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  • 1.
    Chen, Hui
    et al.
    Chalmers University of Technology, Gothenburg, Sweden.
    Jiang, Fan
    Chalmers University of Technology, Gothenburg, Sweden.
    Ge, Yu
    Chalmers University of Technology, Gothenburg, Sweden.
    Kim, Hyowon
    Chalmers University of Technology, Gothenburg, Sweden.
    Wymeersch, Henk
    Chalmers University of Technology, Gothenburg, Sweden.
    Doppler-Enabled Single-Antenna Localization and Mapping Without Synchronization2022In: 2022 IEEE Global Communications Conference (GLOBECOM): Proceedings: Rio de Janeiro, Brazil 4-8 December 2022, Piscataway: IEEE, 2022, p. 6469-6474Conference paper (Refereed)
    Abstract [en]

    Radio localization is a key enabler for joint communication and sensing in the fifth/sixth generation (SG/6G) communication systems. With the help of multipath components (MPCs), localization and mapping tasks can be done with a singlebase station (BS) and single unsynchronized user equipment (UE) if both of them are equipped with an antenna array. However, the antenna array at the UE side increases the hardware and computational cost, preventing localization functionality. In thiswork we show that with Doppler estimation and MPCs, localization and mapping tasks can be performed even with a single antenna mobile UE. Furthermore, we show that the localization and mapping performance will improve and then saturate ata certain level with an increased UE speed. Both theoretical Cramer-Rao bound analysis and simulation results show the potential of localization under mobility and the effectiveness of the proposed localization algorithm. © 2022 IEEE

  • 2.
    Ge, Yu
    et al.
    Chalmers University of Technology, Gothenburg, Sweden.
    Chen, Hui
    Chalmers University of Technology, Gothenburg, Sweden.
    Jiang, Fan
    Chalmers University of Technology, Gothenburg, Sweden.
    Zhu, Meifang
    Lund University, Lund, Sweden.
    Khosravi, Hedieh
    Lund University, Lund, Sweden.
    Lindberg, Simon
    Qamcom, Gothenburg, Sweden.
    Herbertsson, Hans
    Veoneer, Gothenburg, Sweden.
    Eriksson, Olof
    Veoneer, Gothenburg, Sweden.
    Brunnegård, Oliver
    Veoneer, Gothenburg, Sweden.
    Olsson, Bengt-Erik
    Ericsson Research, Gothenburg, Sweden.
    Hammarberg, Peter
    Ericsson Research, Gothenburg, Sweden.
    Tufvesson, Fredrik
    Chalmers University of Technology, Gothenburg, Sweden.
    Svensson, Lennart
    Chalmers University of Technology, Gothenburg, Sweden.
    Wymeersch, Henk
    Chalmers University of Technology, Gothenburg, Sweden.
    Experimental Validation of Single Base Station 5G mm Wave Positioning: Initial Findings2022Conference paper (Refereed)
    Abstract [en]

    5G cellular networks can utilize millimeter wave signals, and support large bandwidths and large antenna arrays, which provide more geometric-based signals and higher delay and angle resolutions. These merits bring new opportunities in positioning the user with limited infrastructure through the use of combined angle and delay information. However, there are many practical challenges to overcome, in order to have a functioning single base station 5G mmWave positioning system. In this paper, we describe a deployed single base station mmWave positioning system, and provide an example of the measurement data. Furthermore, we perform measurement validation on a limited measurement data set by performing base stationlocalization. Additional evaluations performed on simulation model data provide guidelines on the required size of the data set and receiver antenna configuration, which will be implemented in upcoming measurements. © 2022 International Society of Information Fusion

  • 3.
    Ge, Yu
    et al.
    Chalmers University of Technology, Gothenburg, Sweden.
    Kaltiokallio, Ossi
    Tampere University, Tampere, Finland.
    Chen, Hui
    Chalmers University of Technology, Gothenburg, Sweden.
    Jiang, Fan
    Chalmers University of Technology, Gothenburg, Sweden.
    Talvitie, Jukka
    Tampere University, Tampere, Finland.
    Valkama, Mikko
    Tampere University, Tampere, Finland.
    Svensson, Lennart
    Chalmers University of Technology, Gothenburg, Sweden.
    Wymeersch, Henk
    Chalmers University of Technology, Gothenburg, Sweden.
    Doppler Exploitation in Bistatic mmWave Radio SLAM2022In: 2022 IEEE Global Communications Conference (GLOBECOM): Proceedings: Rio de Janeiro, Brazil 4-8 December 2022, Piscataway: IEEE, 2022, p. 6463-6468Conference paper (Refereed)
    Abstract [en]

