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arxiv: 2604.19723 · v2 · submitted 2026-04-21 · 📡 eess.SP

Coherent Direct Multipath SLAM

Benjamin J. B. Deutschmann , Klaus Witrisal , Erik Leitinger This is my paper

Pith reviewed 2026-05-10 01:24 UTC · model grok-4.3

classification 📡 eess.SP
keywords coherent multipath SLAMD-MIMOXL-MIMOdirect localizationphase coherenceBayesian inferencesurface feature vectorraw RF signals
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The pith

A shared complex mean in the likelihood function enables coherent fusion for direct multipath SLAM in distributed MIMO systems.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper develops a Bayesian method that performs simultaneous localization and mapping directly from raw radio signals by building and using a map of the propagation environment. It addresses degraded performance in indoor and urban settings with heavy multipath and blocked line-of-sight by maintaining phase coherence across distributed base stations or subarrays. The approach uses a likelihood function that shares a complex mean for coherent processing while the variance term handles noncoherent power, integrated with a surface feature vector model that supports near-field effects and visibility. This joint inference aims for high-accuracy localization and scalable processing via GPU parallelism. Simulations show it outperforms noncoherent baselines and approaches the posterior Cramér-Rao lower bound.

Core claim

The central claim is that a phase-preserving nonzero-mean Type-II likelihood function, with a complex mean shared across base stations or subarrays, enables coherent data fusion in direct multipath SLAM for D-MIMO and XL-MIMO systems; when combined with a surface feature vector-based model for environment mapping, it supports robust joint inference of user position and propagation map directly from raw RF signals, with a GPU-parallel implementation for scalability.

What carries the argument

The phase-preserving nonzero-mean Type-II likelihood function that shares a complex mean across distributed base stations or subarrays to enable coherent fusion while variance captures noncoherent signal power, integrated with a surface feature vector (SFV)-based model for map feature fusion across the infrastructure.

If this is right

  • The method achieves performance gains over existing noncoherent multipath SLAM approaches in simulations.
  • Localization accuracy approaches the corresponding posterior CRLB under coherent conditions.
  • High-resolution sensing and localization become feasible using coherent distributed arrays in challenging propagation environments.
  • The GPU-parallel implementation supports scalable processing across large antenna arrays, potentially enabling real-time operation.
  • The surface feature vector model incorporates near-field propagation and visibility effects into the joint map and localization inference.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • If practical phase synchronization across distributed arrays can be achieved in hardware, the approach could extend robust localization to real-world GPS-denied indoor and urban deployments.
  • The coherent fusion technique may connect to array processing methods in radar and communications for combined sensing, mapping, and communication tasks.
  • Hardware experiments with synchronized distributed subarrays would provide a direct test of whether the simulated gains over noncoherent methods hold in physical channels.

Load-bearing premise

Phase coherence is maintained across base stations or subarrays, enabling the shared complex mean in the likelihood function for coherent fusion.

What would settle it

A set of simulations or measurements in which phase coherence across base stations is lost or deliberately broken, checking whether the reported performance gains over noncoherent methods and the approach to the posterior CRLB disappear.

Figures

Figures reproduced from arXiv: 2604.19723 by Benjamin J. B. Deutschmann, Erik Leitinger, Klaus Witrisal.

Figure 1
Figure 1. Figure 1: Factor graph representing the joint posterior PDF from (23). Light blue boxes indicate [PITH_FULL_IMAGE:figures/full_fig_p006_1.png] view at source ↗
Figure 3
Figure 3. Figure 3: Position RMSE ∥pn − pˆn∥ vs. PEB evaluated on synthetic data (left). Cumulative frequency of the position RMSE (right). antennas equally spaced at λ/2. This leads to an observation length Nz = 160. The environment in [PITH_FULL_IMAGE:figures/full_fig_p011_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Mapping error ∥p sfv k,n − pb sfv s,n∥ for k ∈ {1 . . . 4} (left to right) vs. MEB evaluated on synthetic data of experiment 1. Estimates pb sfv s,n and ground truth p sfv k,n were associated using the Hungarian method [53], missed detections and false alarms not evaluated. 0 1 2 3 4 5 Num. paths a) j = 1 b) j = 2 50 100 150 200 0 1 2 3 4 c) j = 3 Step n Num. paths 50 100 150 d) j = 4 Step n true num. vis.… view at source ↗
Figure 5
Figure 5. Figure 5: True number of visible paths in experiment 2 vs. the sum of [PITH_FULL_IMAGE:figures/full_fig_p012_5.png] view at source ↗
read the original abstract

