| 1. |
- Chen, Hui, 1992, et al.
(author)
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Doppler-Enabled Single-Antenna Localization and Mapping Without Synchronization
- 2022
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In: GLOBECOM - IEEE Global Telecommunications Conference. ; , s. 6469-6474
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Conference paper (peer-reviewed)abstract
- Radio localization is a key enabler for joint communication and sensing in the fifth/sixth generation (5G/6G) communication systems. With the help of multipath components (MPCs), localization and mapping tasks can be done with a single base 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 this work, we show that with Doppler estimation and MPCs, localization and mapping tasks can be performed even with a singleantenna mobile UE. Furthermore, we show that the localization and mapping performance will improve and then saturate at a certain level with an increased UE speed. Both theoretical Cram´er-Rao bound analysis and simulation results show the potential of localization under mobility and the effectiveness of the proposed localization algorithm.
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| 2. |
- Ge, Yu, 1995, et al.
(author)
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5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
- 2020
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In: Sensors. - : MDPI AG. - 1424-8220. ; 20:16, s. 1-31
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Journal article (peer-reviewed)abstract
- 5G communication systems operating above 24 GHz have promising properties for user localization and environment mapping. Existing studies have either relied on simplified abstract models of the signal propagation and the measurements, or are based on direct positioning approaches, which directly map the received waveform to a position. In this study, we consider an intermediate approach, which consists of four phases-downlink data transmission, multi-dimensional channel estimation, channel parameter clustering, and simultaneous localization and mapping (SLAM) based on a novel likelihood function. This approach can decompose the problem into simpler steps, thus leading to lower complexity. At the same time, by considering an end-to-end processing chain, we are accounting for a wide variety of practical impairments. Simulation results demonstrate the efficacy of the proposed approach.
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| 3. |
- Ge, Yu, 1995, et al.
(author)
-
5G SLAM with Low-complexity Channel Estimation
- 2021
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In: 15th European Conference on Antennas and Propagation, EuCAP 2021.
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Conference paper (peer-reviewed)abstract
- 5G millimeter-wave signals are beneficial for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment. Channel estimators can exploit received signals to estimate multipath components in terms of delays and angles, which can be used in localization and mapping. Thus, a good channel estimator is essential for 5G SLAM. This paper presents a novel low-complexity multidimensional ESPRIT-based channel estimator and applies it to a 5G SLAM framework. Simulation results demonstrate that the proposed channel estimator can accurately estimate channel information with low computational cost, with limited impact on mapping performance, compared to a tensor-ESPRIT benchmark.
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| 4. |
- Ge, Yu, 1995, et al.
(author)
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A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM
- 2022
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In: IEEE Journal on Selected Areas in Communications. - 0733-8716 .- 1558-0008. ; 40:7, s. 2179-2192
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Journal article (peer-reviewed)abstract
- 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.
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| 5. |
- Ge, Yu, 1995, et al.
(author)
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Analysis of V2X Sidelink Positioning in sub-6 GHz
- 2023
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In: 2023 IEEE 3rd International Symposium on Joint Communications and Sensing, JC and S 2023.
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Conference paper (peer-reviewed)abstract
- Radio positioning is an important part of joint communication and sensing in beyond 5G communication systems. Existing works mainly focus on the mmWave bands and under-utilize the sub-6 GHz bands, even though it is promising for accurate positioning, especially when the multipath is uncomplicated, and meaningful in several important use cases. In this paper, we analyze V2X sidelink positioning and propose a new approximate performance bound that can predict the positioning performance in the presence of severe multipath. Simulation results using ray-tracing data demonstrate the possibility of sidelink positioning, and the efficacy of the new performance bound and its relation with the complexity of the multipath.
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| 6. |
- Ge, Yu, 1995, et al.
(author)
-
Doppler Exploitation in Bistatic mmWave Radio SLAM
- 2022
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In: GLOBECOM - IEEE Global Telecommunications Conference. ; , s. 6463-6468
-
Conference paper (peer-reviewed)abstract
- 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 Cram´er-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.
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| 7. |
- Ge, Yu, 1995, et al.
(author)
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Experimental Validation of Single Base Station 5G mm Wave Positioning: Initial Findings
- 2022
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In: 2022 25th International Conference on Information Fusion, FUSION 2022. - Piscataway : IEEE.
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Conference paper (peer-reviewed)abstract
- 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 station localization. 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.
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| 8. |
- Ge, Yu, 1995, et al.
(author)
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Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport
- 2024
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In: IEEE Transactions on Vehicular Technology. - 0018-9545 .- 1939-9359. ; In Press
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Journal article (peer-reviewed)abstract
- Positioning with 5G signals generally requires connection to several base stations (BSs), which makes positioning more demanding in terms of infrastructure than communications. To address this issue, there have been several theoretical studies on single BS positioning, leveraging high-resolution angle and delay estimation and multipath exploitation possibilities at mmWave frequencies. This paper presents the first realistic experimental validation of such studies, involving a commercial 5G mmWave BS with a customized beam sweep procedure and a user equipment (UE) development kit mounted on a test vehicle. We present the relevant signal models, and signal processing methods, and validate these based on data collected in an outdoor science park environment. Our results indicate that positioning is possible, but the performance is limited by the knowledge of the position and orientation of the infrastructure and the multipath visibility and diversity
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| 9. |
- Ge, Yu, 1995, et al.
(author)
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Exploiting Diffuse Multipath in 5G SLAM
- 2020
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In: 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings.
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Conference paper (peer-reviewed)abstract
- 5G millimeter wave (mmWave) signals can be used to jointly localize the receiver and map the propagation environment in vehicular networks, which is a typical simultaneous localization and mapping (SLAM) problem. Mapping the environment is challenging, due to measurements comprising both specular and diffuse multipath components, where diffuse multipath is usually considered as a perturbation. We here propose a novel method to utilize all available multipath signals from each landmark for mapping and incorporate this into a Poisson multi-Bernoulli mixture for the 5G SLAM problem. Simulation results demonstrate the efficacy of the proposed scheme.
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| 10. |
- Ge, Yu, 1995, et al.
(author)
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Integrated Monostatic and Bistatic mmWave Sensing
- 2023
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In: Proceedings - IEEE Global Communications Conference, GLOBECOM. - 2334-0983 .- 2576-6813. ; , s. 3897-3903
-
Conference paper (peer-reviewed)abstract
- Millimeter-wave (mmWave) signals provide attractive opportunities for sensing due to their inherent geometrical connections to physical propagation channels. Two common modalities used in mmWave sensing are monostatic and bistatic sensing, which are usually considered separately. By integrating these two modalities, information can be shared between them, leading to improved sensing performance. In this paper, we investigate the integration of monostatic and bistatic sensing in a 5G mmWave scenario, implement the extended Kalman-Poisson multi-Bernoulli sequential filters to solve the sensing problems, and propose a method to periodically fuse user states and maps from two sensing modalities.
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