Phase Recovery in Sensor Networks Based on Incoherent Repeater Elements

Werbunat, David; Meinecke, Benedikt; Steiner, Maximilian; Waldschmidt, Christian

doi:10.1109/ims30576.2020.9223910

Cited by 4 publications

(7 citation statements)

References 9 publications

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“…( 4) shows that a separation of targets is only possible if they are located in different range cells. The separation of ACT targets at radar operation is not limited to FMCW operations, as shown here [30] for orthogonal frequency-division multiplexing (OFDM) operation.…”

Section: Target Detection For Active Calibration Targetsmentioning

confidence: 99%

“…All targets are ideally located at the same distance towards the rotation center of the positioning system. For the determination of the phases of the ACTs, 2f mod is additionally employed at each ACT [30]. It can be seen that in addition to the actual intended target responses, undesired targets appear from harmonics and intermodulation products.…”

Section: B Signal Separation In Case Of Multiple Actsmentioning

confidence: 99%

See 1 more Smart Citation

Highly Efficient Calibration of Antenna Arrays by Active Targets in the Near-Field

Linder¹,

Meinecke²,

Halici³

et al. 2023

IEEE Open J. Antennas Propag.

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To enhance the capabilities of high-resolution imaging or beamforming, the trend goes towards arrays with high-channel count and large aperture sizes. The operation at increasing mm-wave frequencies exacerbates the consequences of manufacturing tolerances on the array performance, further necessitating the development of high-quality calibrations. Thereby, a large number of array response vectors, addressed in the following as data points, is stored. Typically, one data point is measured at a time for each angle. To reduce the calibration effort, hereby defined as the number of required measurements, a calibration setup employing active calibration targets (ACT) is proposed. This setup allows the storage of a multitude of data points within a single measurement. In addition, this measurement setup is placed in the near-field of the array to relax the requirements on the size of the anechoic chamber. Employing multiple targets makes it challenging to compensate the near-field effects. Therefore, methods are discussed to ensure a consistent quality of the calibration considering the near-field influences from the ACTs. Exemplary measurements deploying an antenna array operating at 78.5 GHz demonstrate that this calibration measurement setup employing three ACTs placed in the near-field of the array reduces the calibration effort by a factor of 3 compared to state-of-the-art setups. The average deviation of the antenna phase relations amounts to 4.1 degree, proving that the presented setup achieves the same calibration quality as state-of-the-art setups.INDEX TERMS calibration, direction-of-arrival (DoA) estimation, imaging radar, MIMO radar, phased arrays, radar measurements.

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Section: Target Detection For Active Calibration Targetsmentioning

confidence: 99%

Section: B Signal Separation In Case Of Multiple Actsmentioning

confidence: 99%

Highly Efficient Calibration of Antenna Arrays by Active Targets in the Near-Field

Linder¹,

Meinecke²,

Halici³

et al. 2023

IEEE Open J. Antennas Propag.

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show abstract

“…Due to the double path to and from the repeater via the same target, the bistatic single-target peaks are located approximately at twice the range and the velocity as the monostatic peak from the same target. Those single-target peaks contain the information about the path difference caused by the repeater position and the angle of the target, which may be exploited for a network based angle estimation [1], [2], [3], as well as the velocity difference due to the target's instantaneous velocity [8]. Therefore, these are the Rv-peaks wanted for further processing.…”

Section: A Single-target Peaksmentioning

confidence: 99%

“…Signal evaluation is performed exclusively at the radar, which results in simple hardware. Furthermore, phase coherency as well as cancellation of transmit (Tx) and receive (Rx) phase noise can be achieved without any hardware link between the network nodes, and even a phase based DoA estimation based on the large aperture of the network can be performed [1], [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Ghost-Target Suppression in Coherent Radar Networks

Werbunat¹,

Schweizer²,

Meinecke³

et al. 2022

2021 18th European Radar Conference (EuRAD)

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Coherent radar-repeater networks offer great opportunities, e.g. in network-based direction of arrival (DoA) estimation. However, due to the special bistatic signal path with two reflections at the targets, the bistatic measurements are affected by additional ghost targets. The de-ghosting algorithm presented in this work not only allows for a mitigation of this additional ghost-targets but also the identification of unwanted clutter peaks. Thus, it enables the efficient exploitation of the network's possibilities, as verified by measurements.

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“…A promising realization of a coherent sensor network is the radar-repeater network as presented in [1], [3], [4]. It combines one MIMO radar with several repeater nodes.…”

Section: Introductionmentioning

confidence: 99%

Multiplexing of OFDM-Based Radar Networks

Werbunat¹,

Sgroi²,

Knill³

et al. 2021

2021 IEEE Radar Conference (RadarConf21)

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Radar networks offer the opportunity of enhancing the radar sensing performance beyond the inherent limitations of single multiple-input multiple-output (MIMO) radars. Different locations of the individual sensor nodes allow for diverse observation angles on the targets. Moreover, in case of a coherent network, such as radar-repeater networks, the direction of arrival (DoA) capabilities are increased. However, a crucial point in exploiting the full potential of a sensor network is the separability of the signals originating from the different sensor nodes during operation, while preserving reasonable radar sensing performance of the individual sensors and the network. In this paper multiplexing methods for an orthogonal frequencydivision multiplexing (OFDM)-based radar network are proposed and investigated. The first method combines traditional time and frequency multiplexing, while the second method applies a random assignment in combination with a compressed sensingbased signal evaluation. Both methods are compared with the traditional FDM multiplexing for MIMO-OFDM. For this purpose, performance criteria are proposed and the concepts are evaluated based on measurements and simulations.

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Phase Recovery in Sensor Networks Based on Incoherent Repeater Elements

Cited by 4 publications

References 9 publications

Highly Efficient Calibration of Antenna Arrays by Active Targets in the Near-Field

Highly Efficient Calibration of Antenna Arrays by Active Targets in the Near-Field

Ghost-Target Suppression in Coherent Radar Networks

Multiplexing of OFDM-Based Radar Networks

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