Challenging indoor and urban environments with severe multipath propagation and obstructed LoS (OLoS) degrade classical radio frequency (RF) positioning. Multipath-based simultaneous localization and mapping (MP-SLAM) is a promising remedy, building and exploiting a map of the propagation environment to enhance the robustness. Emerging distributed multiple-input multiple-output (D-MIMO)/extremely large-scale MIMO (XL-MIMO) infrastructures, with single XL antenna arrays or distributed subarrays, offer large spatial apertures and enable high-resolution sensing, in particular when phase coherence is maintained across base stations (BSs), subarrays, or distributed arrays. In this work, we propose a scalable Bayesian direct MP-SLAM method for coherent data fusion in D-MIMO/XL-MIMO systems that jointly infers the environment while performing robust, high-accuracy localization directly from raw RF signals. The key idea is a phase-preserving nonzero-mean Type-II likelihood function in which a complex mean is shared across BSs or subarrays and enables coherent fusion, while the variance captures noncoherent signal power. The likelihood function is combined with a surface feature vector (SFV)-based model that enables map feature fusion across the distributed infrastructure and supports near-field propagation and visibility effects. A GPU-parallel implementation enables highly scalable processing across a distributed infrastructure and particles, possibly allowing real-time calculations for large antenna arrays. Simulation results demonstrate performance gains over existing noncoherent methods and approach the corresponding posterior CRLB (PCRLB), highlighting the potential of coherent distributed arrays for high-resolution sensing and localization.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript proposes a scalable Bayesian direct multipath SLAM (MP-SLAM) method for coherent data fusion in D-MIMO/XL-MIMO systems. It introduces a phase-preserving nonzero-mean Type-II likelihood function sharing a complex mean across base stations or subarrays to enable coherent fusion, combined with a surface feature vector (SFV) model that supports map feature fusion, near-field propagation, and visibility effects. A GPU-parallel particle implementation is described for scalability across distributed infrastructure. Simulation results are presented showing performance gains over noncoherent baselines and proximity to the corresponding posterior CRLB (PCRLB).

Significance. If the simulation outcomes are robust, the work demonstrates the value of phase coherence in distributed arrays for high-resolution RF sensing and localization in multipath environments. The coherent likelihood construction and SFV-based distributed mapping provide a principled way to fuse raw signals across infrastructure while handling near-field effects, with the parallel implementation addressing practical scalability. This could inform design of emerging XL-MIMO systems for indoor/urban applications.

major comments (2)
  1. [Simulation results] Simulation results section: The central performance claims (gains over noncoherent methods and approach to PCRLB) rest on simulations, but the manuscript lacks reported details on the number of Monte Carlo trials, error bars or variance estimates, and any data exclusion rules. These are load-bearing for assessing whether the results reliably support the coherent-fusion advantage.
  2. [Likelihood construction] Likelihood construction (around the nonzero-mean Type-II model): The shared complex mean enables coherent fusion only under maintained phase coherence across BSs/subarrays; the paper should include a sensitivity analysis or bound on phase synchronization errors, as this assumption directly underpins the reported performance gap versus noncoherent baselines.
minor comments (2)
  1. [Abstract] The abstract and introduction could explicitly state the array sizes, number of BSs, and carrier frequency used in the simulations to allow readers to contextualize the reported gains.
  2. [SFV model] Notation for the SFV model and visibility effects could be clarified with a small diagram or explicit mapping to the likelihood parameters.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the positive assessment and constructive comments, which will help improve the manuscript. We address each major comment below.

read point-by-point responses

  1. Referee: Simulation results section: The central performance claims (gains over noncoherent methods and approach to PCRLB) rest on simulations, but the manuscript lacks reported details on the number of Monte Carlo trials, error bars or variance estimates, and any data exclusion rules. These are load-bearing for assessing whether the results reliably support the coherent-fusion advantage.