    Networks in 5G and beyond utilize millimeter wave (mmWave) radio signals, large bandwidths, and large antenna arrays, which bring opportunities in jointly localizing the user equipment and mapping the propagation environment, termed as simultaneous localization and mapping (SLAM). Existing approaches mainly rely on delays and angles, and ignore the Doppler, although it contains geometric information. In this paper, we study the benefits of exploiting Doppler in SLAM through deriving the posterior Cramér-Rao bounds (PCRBs) and formulating the extended Kalman-Poisson multi-Bernoulli sequential filtering solution with Doppler as one of the involved measurements. Both theoretical PCRB analysis and simulation results demonstrate the efficacy of utilizing Doppler. © 2022 IEEE

  • 4.
    Ge, Yu
    et al.
    Chalmers University of Technology, Göteborg, Sweden.
    Kaltiokallio, Ossi
    Tampere University, Tampere, Finland.
    Kim, Hyowon
    Chalmers University of Technology, Göteborg, Sweden.
    Jiang, Fan
    Chalmers University of Technology, Göteborg, Sweden.
    Talvitie, Jukka
    Tampere University, Tampere, Finland.
    Valkama, Mikko
    Tampere University, Tampere, Finland.
    Svensson, Lennart
    Chalmers University of Technology, Göteborg, Sweden.
    Kim, Sunwoo
    Hanyang University, Seoul, South Korea.
    Wymeersch, Henk
    Chalmers University of Technology, Göteborg, Sweden.
    A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM2022In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 40, no 7, p. 2179-2192Article in journal (Refereed)
    Abstract [en]

    Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the propagation channel. To solve the SLAM problem, existing approaches rely on sigma-point or particle-based approximations, leading to high computational complexity, precluding real-Time execution. We propose a novel low-complexity SLAM filter, based on the Poisson multi-Bernoulli mixture (PMBM) filter. It utilizes the extended Kalman (EK) first-order Taylor series based Gaussian approximation of the filtering distribution, and applies the track-oriented marginal multi-Bernoulli/Poisson (TOMB/P) algorithm to approximate the resulting PMBM as a Poisson multi-Bernoulli (PMB). The filter can account for different landmark types in radio SLAM and multiple data association hypotheses. Hence, it has an adjustable complexity/performance trade-off. Simulation results show that the developed SLAM filter can greatly reduce the computational cost, while it keeps the good performance of mapping and user state estimation. © 1983-2012 IEEE.

  • 5.
    Gong, Zijun
    et al.
    University of Waterloo, Waterloo, Canada.
    Jiang, Fan
    Chalmers University of Technology, Göteborg, Sweden .
    SU, Ruoyu
    Nanjing University of Posts & Telecommunications, Nanjing, China.
    Li, Cheng
    Memorial University of Newfoundland, St. John’s, Canada.
    Smart AUV-Assisted Localization and Time Synchronization of Underwater Acoustic Devices2022In: Smart Ships / [ed] Yang Xiao; Tieshan Li, Boca Raton, Florida: CRC Press, 2022, 1, p. 133-168Chapter in book (Refereed)
    Abstract [en]

    The localization and time synchronization of Underwater Acoustic Devices (UADs) have many potential applications in industry and scientific research. This can be done by deploying location-aware fixed anchors on the sea surface or bottom. However, this solution has poor accuracy and induces huge costs. In recent years, with the surge of Autonomous Underwater Vehicles (AUVs), the possibility of employing smart AUVs as mobile anchors have been extensively discussed. In this chapter, three smart AUV-assisted underwater localization and time synchronization techniques will be introduced, based on ToA (Time of Arrival), Doppler shift, and linear frequency modulated signals. The system model will be presented in detail, and the corresponding algorithms will be briefly discussed. For each of them, some preliminary numerical evaluations are conducted to directly show their performance.

