Yunong Tian - IEEE Xplore Author Profile

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Author details

Yunong Tian

Publications

17

Citations

72

Publications by Year

20182024

Co-Authors:

Yinghua CaoMinghao ChenJunfeng FanZishu GaoRui Guo

Show All Co-Authors (28)

Yunong Tian

Affiliation

Beijing Institute of Technology, Beijing, China

Publication Topics

Path Planning,
Point Cloud,
Convolutional Neural Network,
Deep Learning,
Pose Estimation,
Bounding Box,
Horizontal Plane,
Hybrid Robot,
Inertial Measurement Unit,
Intersection Over Union,
Joint Angles,
Obstacle Avoidance

Biography

Yunong Tian received the B.E. degree in automation from the University of Science and Technology Beijing, Beijing, China, in 2016, and the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, in 2022.,His current research interests include crop image processing and intelligent production management and control in orchard.(Based on document published on 24 November 2022).

Publications

17

Citations

72

Publications by Year

20182024

Co-Authors:

Yinghua Cao
Minghao Chen
Junfeng Fan
Zishu Gao
Rui Guo

Show All Co-Authors (28)

Author's Published Works

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Showing 1-14 of 14 results

Conferences (10)

Journals (3)

Magazines (1)

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Michael Döbereiner(12)
Giovanni Del Galdo(7)
Reiner S. Thomä(7)
Carsten Andrich(7)
Steffen Schieler(6)
Fraunhofer Institute for Integrated Circuits IIS, Ilmenau, Germany(4)
Institute for Information Technology, Technische Universität Ilmenau, Ilmenau, Germany(4)
Fraunhofer Institute for Integrated Circuits, Ilmenau, Germany(3)
Huawei Technologies Düsseldorf GmbH, Munich, Germany(2)
RF and Microwave Research Group, Technische Universität Ilmenau, Ilmenau, Germany(2)
2019 16th European Radar Conference (EuRAD)(2)
IEEE Transactions on Antennas and Propagation(2)
2019 13th European Conference on Antennas and Propagation (EuCAP)(1)
2020 14th European Conference on Antennas and Propagation (EuCAP)(1)
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)(1)
IEEE(14)
Florence, Italy(2)
Paris, France(2)
Antwerp, Belgium(1)
Belgrade, Serbia(1)
Copenhagen, Denmark(1)
Doppler Shift(7)
Direction Of Arrival(6)
Fisher Information Matrix(5)
Maximum Likelihood Estimation(5)
Parameter Estimates(5)

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Results

Distributed Computing and Model-Based Estimation for Integrated Communications and Sensing: A Roadmap

Sebastian Semper;Joël Naviliat;Jonas Gedschold;Michael Döbereiner;Steffen Schieler;Reiner S. Thomä

IEEE Open Journal of the Communications Society

Year: 2024 | Volume: 5 | Journal Article |

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The recent advances in Integrated Sensing and Communications (ICAS) essentially transform mobile radio networks into a diverse, dynamic and heterogeneous sensing network. For the application of localization, the acquired sensing data needs to be processed to estimates of the state vectors of the targets in a timely manner. This paper aims at providing a roadmap for the development of a suitable co...Show More

Distributed Computing and Model-Based Estimation for Integrated Communications and Sensing: A Roadmap

Sebastian Semper;Joël Naviliat;Jonas Gedschold;Michael Döbereiner;Steffen Schieler;Reiner S. Thomä

IEEE Open Journal of the Communications Society

Year: 2024 | Volume: 5 | Journal Article |

Improving the Spatial Correlation Characteristics of Antenna Arrays using Linear Operators and Wide-band Modelling

Marc Miranda;Sebastian Semper;Michael Döbereiner;Reiner Thomä

2024 27th International Workshop on Smart Antennas (WSA)

Year: 2024 | Conference Paper |

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The analysis of wireless communication channels at the mmWave, sub-THz and THz bands gives rise to difficulties in the construction of antenna arrays due to the small maximum inter-element spacing constraints at these frequencies. Arrays with uniform spacing greater than half the wavelength for a certain carrier frequency exhibit aliasing side-lobes in the angular domain, prohibiting non-ambiguous...Show More