    Authors: We agree that these details are essential for evaluating the reliability of the simulation results. In the revised manuscript we will report the exact number of Monte Carlo trials, include error bars (or standard deviation estimates) on all performance curves, and explicitly state any data exclusion criteria applied during post-processing. These additions will be placed in the simulation setup subsection and figure captions. revision: yes

  2. Referee: Likelihood construction (around the nonzero-mean Type-II model): The shared complex mean enables coherent fusion only under maintained phase coherence across BSs/subarrays; the paper should include a sensitivity analysis or bound on phase synchronization errors, as this assumption directly underpins the reported performance gap versus noncoherent baselines.

    Authors: The model is derived under the assumption of phase coherence, which is required for the shared complex mean to provide the reported gains. We acknowledge that practical synchronization errors could reduce this advantage. In the revision we will add a short analytical bound on tolerable phase mismatch (derived from the likelihood function) together with a brief discussion of its implications; a full Monte-Carlo sensitivity study is left for future work as it would exceed the scope of a minor revision. revision: partial

Circularity Check

0 steps flagged

No significant circularity detected in derivation chain

full rationale

The paper's core derivation uses a standard Bayesian framework with a nonzero-mean Type-II likelihood for coherent fusion across distributed arrays and an SFV model for map features and near-field effects. These are combined with GPU-parallel particle filtering and benchmarked against the independent posterior CRLB. No steps reduce predictions to fitted parameters by construction, no self-definitional loops appear, and no load-bearing self-citations or imported uniqueness theorems are quoted that collapse the central claims. The approach is self-contained relative to external theoretical bounds and simulation comparisons.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

Limited information from abstract only; method rests on domain assumptions about coherence and feature modeling with no free parameters or invented entities explicitly listed.

axioms (2)
  • domain assumption Phase coherence maintained across BSs or subarrays
    Required for shared complex mean in likelihood to enable coherent fusion
  • domain assumption SFV-based model accurately represents map features, near-field propagation, and visibility effects
    Used to support feature fusion across distributed infrastructure

pith-pipeline@v0.9.0 · 5580 in / 1279 out tokens · 44588 ms · 2026-05-10T01:24:43.543361+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

166 extracted references · 166 canonical work pages · 2 internal anchors

  1. [1]

    2023 , volume=

    Leitinger, Erik and Venus, Alexander and Teague, Bryan and Meyer, Florian , journal=IEEE_J_SP, title=. 2023 , volume=

    work page 2023

  2. [2]

    Meyer and T

    F. Meyer and T. Kropfreiter and J. L. Williams and R. Lau and F. Hlawatsch and P. Braca and M. Z. Win , title =. doi:10.1109/JPROC.2018.2789427 , issn =

    work page doi:10.1109/jproc.2018.2789427 2018

  3. [3]

    An Approach of Directly Tracking Multiple Objects , doi =

    Liang, Mingchao and Meyer, Florian , booktitle =. An Approach of Directly Tracking Multiple Objects , doi =

    work page

  4. [4]

    Scalable multitarget tracking using multiple sensors: A belief propagation approach , year=

    Meyer, Florian and Braca, Paolo and Willett, Peter and Hlawatsch, Franz , booktitle=. Scalable multitarget tracking using multiple sensors: A belief propagation approach , year=

    work page

  5. [5]

    doi:10.1109/TSP.2025.3552747 , journal = IEEE_J_SP, year =

    Mingchao Liang and Erik Leitinger and Florian Meyer , title =. doi:10.1109/TSP.2025.3552747 , journal = IEEE_J_SP, year =

    work page doi:10.1109/tsp.2025.3552747 2025

  6. [6]

    Mingchao Liang and Erik Leitinger and Florian Meyer , title =

    work page

  7. [7]

    A Belief Propagation Approach for Direct Multipath-Based

    Liang, Mingchao and Leitinger, Erik and Meyer, Florian , booktitle =. A Belief Propagation Approach for Direct Multipath-Based

    work page

  8. [8]

    , title =

    Grebien, Stefan and Leitinger, Erik and Witrisal, Klaus and Fleury, Bernard H. , title =. doi:10.1109/TWC.2024.3371352 , number =

    work page doi:10.1109/twc.2024.3371352 2024

  9. [9]

    Wielandner and A

    L. Wielandner and A. Venus and T. Wilding and K. Witrisal and E. Leitinger , booktitle =. doi:10.23919/FUSION59988.2024.10706374 , address =

    work page doi:10.23919/fusion59988.2024.10706374 2024

  10. [10]

