A System Concept for Online Calibration of Massive MIMO Transceiver Arrays for Communication and Localization

Gröschel, Patrick; Zarei, Shahram; Carlowitz, Christian; Lipka, Melanie; Sippel, Erik; Ali, Arshad; Weigel, Robert; Schober, Robert; Vossiek, Martin

doi:10.1109/tmtt.2017.2663404

Cited by 28 publications

(6 citation statements)

References 33 publications

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“…The main problem in UHF-RFID applications is the poor transmitter-to-receiver isolation. A bistatic MIMO scenario, such as in [33], leads to a strong interfering signal in the receive path by means of the close distance from the Tx-to the Rx-antennas. To improve the performance of the reader and alleviate distance effects, the first stage in the RF-receive path after the antenna is a carrier suppression circuit as presented in [23], [34]- [38].…”

Section: System Architecture a Uhf-rfid Listener Architecturementioning

confidence: 99%

Novel UHF-RFID Listener Hardware Architecture and System Concept for a Mobile Robot Based MIMO SAR RFID Localization

et al. 2021

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In this paper, we introduce an ultra-high frequency radio frequency identification (UHF-RFID) mobile robot platform that is capable of performing fully autonomous inventory taking and stocktaking by providing three-dimensional (3D) product maps and thus making possible the concept of a smart warehouse. The proposed novel hardware architecture consists of an eight-channel UHF-RFID-listener for parallel signal phase recovery, including two different carrier leakage suppression circuits and a correlation decoder for each channel for the tag signal, which can handle a backscatter link frequency (BLF) deviation of up to 22 % to decode the tag data. The system also uses eight parallel channels for multiple-input multiple-output (MIMO) localization. For the system evaluation we labeled clothes stored in a warehouse with tags and generated their product map. The proposed localization algorithm is based on a synthetic aperture radar (SAR) MIMO approach that needs exact knowledge of the antenna positions and, therefore, of the driven trajectory. This position is provided by the robot, which takes advantage of a simultaneous localization and mapping (SLAM) algorithm, determining the position with 1 cm accuracy while generating two-dimensional (2D) maps of the surroundings. We placed ten tags at known positions to assess the system's performance and were able to locate these tags within a root mean square error (RMSE) of 1.45 cm in 3D.

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Section: System Architecture a Uhf-rfid Listener Architecturementioning

confidence: 99%

Novel UHF-RFID Listener Hardware Architecture and System Concept for a Mobile Robot Based MIMO SAR RFID Localization

et al. 2021

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“…In practice, it is inevitable to have impairments of the antenna elements, which are typically time-varying, e.g., due to temperature changes or hardware aging [39]. Therefore, the array response may be severely impacted.…”

Section: Nmse Comparison When There Are Hardware Impairmentsmentioning

confidence: 99%

On Matrix Completion-Based Channel Estimators for Massive MIMO Systems

Ding

Yang

et al. 2019

Symmetry

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Large-scale symmetric arrays such as uniform linear arrays (ULA) have been widely used in wireless communications for improving spectrum efficiency and reliability. Channel state information (CSI) is critical for optimizing massive multiple-input multiple-output(MIMO)-based wireless communication systems. The acquisition of CSI for massive MIMO faces challenges such as training shortage and high computational complexity. For millimeter wave MIMO systems, the low-rankness of the channel can be utilized to address the challenge of training shortage. In this paper, we compared several channel estimation schemes based on matrix completion (MC) for symmetrical arrays. Performance and computational complexity are discussed and compared. By comparing the performance in different scenarios, we concluded that the generalized conditional gradient with alternating minimization (GCG-Alt) estimator provided a low-cost, robust solution, while the alternating direction method of multipliers (ADMM)-based hybrid methods achieved the best performance when the array response was perfectly known.

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“…Conventional channel estimators, such as the least square (LS) estimator, demand a large number of training resources, which can be impractical for hybrid systems. In the meantime, adopting large-scale antenna array usually needs online calibration because of the array-inherent impairments due to mutual coupling, manufacture flaws, etc [10], [11], [12]. Such impairments are typically timevarying, e.g., due to temperature changes or hardware aging [12].…”

Section: Introductionmentioning

confidence: 99%

“…In the meantime, adopting large-scale antenna array usually needs online calibration because of the array-inherent impairments due to mutual coupling, manufacture flaws, etc [10], [11], [12]. Such impairments are typically timevarying, e.g., due to temperature changes or hardware aging [12]. The actual antenna element's position may deviate from its designed position and the gains of different antenna elements may be unequal.…”

Section: Introductionmentioning

confidence: 99%

Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments

Tong

et al. 2018

IEEE Access

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Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave (mmWave) communications. Channel estimators that require knowledge of the array response, such as those using compressive sensing (CS) methods, may suffer from performance degradation when array-inherent impairments bring unknown phase errors and gain errors to the antenna elements. In this paper, we design matrix completion (MC)based channel estimation schemes which are robust against the array-inherent impairments. We first design an open-loop training scheme that can sample entries from the effective channel matrix randomly and is compatible with the phase shifter-based hybrid system. Leveraging the low-rank property of the effective channel matrix, we then design a channel estimator based on the generalized conditional gradient (GCG) framework and the alternating minimization (AltMin) approach. The resulting estimator is immune to array-inherent impairments and can be implemented to systems with any array shapes for its independence of the array response. In addition, we extend our design to sample a transformed channel matrix following the concept of inductive matrix completion (IMC), which can be solved efficiently using our proposed estimator and achieve similar performance with a lower requirement of the dynamic range of the transmission power per antenna. Numerical results demonstrate the advantages of our proposed MC-based channel estimators in terms of estimation performance, computational complexity and robustness against array-inherent impairments over the orthogonal matching pursuit (OMP)-based CS channel estimator. Index TermsChannel estimation, mmWave communication, hybrid system, matrix completion, array-inherent impairments The authors are with the

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A System Concept for Online Calibration of Massive MIMO Transceiver Arrays for Communication and Localization

Cited by 28 publications

References 33 publications

Novel UHF-RFID Listener Hardware Architecture and System Concept for a Mobile Robot Based MIMO SAR RFID Localization

Novel UHF-RFID Listener Hardware Architecture and System Concept for a Mobile Robot Based MIMO SAR RFID Localization

On Matrix Completion-Based Channel Estimators for Massive MIMO Systems

Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments

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