibration of Colocated Multiple-Input Multiple-Output Radars

The Impact of Group Delay Dispersion on Radar Imaging With Multiresonant Antennas

FMCW Radar Rx Channel Imbalance Estimation via Multiple Targets in the Same R-D Bin

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