    Lukas Wielandner and Alexander Venus and Thomas Wilding and Erik Leitinger , title =. J. Adv. Inf. Fusion , month =

    work page

  11. [11]

    doi:10.1109/TSP.2024.3493603 , journal = IEEE_J_SP, month =

    Jakob M\"oderl and Franz Pernkopf and Klaus Witrisal and Erik Leitinger , title =. doi:10.1109/TSP.2024.3493603 , journal = IEEE_J_SP, month =

    work page doi:10.1109/tsp.2024.3493603 2024

  12. [12]

    Hansen, T. L. and B. H. Fleury and B. D. Rao , title =. 2018 , volume =

    work page 2018

  13. [13]

    T. L. A sparse. Proc. IEEE SAM 2014 , year =. doi:10.1109/SAM.2014.6882422 , issn =

    work page doi:10.1109/sam.2014.6882422 2014

  14. [14]

    A Block-Sparse

    Jakob M\"oderl and Anders Malte Westerkam and Alexander Venus and Erik Leitinger , booktitle =. A Block-Sparse

    work page

  15. [15]

    D. P. Wipf and B. D. Rao , title =. IEEE Trans. Signal Process. , year =

    work page

  16. [17]

    doi:10.1109/TSP.2026.3654026 , pages =

    Wei, Shaoxiu and Liang, Mingchao and Meyer, Florian , title =. doi:10.1109/TSP.2026.3654026 , pages =

    work page doi:10.1109/tsp.2026.3654026 2026

  17. [18]

    arXiv , primaryclass =

    Alexander Venus and Erik Leitinger and Klaus Witrisal , title =. arXiv , primaryclass =. 2512.22393 , archiveprefix =

    work page arXiv

  18. [19]

    ornson, Emil and G\

    Kolomvakis, Nikolaos and Bj\"ornson, Emil and G\"oransson, Bo and Larsson, Erik G. , booktitle =. Over-the-Air Amplitude and Phase Reciprocity Calibration for Distributed. doi:10.1109/PIMRC62392.2025.11274876 , pages =

    work page doi:10.1109/pimrc62392.2025.11274876 2025

  19. [21]

    IEEE Open J

    Venus, Alexander and Leitinger, Erik and Tertinek, Stefan and Witrisal, Klaus , title =. IEEE Open J. of Signal Process. , month =. doi:10.1109/OJSP.2023.3338113 , pages =

    work page doi:10.1109/ojsp.2023.3338113 2023

  20. [22]

    A Belief Propagation Algorithm for Multipath-Based

    Li, Xuhong and Cai, Xuesong and Leitinger, Erik and Tufvesson, Fredrik , booktitle =. A Belief Propagation Algorithm for Multipath-Based. doi:10.1109/ICCWorkshops59551.2024.10615625 , pages =

    work page doi:10.1109/iccworkshops59551.2024.10615625 2024

  21. [23]

    A Belief Propagation Algorithm for Multipath-Based

    E. A Belief Propagation Algorithm for Multipath-Based. doi:10.1109/TWC.2019.2937781 , issn =

    work page doi:10.1109/twc.2019.2937781 2019

  22. [24]

    Joint Localization, Synchronization and Mapping via Phase-Coherent Distributed Arrays , doi =

    Fascista. Joint Localization, Synchronization and Mapping via Phase-Coherent Distributed Arrays , doi =

    work page

  23. [25]

    and Jost, T

    Gentner, C. and Jost, T. and Wang, W. and Zhang, S. and Dammann, A. and Fiebig, U. C. , title =. doi:10.1109/TWC.2016.2578336 , issn =

    work page doi:10.1109/twc.2016.2578336 2016

  24. [26]

    Leitinger, L

    E. Leitinger, L. and Wielandner and A. Venus and K. Witrisal , booktitle =. Multipath-based

    work page

  25. [27]