Improving the Spatial Correlation Characteristics of Antenna Arrays using Linear Operators and Wide-band Modelling

Marc Miranda;Sebastian Semper;Michael Döbereiner;Reiner Thomä

2024 27th International Workshop on Smart Antennas (WSA)

Year: 2024 | Conference Paper |

Excitation Signal Design for THz Channel Sounding and Propagation Parameter Estimation

Jonas Gedschold;Sebastian Semper;Michael Döbereiner;Reiner S. Thomä

2024 18th European Conference on Antennas and Propagation (EuCAP)

Year: 2024 | Conference Paper |

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In this publication, we analyze how the performance of propagation parameter estimation for THz channel sounding can be improved by the power spectrum design of a multicarrier waveform. To this end, we discuss the Fisher information of the propagation parameters and the corresponding deterministic Cramèr-Rao lower bound (CRB) as well as their relation to the carrier powers of the excitation signal...Show More

Excitation Signal Design for THz Channel Sounding and Propagation Parameter Estimation

Jonas Gedschold;Sebastian Semper;Michael Döbereiner;Reiner S. Thomä

2024 18th European Conference on Antennas and Propagation (EuCAP)

Year: 2024 | Conference Paper |

Time Variant Directional Multi-Link Channel Sounding and Estimation for V2X

Daniel Stanko;Michael Döbereiner;Gerd Sommerkorn;Daniel Czaniera;Carsten Andrich;Christian Schneider;Sebastian Semper;Alexander Ihlow;Markus Landmann

2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)

Year: 2023 | Conference Paper |

Cited by: Papers (3)

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We present our new scalable multi-channel and multi-node sounder, the ILMSoundG3. It is configurable in terms of the number of switched Tx and parallel Rx nodes. The basic structures of the Tx and Rx nodes are given with consideration of the measurement system requirements.The ILMSoundG3 is validated via a proof of concept measurement at 2.53 GHz in an urban environment. The system was configured ...Show More

Time Variant Directional Multi-Link Channel Sounding and Estimation for V2X

Daniel Stanko;Michael Döbereiner;Gerd Sommerkorn;Daniel Czaniera;Carsten Andrich;Christian Schneider;Sebastian Semper;Alexander Ihlow;Markus Landmann

2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)

Year: 2023 | Conference Paper |

Dynamic Delay-Dispersive UWB-Radar Targets: Modeling and Estimation

Jonas Gedschold;Sebastian Semper;Reiner S. Thomä;Michael Döbereiner;Giovanni Del Galdo

IEEE Transactions on Antennas and Propagation

Year: 2023 | Volume: 71, Issue: 8 | Journal Article |

Cited by: Papers (3)

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This publication proposes a parametric data model and a gradient-based maximum likelihood estimator suitable for the description of delay-dispersive responses of multiple dynamic ultrawideband (UWB)-radar targets. The target responses are estimated jointly with the global target parameters range and velocity. The large relative bandwidth of UWB has consequences for model-based parameter estimation...Show More

Dynamic Delay-Dispersive UWB-Radar Targets: Modeling and Estimation

Jonas Gedschold;Sebastian Semper;Reiner S. Thomä;Michael Döbereiner;Giovanni Del Galdo

IEEE Transactions on Antennas and Propagation

Year: 2023 | Volume: 71, Issue: 8 | Journal Article |

High-Resolution Parameter Estimation for Wideband Radio Channel Sounding

Sebastian Semper;Michael Döbereiner;Christian Steinmetz;Markus Landmann;Reiner S. Thomä

IEEE Transactions on Antennas and Propagation

Year: 2023 | Volume: 71, Issue: 8 | Journal Article |

Cited by: Papers (10)

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Multidimensional channel sounding measures the geometrical structure of mobile radio propagation. The parameters of a multipath data model in terms of directions, time-of-flight, and Doppler shift are estimated from observations in frequency, time, and space. A maximum likelihood estimation framework allows joint high resolution in all dimensions. The prerequisite for this is an appropriate parame...Show More

High-Resolution Parameter Estimation for Wideband Radio Channel Sounding

Sebastian Semper;Michael Döbereiner;Christian Steinmetz;Markus Landmann;Reiner S. Thomä

