Millimeter wave MIMO channel tracking systems

He, Jiguang; Kim, Taejoon; Ghauch, Hadi; Liu, Kunpeng; Wang, Guangjian

doi:10.1109/glocomw.2014.7063467

Cited by 74 publications

(63 citation statements)

References 12 publications

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“…We approach the joint problem (9) in an iterative fashion within a SOMP framework. The key idea of the PPSOMP solver is as follows: First, we find one of the pre-defined grid points which has highest correlation with the residual measurements and add it to the support set S k .…”

Section: Parameter Perturbed Channel Estimationmentioning

confidence: 99%

Off-Grid Aware Channel and Covariance Estimation in mmWave Networks

Anjinappa

Gürbüz

Yapıcı

et al. 2020

IEEE Trans. Commun.

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Section: Parameter Perturbed Channel Estimationmentioning

confidence: 99%

Off-Grid Aware Channel and Covariance Estimation in mmWave Networks

Anjinappa

Gürbüz

Yapıcı

et al. 2020

IEEE Trans. Commun.

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“…Here, J 0 (·) denotes the zeroth-order Bessel function of first kind and f D is the maximum Doppler frequency. The elevation and azimuth AoDs vary according to [34] µ t+1 = µ t + ∆µ t+1 , φ t+1 = φ t + ∆φ t+1 ,…”

Section: B Wideband Multi-path Channels With Ofdmmentioning

confidence: 99%

High-Resolution Angle Tracking for Mobile Wideband Millimeter-Wave Systems With Antenna Array Calibration

Zhu

Choi

Cheng

et al. 2018

IEEE Trans. Wireless Commun.

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Millimeter-wave (mmWave) systems use directional beams to support high-rate data communications. Small misalignment between the transmit and receive beams (e.g., due to the mobility) can result in significant drop of the received signal quality especially in line-of-sight communication channels. In this paper, we propose and evaluate high-resolution angle tracking strategies for wideband mmWave systems with mobility. We custom design pairs of auxiliary beams as the tracking beams, and use them to capture the angle variations, towards which the steering directions of the data beams are adjusted.Different from conventional beam tracking designs, the proposed framework neither depends on the angle variation model nor requires an on-grid assumption. For practical implementation of the proposed methods, we examine the impact of the array calibration errors on the auxiliary beam pair design.Numerical results reveal that by employing the proposed methods, good angle tracking performance can be achieved under various antenna array configurations, channel models, and mobility conditions.

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“…where the last equality is with (35), and the equality holds if and only if all a H k a k have equal values, i.e.,…”

Section: B MD Probabilitymentioning

confidence: 99%

Omnidirectional Precoding and Combining Based Synchronization for Millimeter Wave Massive MIMO Systems

Meng

Gao

Xia

2018

IEEE Trans. Commun.

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In this paper, we design the precoding matrices at the base station side and the combining matrices at the user terminal side for initial downlink synchronization in millimeter wave massive multipleinput multiple-output systems. First, we demonstrate two basic requirements for the precoding and combining matrices, including that all the entries therein should have constant amplitude under the implementation architecture constraint, and the average transmission power over the total K time slots taking for synchronization should be constant for any spatial direction. Then, we derive the optimal synchronization detector based on generalized likelihood ratio test. By utilizing this detector, we analyze the effect of the precoding and combining matrices to the missed detection probability and the false alarm probability, respectively, and present the corresponding conditions that should be satisfied. It is shown that, both of the precoding and combining matrices should guarantee the perfect omnidirectional coverage at each time slot, i.e., the average transmission power at each time slot is constant for any spatial direction, which is more strict than the second basic requirement mentioned above. We also show that such omnidirectional precoding matrices and omnidirectional combining matrices exist only when both of the number of transmit streams and the number of receive streams are equal to or greater than two. In this case, we propose to utilize Golay complementary pairs and Golay-Hadamard matrices to design the precoding and combining matrices. Simulation results verify the effectiveness of the propose approach. Index TermsMillimeter wave (mmWave), massive multiple-input multiple-output (MIMO), synchronization, Golay complementary pair, Golay-Hadamard matrix X. Meng and X. Q. Gao are with the

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Millimeter wave MIMO channel tracking systems

Cited by 74 publications

References 12 publications

Off-Grid Aware Channel and Covariance Estimation in mmWave Networks

Off-Grid Aware Channel and Covariance Estimation in mmWave Networks

High-Resolution Angle Tracking for Mobile Wideband Millimeter-Wave Systems With Antenna Array Calibration

Omnidirectional Precoding and Combining Based Synchronization for Millimeter Wave Massive MIMO Systems

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