    2022 , month =

    Kim, Hyowon and Granstrom, Karl and Svensson, Lennart and Kim, Sunwoo and Wymeersch, Henk , title =. 2022 , month =

    work page 2022

  26. [28]

    doi:10.1109/JSAC.2022.3155504 , pages =

    Ge, Yu and Kaltiokallio, Ossi and Kim, Hyowon and Jiang, Fan and Talvitie, Jukka and Valkama, Mikko and Svensson, Lennart and Kim, Sunwoo and Wymeersch, Henk , title =. doi:10.1109/JSAC.2022.3155504 , pages =

    work page doi:10.1109/jsac.2022.3155504 2022

  27. [29]

    and Kim, Hyowon and Talvitie, Jukka and Valkama, Mikko and Wymeersch, Henk and Svensson, Lennart , title =

    Ge, Yu and Kaltiokallio, Ossi and Xia, Yuxuan and Garcia-Fernandez, Angel F. and Kim, Hyowon and Talvitie, Jukka and Valkama, Mikko and Wymeersch, Henk and Svensson, Lennart , title =. doi:10.1109/TSP.2025.3567916 , pages =

    work page doi:10.1109/tsp.2025.3567916 2025

  28. [30]

    2020 , volume =

    Zhang, Siwei and Staudinger, Emanuel and Jost, Thomas and Wang, Wei and Gentner, Christian and Dammann, Armin and Wymeersch, Henk and Hoeher, Peter Adam , title =. 2020 , volume =

    work page 2020

  29. [31]

    Rusek and D

    F. Rusek and D. Persson and B. K. Lau and E. G. Larsson and T. L. Marzetta and O. Edfors and F. Tufvesson , title =. 2013 , volume =

    work page 2013

  30. [32]

    Super-Resolution

    H. Super-Resolution. 2019 , volume =

    work page 2019

  31. [33]

    2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) , pages =

    Impact of Rough Surface Scattering on Stochastic Multipath Component Models , author =. 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) , pages =

    work page 2018

  32. [34]

    1993 , publisher=

    Fundamentals of Statistical Signal Processing: Estimation Theory , author=. 1993 , publisher=

    work page 1993

  33. [35]

    Benjamin J. B. Deutschmann and Thomas Wilding and Maximilian Graber and Klaus Witrisal , year = 2023, month = may, booktitle =

    work page 2023

  34. [36]

    Fascista, Alessio and Deutschmann, Benjamin J. B. and Keskin, Musa Furkan and Wilding, Thomas and Coluccia, Angelo and Witrisal, Klaus and Leitinger, Erik and Seco-Granados, Gonzalo and Wymeersch, Henk , booktitle=. Uplink Joint Positioning and Synchronization in Cell-Free Deployments with. 2023 , volume=

    work page 2023

  35. [37]

    Balanis, Constantine A , month = may, year = 2005, publisher =

    work page 2005

  36. [38]

    Pozar, David M , edition =

    work page

  37. [39]

    Classical Electrodynamics

    Jackson, John David. Classical Electrodynamics

    work page

  38. [40]

    Wilding, Thomas and Deutschmann, Benjamin J. B. and Nelson, Christian and Li, Xuhong and Tufvesson, Fredrik and Witrisal, Klaus , booktitle=. Propagation Modeling for Physically Large Arrays: Measurements and Multipath Component Visibility , year=

    work page

  39. [41]

    and Medeiros, Carla R

    Costa, Jorge R. and Medeiros, Carla R. and Fernandes, Carlos A. , doi =. Performance of a Crossed Exponentially Tapered Slot Antenna for

    work page

  40. [42]

    Marzetta and Erik G

    Thomas L. Marzetta and Erik G. Larsson and Hong Yang and Hien Quoc Ngo , title =

    work page

  41. [43]

    Deutschmann, Benjamin J. B. and Graber, Maximilian and Wilding, Thomas and Witrisal, Klaus , booktitle=. Bistatic. 2023 , volume=

    work page 2023

  42. [44]

    and Viberg, M

    Krim, H. and Viberg, M. , journal=IEEE_M_SP, title=. 1996 , volume=

    work page 1996

  43. [45]

    On the concentrated stochastic likelihood function in array signal processing , volume =

    Stoica, Petre and Nehorai, Arye , year =. On the concentrated stochastic likelihood function in array signal processing , volume =. Circuits, Systems, and Signal Processing , publisher =. doi:10.1007/bf01213963 , number =

    work page doi:10.1007/bf01213963

  44. [46]

    The integrated sensing and communication revolution for 6g: Vision, techniques, and applications,