  • 6.
    He, Jiguang
    et al.
    Technology Innovation Institute, Abu Dhabi, United Arab Emirates; University of Oulu, Oulu, Finland.
    Jiang, Fan
    Chalmers University of Technology, Gothenburg, Sweden.
    Keykhosravi, Kamran
    Chalmers University of Technology, Gothenburg, Sweden.
    Kokkoniemi, Joonas
    University of Oulu, Oulu, Finland.
    Wymeersch, Henk
    Chalmers University of Technology, Gothenburg, Sweden.
    Juntti, Markku
    University of Oulu, Oulu, Finland.
    Beyond 5G RIS mmWave Systems: Where Communication and Localization Meet2022In: IEEE Access, E-ISSN 2169-3536, Vol. 10, p. 68075-68084Article in journal (Refereed)
    Abstract [en]

    Upcoming beyond fifth generation (5G) communications systems aim at further enhancing key performance indicators and fully supporting brand-new use cases by embracing emerging techniques, e.g., reconfigurable intelligent surface (RIS), integrated communication, localization, and sensing, and mmWave/THz communications. The wireless intelligence empowered by state-of-the-art artificial intelligence techniques has been widely considered at the transceivers, and now the paradigm is deemed to be shifted to the smart control of radio propagation environment by virtue of RISs. In this paper, we argue that to harness the full potential of RISs, localization and communication must be tightly coupled. This is in sharp contrast to 5G and earlier generations, where localization was a minor additional service. To support this, we first introduce the fundamentals of RIS mmWave channel modeling, followed by RIS channel state information acquisition and link establishment. Then, we deal with the connection between localization and communications, from a separate and joint perspective. © 2013 IEEE

  • 7.
    Jiang, Fan
    et al.
    Halmstad University, School of Information Technology.
    Abrardo, Andrea
    University of Siena, Siena, Italy; CNIT, National Inter-University Consortium for Telecommunications, Parma, Italy.
    Keykhoshravi, Kamran
    Ericsson AB, Gothenburg, Sweden.
    Wymeersch, Henk
    Chalmers University of Technology, Gothenburg, Sweden.
    Dardari, Davide
    CNIT, National Inter-University Consortium for Telecommunications, Parma, Italy University of Bologna, Bologna, Italy.
    Di Renzo, Marco
    Université Paris-Saclay, Gif-sur-Yvette, France.
    Two-Timescale Transmission Design and RIS Optimization for Integrated Localization and Communications2023In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 22, no 12, p. 8587-8602Article in journal (Refereed)
    Abstract [en]

    Reconfigurable intelligent surfaces (RISs) have tremendous potential to boost communication performance, especially when the line-of-sight (LOS) path between the user equipment (UE) and base station (BS) is blocked. To control the RIS, channel state information (CSI) is needed, which entails significant pilot overhead. To reduce this overhead and the need for frequent RIS reconfiguration, we propose a novel framework for integrated localization and communications, where RIS configurations are fixed during location coherence intervals, while BS precoders are optimized every channel coherence interval. This framework leverages accurate location information obtained with the aid of several RISs as well as novel RIS optimization and channel estimation methods. Performance in terms of localization accuracy, channel estimation error, and achievable rate demonstrates the effectiveness of the proposed approach. © 2023 IEEE.

  • 8.
    Keskin, Musa Furkan
    et al.
    Chalmers University of Technology, Gothenburg, Sweden.
    Fascista, Alessio
    University of Salento, Lecce, Italy.
    Jiang, Fan
    Halmstad University, School of Information Technology.
    Coluccia, Angelo
    University of Salento, Lecce, Italy.
    Seco-Granados, Gonzalo
    Universitat Autònoma De Barcelona, Cerdanyola del Valles, Spain.
    Wymeersch, Henk
    Chalmers University of Technology, Gothenburg, Sweden.
    ESPRIT-Oriented Precoder Design for mmWave Channel Estimation2023In: 2023 IEEE International Conference on Communications Workshops (ICC Workshops), IEEE, 2023, p. 903-908Conference paper (Refereed)
    Abstract [en]

