Multi-Stage Localization for Massive MIMO 5G Systems

Sellami, Amal; Nasraoui, Leïla; Atallah, Leïla Najjar

doi:10.1109/vtc2020-spring48590.2020.9129099

Cited by 12 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AoA has been used in 5G [138] achieving sub-meter accuracy in simulations. However, AoA highly suffers from multipath [139].…”

Section: ) Angle Of Arrival/departurementioning

confidence: 99%

“…In Massive MIMO (mMIMO), devices have many antennas (up to millions of elements [16]), to allow for different kinds of connectivity improvement. mMIMO has been used in 5G for beamforming [209] allowing very narrow and quickly reconfigurable beams, spatial multiplexing to increase the capacity of individual users, increased diversity gain [210] to achieve a higher reliability and to estimate the AoA in communications [138]. In 6G, with THz frequencies, mMIMO antennas can be very small [211], using advanced fabrication processes with metamaterials.…”

Section: ) Massive Mimomentioning

confidence: 99%

See 1 more Smart Citation

Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and Requirements

Khatib¹,

Álvarez‐Merino²,

Luo-Chen³

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Location will have a central role in Research and Development (R&D) towards 6G networks, both as a service offered by the network (improving the current offering of 5G) and as an input to increasingly location-aware services and network functions. To integrate location into 6G standards, it will be very important to design validation systems such as testbeds, even when the actual technology is not yet commercially available. This paper performs a review of the use cases and their requirements, enabling technologies in 6G, and challenges; and proposes a flexible testbed architecture for performing network location related R&D. This architecture will allow to deploy an evolving infrastructure which will allow early validation of 6G technologies.

show abstract

“…AoA has been used in 5G [138] achieving sub-meter accuracy in simulations. However, AoA highly suffers from multipath [139].…”

Section: ) Angle Of Arrival/departurementioning

confidence: 99%

Section: ) Massive Mimomentioning

confidence: 99%

Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and Requirements

Khatib¹,

Álvarez‐Merino²,

Luo-Chen³

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…AOA-based position estimation in a 5G network was experimentally reported in [ 113 ], where EKF was used at edge cloud for localisation. The research of [ 114 , 115 ] is related to receiver localisation harnessing AOA under 5G MIMO System and beam-formed RSS, respectively.…”

Section: 5g Potentials and Promises For Robot Applicationsmentioning

confidence: 99%

A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives

Kabiri

Cimarelli

Bavle

et al. 2022

Sensors

View full text Add to dashboard Cite

Efficient localisation plays a vital role in many modern applications of Unmanned Ground Vehicles (UGV) and Unmanned Aerial Vehicles (UAVs), which contributes to improved control, safety, power economy, etc. The ubiquitous 5G NR (New Radio) cellular network will provide new opportunities to enhance the localisation of UAVs and UGVs. In this paper, we review radio frequency (RF)-based approaches to localisation. We review the RF features that can be utilized for localisation and investigate the current methods suitable for Unmanned Vehicles under two general categories: range-based and fingerprinting. The existing state-of-the-art literature on RF-based localisation for both UAVs and UGVs is examined, and the envisioned 5G NR for localisation enhancement, and the future research direction are explored.

show abstract

“…In general, the localization methods contain two main categories of two-step localization method and one-step localization method. Algorithms of two-step localization method [11][12][13][14][15][16][17][18][19][20] are commonly composed of two steps: first, each receiver station measures and computes the parameters related to the position of the target. The parameters involved in position include time difference of arrival (TDOA) [11][12][13], angle of arrival (AOA) [14][15][16][17], frequency difference of arrival (FDOA) [18][19][20], etc.…”

Section: Introductionmentioning

confidence: 99%

“…Algorithms of two-step localization method [11][12][13][14][15][16][17][18][19][20] are commonly composed of two steps: first, each receiver station measures and computes the parameters related to the position of the target. The parameters involved in position include time difference of arrival (TDOA) [11][12][13], angle of arrival (AOA) [14][15][16][17], frequency difference of arrival (FDOA) [18][19][20], etc. The second step is to construct equations using the parameters to estimate the position of the target.…”

Section: Introductionmentioning

confidence: 99%

A Fast Direct Position Determination Algorithm for LFM Signal Based on Spectrum Detection

2022

View full text Add to dashboard Cite

For the purpose of simultaneously estimating and locating the linear frequency modulation (LFM) emitter with unknown parameters, an innovative approach, i.e., Fast Direct Position Determination (FDPD), is introduced. The proposed algorithm is based on maximum likelihood estimation (MLE) and spectrum detection. To improve the accuracy and overcome the dramatic complexity of plain maximum likelihood formulation, we further derive the objective function equation of Direct Position Determination (DPD) algorithm and present an enhanced strategy to solve the highly nonlinear optimization problem. By combining the two-step localization method, one-step localization method, and short-time Fourier transform (STFT), our approach realizes jointly estimation of the transmitted signal parameters and emitter localization. Simulation results show that the proposed method is superior compared to the existing DPD, and two-step localization algorithms in terms of localization error and computational complexity, especially for low signal-to-noise ratio (SNR).

show abstract

Multi-Stage Localization for Massive MIMO 5G Systems

Cited by 12 publications

References 9 publications

Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and Requirements

Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and Requirements

A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives

A Fast Direct Position Determination Algorithm for LFM Signal Based on Spectrum Detection

Contact Info

Product

Resources

About