    Gonz\'alez-Prelcic, Nuria and Furkan Keskin, Musa and Kaltiokallio, Ossi and Valkama, Mikko and Dardari, Davide and Shen, Xiao and Shen, Yuan and Bayraktar, Murat and Wymeersch, Henk , title =. doi:10.1109/JPROC.2024.3397609 , number =

    work page doi:10.1109/jproc.2024.3397609 2024

  45. [47]

    doi:10.1109/TWC.2026.3665431 , pages =

    Xu, Yingjie and Sandra, Michiel and Cai, Xuesong and Willhammar, Sara and Tufvesson, Fredrik , title =. doi:10.1109/TWC.2026.3665431 , pages =

    work page doi:10.1109/twc.2026.3665431 2026

  46. [48]

    M. E. Tipping and A. C. Faul , Booktitle =. Fast Marginal Likelihood Maximisation for Sparse. 2003 , Editor =

    work page 2003

  47. [49]

    Phase-Coherent

    Tentu, Venkatesh and Wymeersch, Henk and Keskin, Musa Furkan and Dey, Sauradeep and Svensson, Tommy , booktitle =. Phase-Coherent. doi:10.1109/JCS69321.2026.11366009 , pages =

    work page doi:10.1109/jcs69321.2026.11366009 2026

  48. [50]

    Low-latency

    Dumitra Iancu and Liang Liu and Ove Edfors and Erik Leitinger and Xuhong Li , booktitle =. Low-latency

    work page

  49. [51]

    Near-Field Tracking With Large Antenna Arrays:

    Guerra, Anna and Guidi, Francesco and Dardari, Davide and Djuri. Near-Field Tracking With Large Antenna Arrays:. doi:10.1109/TSP.2021.3101696 , pages =

    work page doi:10.1109/tsp.2021.3101696 2021

  50. [52]

    Joint Near-Field Sensing and Visibility Region Detection with Extremely Large Aperture Arrays , doi =

    Huang, Huiping and Pourafzal, Alireza and Chen, Hui and Keskin, Musa Furkan and Li, Mengting and Ge, Yu and Tufvesson, Fredrik and Wymeersch, Henk and Cai, Xuesong , booktitle =. Joint Near-Field Sensing and Visibility Region Detection with Extremely Large Aperture Arrays , doi =

    work page

  51. [53]

    doi:10.1109/TSP.2018.2795547 , number =

    Hu, Sha and Rusek, Fredrik and Edfors, Ove , title =. doi:10.1109/TSP.2018.2795547 , number =

    work page doi:10.1109/tsp.2018.2795547 2018

  52. [54]

    Christoph Krall , title =

    work page

  53. [55]

    , title =

    Wu, Xiaohuan and Qiu, Jin and Sun, Ji and Liu, Wei and Zhang, Haiyang and Eldar, Yonina C. , title =. doi:10.1109/TSP.2026.3654842 , pages =

    work page doi:10.1109/tsp.2026.3654842 2026

  54. [57]

    doi:10.1109/TSP.2024.3479319 , pages =

    Xu, Wenkang and Liu, An and Zhao, Min-jian and Caire, Giuseppe , title =. doi:10.1109/TSP.2024.3479319 , pages =

    work page doi:10.1109/tsp.2024.3479319 2024

  55. [58]

    Pozrikidis, C

    An Introduction to Grids, Graphs, and Networks , author = "Pozrikidis, C.", year=

    work page

  56. [59]

    2010 , volume=

    Gustafsson, Fredrik , journal= IEEE_M_AES, title=. 2010 , volume=

    work page 2010

  57. [60]

    Accurate Direct Positioning in Distributed

    Deutschmann, Benjamin and Nelson, Christian and Henriksson, Mikael and Marti, Gian and Kosasih, Alva and Tervo, Nuutti and Leitinger, Erik and Tufvesson, Fredrik , booktitle=. Accurate Direct Positioning in Distributed. 2024 , volume=

    work page 2024

  58. [61]

    and Selen, Yngve , journal=IEEE_J_SP, title=

    Larsson, Erik G. and Selen, Yngve , journal=IEEE_J_SP, title=. 2007 , volume=

    work page 2007

  59. [62]