IEEE Transactions on Antennas and Propagation

Year: 2023 | Volume: 71, Issue: 8 | Journal Article |

Measurement Testbed for Radar and Emitter Localization of UAV at 3.75 GHz

Julia Beuster;Carsten Andrich;Michael Döbereiner;Steffen Schieler;Maximilian Engelhardt;Christian Schneider;Reiner Thomä

2023 17th European Conference on Antennas and Propagation (EuCAP)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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This paper presents an experimental measurement platform for the research and development of unmanned aerial vehicles (UAVs) localization algorithms using radio emission and reflectivity. We propose a cost-effective, flexible testbed made from commercial off-the-shelf (COTS) devices to allow academic research regarding the upcoming integration of UAV surveillance in existing mobile radio networks ...Show More

Measurement Testbed for Radar and Emitter Localization of UAV at 3.75 GHz

Julia Beuster;Carsten Andrich;Michael Döbereiner;Steffen Schieler;Maximilian Engelhardt;Christian Schneider;Reiner Thomä

2023 17th European Conference on Antennas and Propagation (EuCAP)

Year: 2023 | Conference Paper |

Estimating Multi-Modal Dense Multipath Components using Auto-Encoders

S. Schieler;M. Döbereiner;S. Semper;M. Landmann

2022 30th European Signal Processing Conference (EUSIPCO)

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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We present a maximum-likelihood estimation algorithm for radio channel measurements exhibiting a mixture of independent Dense Multipath Components. The novelty of our approach is in the algorithms initialization using a deep learning architecture. Currently, available approaches can only deal with scenarios where a single mode is present. However, in measurements, two or more modes are often obser...Show More

Estimating Multi-Modal Dense Multipath Components using Auto-Encoders

S. Schieler;M. Döbereiner;S. Semper;M. Landmann

2022 30th European Signal Processing Conference (EUSIPCO)

Year: 2022 | Conference Paper |

Performance of OFDMA resource scheduling in joint mobile radio and radar networks

Steffen Schieler;Michael Döbereiner;Reiner Thomä;Christian Schneider;Jian Luo;Giovanni Del Galdo

2020 14th European Conference on Antennas and Propagation (EuCAP)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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In this paper, we study the impact of time-frequency resource scheduling on the performance of an orthogonal frequency-division multiplexing (OFDM)-based radar receiver for joint mobile radio and radar networks. Our results illustrate how the sparse distribution of resources in the time-frequency grid, as used for orthogonal frequency-division multiple access (OFDMA), affects the cost function of ...Show More

Performance of OFDMA resource scheduling in joint mobile radio and radar networks

Steffen Schieler;Michael Döbereiner;Reiner Thomä;Christian Schneider;Jian Luo;Giovanni Del Galdo

2020 14th European Conference on Antennas and Propagation (EuCAP)

Year: 2020 | Conference Paper |

Measurement Campaign with Synchronized Distributed Receivers and Mobile Emitter at 3.75 GHz in Urban Scenarios

Julia Bauer;Carsten Andrich;Michael Döbereiner;Steffen Schieler;James Myint;Alexander Ihlow;Christian Schneider;Reiner Thomä;Giovanni Del Galdo

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Year: 2020 | Conference Paper |

Cited by: Papers (2)

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Research on non-line-of-sight emitter localization relies almost exclusively on simulation data for the evaluation of proposed algorithms. This paper aims to encourage the use of measurements by introducing a setup based on off-the-shelf components that enables 1.5 ns synchronization accuracy and 2 cm ground truth accuracy for multiple distributed receivers and a mobile transmitter. Results from a...Show More

Measurement Campaign with Synchronized Distributed Receivers and Mobile Emitter at 3.75 GHz in Urban Scenarios

Julia Bauer;Carsten Andrich;Michael Döbereiner;Steffen Schieler;James Myint;Alexander Ihlow;Christian Schneider;Reiner Thomä;Giovanni Del Galdo

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Year: 2020 | Conference Paper |

OFDM Waveform for Distributed Radar Sensing in Automotive Scenarios

Steffen Schieler;Christian Schneider;Carsten Andrich;Michael Döbereiner;Jian Luo;Andreas Schwind;Philip Wendland;Reiner S. Thomä;Giovanni Del Galdo

