Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping

Aladsani, Mohammed; Alkhateeb, Ahmed; Trichopoulos, Georgios C.

doi:10.1109/icassp.2019.8682741

Cited by 59 publications

(47 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond

et al. 2019

Self Cite

View full text Add to dashboard Cite

Frequencies from 100 GHz to 3 THz are promising bands for the next generation of wireless communication systems because of the wide swaths of unused and unexplored spectrum. These frequencies also offer the potential for revolutionary applications that will be made possible by new thinking, and advances in devices, circuits, software, signal processing, and systems. This paper describes many of the technical challenges and opportunities for wireless communication and sensing applications above 100 GHz, and presents a number of promising discoveries, novel approaches, and recent results that will aid in the development and implementation of the sixth generation (6G) of wireless networks, and beyond. This paper shows recent regulatory and standard body rulings that are anticipating wireless products and services above 100 GHz and illustrates the viability of wireless cognition, hyper-accurate position location, sensing, and imaging. This paper also presents approaches and results that show how long distance mobile communications will be supported to above 800 GHz since the antenna gains are able to overcome airinduced attenuation, and present methods that reduce the computational complexity and simplify the signal processing used in adaptive antenna arrays, by exploiting the Special Theory of Relativity to create a cone of silence in over-sampled antenna arrays that improve performance for digital phased array antennas. Also, new results that give insights into power efficient beam steering algorithms, and new propagation and partition loss models above 100 GHz are given, and promising imaging, array processing, and position location results are presented. The implementation of spatial consistency at THz frequencies, an important component of channel modeling that considers minute changes and correlations over space, is also discussed. This paper offers the first in-depth look at the vast applications of THz wireless products and applications and provides approaches for how to reduce power and increase performance across several problem domains, giving early evidence that THz techniques are compelling and available for future wireless communications. INDEX TERMS mmWave, millimeter wave, 5G, D-band, 6G, channel sounder, propagation measurements, Terahertz (THz), array processing, imaging, scattering theory, cone of silence, digital phased arrays, digital beamformer, signal processing for THz, position location, channel modeling, THz applications, wireless cognition, network offloading. I. INTRODUCTION The tremendous funding and research efforts invested in millimeter wave (mmWave) wireless communications, and The associate editor coordinating the review of this manuscript and approving it for publication was Thomas Kuerner. the early success of 5G trials and testbeds across the world, ensure that commercial widespread 5G wireless networks will be realized by 2020 [1]. The use of mmWave in 5G wireless communication will solve the spectrum shortage in current 4G cellular communication systems that operate

show abstract

Section: Precise Positioningmentioning

confidence: 99%

Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…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%

Map-Assisted Millimeter Wave Localization for Accurate Position Location

Kanhere¹,

Ju²,

Xing³

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

Accurate precise positioning at millimeter wave frequencies is possible due to the large available bandwidth that permits precise on-the-fly time of flight measurements using conventional air interface standards. In addition, narrow antenna beamwidths may be used to determine the angles of arrival and departure of the multipath components between the base station and mobile users. By combining accurate temporal and angular information of multipath components with a 3-D map of the environment (that may be built by each user or downloaded a-priori), robust localization is possible, even in non-line-of-sight environments. In this work, we develop an accurate 3-D ray tracer for an indoor office environment and demonstrate how the fusion of angle of departure and time of flight information in concert with a 3-D map of a typical large office environment provides a mean accuracy of 12.6 cm in line-of-sight and 16.3 cm in non-line-of-sight, over 100 receiver distances ranging from 1.5 m to 24.5 m using a single base station. We show how increasing the number of base stations improves the average non-line-of-sight position location accuracy to 5.5 cm at 21 locations with a maximum propagation distance of 24.5 m.

show abstract

“…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%

5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion

Kim

Granström

Gao

et al. 2020

IEEE Trans. Wireless Commun.

134

143

View full text Add to dashboard Cite

5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station (BS) and vehicles are equipped with large antenna arrays. However, radiobased positioning suffers from multipath signals generated by different types of objects in the physical environment. Multipath can be turned into a benefit, by building up a radio map (comprising the number of objects, object type, and object state) and using this map to exploit all available signal paths for positioning. Building such a map is challenging, due to the inherent data association uncertainty, missed detection, and clutter. We propose a new method for cooperative vehicle positioning and mapping of the radio environment in order to address these challenges. The proposed method comprises a multimodel probability hypothesis density (PHD) filter and a map fusion routine, which is able to consider different types of objects and different fields of views (FoVs). Simulation results demonstrate that the proposed method handles the aforementioned challenges, and improves the vehicle positioning and mapping performance.

show abstract

Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping

Cited by 59 publications

References 16 publications

Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond

Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond

Map-Assisted Millimeter Wave Localization for Accurate Position Location

5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion

Contact Info

Product

Resources

About