    Ozdogan, \

    \"Ozdogan, \"Ozgecan and Bj\"ornson, Emil and Larsson, Erik G. , journal=IEEE_J_COM, title=. 2019 , volume=

    work page 2019

  60. [63]

    2012 , month = nov, publisher =

    Kaare Brandt Petersen and Michael Syskind Pedersen , title =. 2012 , month = nov, publisher =

    work page 2012

  61. [64]

    Flordelis. Massive. 2018 , volume=

    work page 2018

  62. [65]

    2018 , volume=

    Neumann, David and Wiese, Thomas and Utschick, Wolfgang , journal=IEEE_J_SP, title=. 2018 , volume=

    work page 2018

  63. [66]

    2021 , volume=

    Kim, Hwanjin and Kim, Sucheol and Lee, Hyeongtaek and Jang, Chulhee and Choi, Yongyun and Choi, Junil , journal=IEEE_J_COM, title=. 2021 , volume=

    work page 2021

  64. [67]

    , booktitle=

    Thoota, Sai Subramanyam and Vieira, Joao and Larsson, Erik G. , booktitle=. Data-Driven Robust Beamforming for Initial Access , year=

    work page

  65. [68]

    Time prediction of non flat fading channels , year=

    Palleit, Nico and Weber, Tobias , booktitle=. Time prediction of non flat fading channels , year=

    work page

  66. [69]

    , booktitle=

    Kashyap, Salil and Mollén, Christopher and Björnson, Emil and Larsson, Erik G. , booktitle=. Performance analysis of (. 2017 , volume=

    work page 2017

  67. [70]

    Regilane L

    Paiva, A. Regilane L. and Freitas, Walter C. and Antonioli, Roberto P. and Silva, Yuri C. B. and Fodor, Gábor , journal=IEEE_J_VC, title=. 2025 , volume=

    work page 2025

  68. [71]

    1999 , publisher=

    Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerospace, and Virtual Reality , author=. 1999 , publisher=

    work page 1999

  69. [72]

    and Marrs, A.D

    Hernandez, M.L. and Marrs, A.D. and Gordon, N.J. and Maskell, S.R. and Reed, C.M. , booktitle=. 2002 , volume=

    work page 2002

  70. [73]

    2002 , publisher=

    Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory , author=. 2002 , publisher=

    work page 2002

  71. [74]

    2026 , journal = IEEE_M_WC, note =

    Physically Large Apertures for Wireless Power Transfer: Performance and Regulatory Aspects , author=. 2026 , journal = IEEE_M_WC, note =

    work page 2026

  72. [75]

    2024 , volume=

    Fesl, Benedikt and Baur, Michael and Strasser, Florian and Joham, Michael and Utschick, Wolfgang , journal=IEEE_J_WCOML, title=. 2024 , volume=

    work page 2024

  73. [76]

    Reverse Ordering Techniques for Attention-Based Channel Prediction , year=

    Rizzello, Valentina and Böck, Benedikt and Joham, Michael and Utschick, Wolfgang , journal=. Reverse Ordering Techniques for Attention-Based Channel Prediction , year=

    work page

  74. [77]

    Towards Practical

    Arnold, Maximilian and Dörner, Sebastian and Cammerer, Sebastian and Hoydis, Jakob and ten Brink, Stephan , booktitle=. Towards Practical. 2019 , volume=

    work page 2019

  75. [78]

    2023 , volume=

    Löschenbrand, David and Hofer, Markus and Zemen, Thomas , journal=IEEE_J_WCOML, title=. 2023 , volume=

    work page 2023

  76. [79]

    Pattern Recognition and Machine Learning

    Bishop, Christopher M. Pattern Recognition and Machine Learning

    work page

  77. [80]

    2005 , organization=

    Estimation of radio channel parameters: Models and algorithms , author=. 2005 , organization=

    work page 2005

  78. [81]

    2004 , volume=

    Loeliger, Hans-Andrea , journal=IEEE_M_SP, title=. 2004 , volume=

    work page 2004

  79. [82]

    2015 , organization=

    Navigation and Tracking in Networks: Distributed Algorithms for Cooperative Estimation and Information-Seeking Control , author=. 2015 , organization=

    work page 2015

  80. [83]

    2025 , eprint=

    Geometry-Based Channel Estimation, Prediction, and Fusion , author=. 2025 , eprint=

    work page 2025

Showing first 80 references.