2019 16th European Radar Conference (EuRAD)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

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In this paper, an orthogonal frequency-division multiplexing (OFDM) waveform radar sensing approach is demonstrated based on field measurements at C-band. We demonstrate a concept, that is based on the exploitation of typical wireless communication transmissions to perform passive, distributed radar sensing. Our concept is based on an OFDM radar that operates in the modulation symbol domain and ca...Show More

OFDM Waveform for Distributed Radar Sensing in Automotive Scenarios

Steffen Schieler;Christian Schneider;Carsten Andrich;Michael Döbereiner;Jian Luo;Andreas Schwind;Philip Wendland;Reiner S. Thomä;Giovanni Del Galdo

2019 16th European Radar Conference (EuRAD)

Year: 2019 | Conference Paper |

Joint High-Resolution Delay-Doppler Estimation for Bi-static Radar Measurements

Michael Döbereiner;Martin Käske;Andreas Schwind;Carsten Andrich;Matthias A. Hein;Reiner S. Thomä;Giovanni Del Galdo

2019 16th European Radar Conference (EuRAD)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

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This contribution describes a maximum-likelihood based joint delay-Doppler estimation algorithm for bi-static radar measurements. The data model used by the estimator considers delay and Doppler of multiple propagation paths explicitly. As we aim at considering typical signals used for communications, the transmit signal is rather long compared to signals in channel sounding. Therefore, the Dopple...Show More

Joint High-Resolution Delay-Doppler Estimation for Bi-static Radar Measurements

Michael Döbereiner;Martin Käske;Andreas Schwind;Carsten Andrich;Matthias A. Hein;Reiner S. Thomä;Giovanni Del Galdo

2019 16th European Radar Conference (EuRAD)

Year: 2019 | Conference Paper |

Cooperative Passive Coherent Location: A Promising 5G Service to Support Road Safety

Reiner S. Thoma;Carsten Andrich;Giovanni Del Galdo;Michael Dobereiner;Matthias A. Hein;Martin Kaske;Gunter Schafer;Steffen Schieler;Christian Schneider;Andreas Schwind;Philip Wendland

IEEE Communications Magazine

Year: 2019 | Volume: 57, Issue: 9 | Magazine Article |

Cited by: Papers (77)

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5G promises many new vertical service areas beyond simple communication and data transfer. We propose cooperative passive coherent location (CPCL), a distributed MIMO radar service, which can be offered by mobile radio network operators as a service for public user groups. CPCL comes as an inherent part of the radio network and takes advantage of the most important key features proposed for 5G. It...Show More

Cooperative Passive Coherent Location: A Promising 5G Service to Support Road Safety

Reiner S. Thoma;Carsten Andrich;Giovanni Del Galdo;Michael Dobereiner;Matthias A. Hein;Martin Kaske;Gunter Schafer;Steffen Schieler;Christian Schneider;Andreas Schwind;Philip Wendland

IEEE Communications Magazine

Year: 2019 | Volume: 57, Issue: 9 | Magazine Article |

Bi-static delay-Doppler emulation of cooperative passive vehicle-to-X radar

Andreas Schwind;Carsten Andrich;Philip Wendland;Michael Döbereiner;Giovanni Del Galdo;Guenter Schaefer;Reiner S. Thomä;Matthias A. Hein

2019 13th European Conference on Antennas and Propagation (EuCAP)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

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Automotive radar systems are indispensable for advanced driver assistance systems. Beside existing monostatic radar techniques, bi-static radar sensing like passive coherent location offers additional options to improve the radar visibility of vulnerable road users. Regarding testing and evaluation of passive radar signal processing algorithms including parameter estimation, it is essential to pro...Show More

Bi-static delay-Doppler emulation of cooperative passive vehicle-to-X radar

Andreas Schwind;Carsten Andrich;Philip Wendland;Michael Döbereiner;Giovanni Del Galdo;Guenter Schaefer;Reiner S. Thomä;Matthias A. Hein

2019 13th European Conference on Antennas and Propagation (EuCAP)

Year: 2019 | Conference Paper |

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