ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019
DOI: 10.1109/icassp.2019.8682741
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Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping

Abstract: In this work, we propose a novel approach for high accuracy user localization by merging tools from both millimeter wave (mmWave) imaging and communications. The key idea of the proposed solution is to leverage mmWave imaging to construct a high-resolution 3D image of the line-of-sight (LOS) and non-line-of-sight (NLOS) objects in the environment at one antenna array. Then, uplink pilot signaling with the user is used to estimate the angle-of-arrival and time-of-arrival of the dominant channel paths. By projec… Show more

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Cited by 54 publications
(47 citation statements)
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“…Leveraging mmWave imaging and communications for centimeter-level localization is an exciting feature that will likely be incorporated in future portable devices operating above 100 GHz [52]. A simple example of what is possible was illustrated in [50] using an experimental setup, as shown in Fig. 3(a).…”
Section: Precise Positioningmentioning
confidence: 99%
“…Leveraging mmWave imaging and communications for centimeter-level localization is an exciting feature that will likely be incorporated in future portable devices operating above 100 GHz [52]. A simple example of what is possible was illustrated in [50] using an experimental setup, as shown in Fig. 3(a).…”
Section: Precise Positioningmentioning
confidence: 99%
“…Once a 3-D image of the environment was generated, the ToF and AoA of signals reaching the RX were estimated via beamforming techniques, as described in Section I. In [22], the authors assumed that all materials act like perfect reflectors and no rays penetrated the obstructions. Once the total back-traced ray length was equal to distance d, the RX was localized to the end of the ray.…”
Section: Map-based Localizationmentioning
confidence: 99%
“…Once the total back-traced ray length was equal to distance d, the RX was localized to the end of the ray. Over a distance of 2.78 m, the proof of concept built in [22] had an error of 2.6 cm. Although work in [22] assumed that all obstructions were perfect reflectors at 300 GHz, measurements conducted in [3] illustrate that at 140 GHz, the partition loss through glass and dry wall is close to 10 dB, indicating that materials do not act like perfect reflectors at mmWave and sub-THz frequencies.…”
Section: Map-based Localizationmentioning
confidence: 99%
“…In the first category, [7] formulates the SLAM problem using the geometric relation between observations, and a non-Bayesian estimator for the user location and extended Kalman filter for mapping are introduced. MmWave imaging for one single reflected path is utilized in [8]. Both [7], [8] did not consider the unknown number of objects, and the data association uncertainty.…”
Section: Introductionmentioning
confidence: 99%
“…MmWave imaging for one single reflected path is utilized in [8]. Both [7], [8] did not consider the unknown number of objects, and the data association uncertainty.…”
Section: Introductionmentioning
confidence: 99%