    We consider the problem of ESPRIT-oriented precoder design for beamspace angle-of-departure (AoD) estimation in downlink mmWave multiple-input single-output communications. Standard precoders (i.e., directional/sum beams) yield poor performance in AoD estimation, while Cramer-Rao bound-optimized precoders undermine the so-called shift invariance property (SIP) of ESPRIT. To tackle this issue, the problem of designing ESPRIT-oriented precoders is formulated to jointly optimize over the precoding matrix and the SIP-restoring matrix of ESPRIT. We develop an alternating optimization approach that updates these two matrices under unit-modulus constraints for analog beamforming architectures. Simulation results demonstrate the validity of the proposed approach while providing valuable insights on the beampatterns of the ESPRIT-oriented precoders. © 2023 IEEE.

  • 9.
    Keskin, Musa Furkan
    et al.
    Chalmers University of Technology, Gothenburg, Sweden.
    Jiang, Fan
    Chalmers University of Technology, Gothenburg, Sweden.
    Munier, Florent
    Ericsson Research, Gothenburg, Sweden.
    Seco-Granados, Gonzalo
    Universitat Autonoma de Barcelona, Barcelona, Spain.
    Wymeersch, Henk
    Chalmers University of Technology, Gothenburg, Sweden.
    Optimal Spatial Signal Design for mmWave Positioning Under Imperfect Synchronization2022In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 71, no 5, p. 5558-5563Article in journal (Refereed)
    Abstract [en]

    We consider the problem of spatial signal design for multipath-assisted mmWave positioning under limited prior knowledge on the user's location and clock bias. We propose an optimal robust design and, based on the low-dimensional precoder structure under perfect prior knowledge, a codebook-based heuristic design with optimized beam power allocation. Through numerical results, we characterize different position-error-bound (PEB) regimes with respect to clock bias uncertainty and show that the proposed low-complexity codebook-based designs outperform the conventional directional beam codebook and achieve near-optimal PEB performance for both analog and digital architectures. © 1967-2012 IEEE

  • 10.
    Li, Zhixing
    et al.
    Tsinghua University, Beijing, China.
    Jiang, Fan
    Halmstad University, School of Information Technology.
    Wymeersch, Henk
    Chalmers University of Technology, Gothenburg, Sweden.
    Wen, Fuxi
    Tsinghua University, Beijing, China.
    An Iterative 5G Positioning and Synchronization Algorithm in NLOS Environments with Multi-Bounce Paths2023In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 12, no 5, p. 804-808Article in journal (Refereed)
    Abstract [en]

    5G positioning is a very promising area that presents many opportunities and challenges. Many existing techniques rely on multiple anchor nodes and line-of-sight (LOS) paths, or single reference node and single-bounce non-LOS (NLOS) paths. However, in dense multipath environments, identifying the LOS or single-bounce assumptions is challenging. The multi-bounce paths will make the positioning accuracy deteriorate significantly. We propose a robust 5G positioning algorithm in NLOS multipath environments to mitigate the effects of multi-bounce paths. © 2023 IEEE.

  • 11.
    Weng, Shudi
    et al.
    Chalmers University of Technology, Gothenburg, Sweden.
    Jiang, Fan
    Halmstad University, School of Information Technology. Chalmers University of Technology, Gothenburg, Sweden.
    Wymeersch, Henk
    Chalmers University of Technology, Gothenburg, Sweden.
    Wideband mmWave Massive MIMO Channel Estimation and Localization2023In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 12, no 8, p. 1314-1318Article in journal (Refereed)
    Abstract [en]

    Spatial wideband effects are known to affect channel estimation and localization performance in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. Based on perturbation analysis, we show that the spatial wideband effect is in fact more pronounced than previously thought and could significantly degrade performance if not properly considered in the algorithm design, even at moderate bandwidths. We propose a novel channel estimation method based on multidimensional ESPRIT algorithms per subcarrier, combined with unsupervised learning for pairing across subcarriers, which shows significant performance gain over existing schemes under wideband conditions. © 2023 IEEE

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