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Xiaolong Yang - IEEE Xplore Author Profile
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Xiaolong Yang

Also published under: Xiao-Long Yang, Xiaohong Yang, X. Yang

Publications
64
Citations
423
Publications by Year
20062025
Co-Authors:
Show All Co-Authors (90)
Image of author Xiaolong Yang

Xiaolong Yang

Also published under: Xiao-Long Yang, Xiaohong Yang, X. Yang

Affiliation

School of Communications and Information Engineering
Chongqing University of Posts and Telecommunications
Chongqing, China
School of Optoelectronics Engineering
Chongqing University of Posts and Telecommunications
Chongqing, China

Publication Topics

Biography

Xiao-Long Yang (Member, IEEE) was born in 1987. He received the M.Sc. and Ph.D. degrees in communication engineering from the Harbin Institute of Technology in 2012 and 2017, respectively. From 2015 to 2016, he was a Visiting Scholar with Nanyang Technological University, Singapore. He is currently a Lecturer with the Chongqing University of Posts and Telecommunications. His current research interests include cognitive radio networks, energy efficiency optimization, and manifold learning.(Based on document published on 6 September 2022).
Publications
64
Citations
423
Publications by Year
20062025
Co-Authors:
Show All Co-Authors (90)
Author's Published Works

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Radar based Contactless Blood Pressure Estimation System using Signal Decomposition and Deep Neural Network

Yong Wang;Sibo Wang;Chao Fang;Mu Zhou;Xiaolong Yang;Qian Zhang;Yu Pang

IEEE Transactions on Instrumentation and Measurement
Year: 2025 | Early Access Article |
Non-contact blood pressure monitoring holds significant importance in terms of convenience, real-time monitoring, and long-term surveillance, and it plays a positive role in fields of blood pressure management and disease prevention. This paper proposes a blood pressure monitoring method based on a novel signal processing method with frequency-modulated continuous wave (FMCW) radar. Firstly, we em...Show More

Radar based Contactless Blood Pressure Estimation System using Signal Decomposition and Deep Neural Network

Yong Wang;Sibo Wang;Chao Fang;Mu Zhou;Xiaolong Yang;Qian Zhang;Yu Pang

Year: 2025 | Early Access Article |

A Novel RIS-Aided Indoor Localization in Single Access Point Scenarios via Generative AI

Qiaolin Pu;Wenjun Yu;Xin Lan;Mu Zhou;Xiaolong Yang

IEEE Internet of Things Journal
Year: 2025 | Early Access Article |
With the continuous development of 6G communication technology and artificial intelligence (AI), reconfigurable intelligent surface (RIS) technology and generative artificial intelligence (GAI) have received widespread attention. Hence, combining these two techniques to solve the problem of non-localizability in single access point (AP) scenarios is promising. This paper proposes a novel RIS-aided...Show More

A Novel RIS-Aided Indoor Localization in Single Access Point Scenarios via Generative AI

Qiaolin Pu;Wenjun Yu;Xin Lan;Mu Zhou;Xiaolong Yang

Year: 2025 | Early Access Article |

LiDAR Point Cloud Semantic Segmentation Based on Feature Interaction Fusion

Rui Xiang;Mu Zhou;Nan Du;Xiaolong Yang

2024 IEEE 12th Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2024 | Conference Paper |
LiDAR point cloud semantic segmentation is a critical task for environmental perception in various outdoor scenarios. Point cloud semantic segmentation based on projection views, e.g., Range View (RV) and Bird’s Eye View (BEV), has been widely studied, while single-view projection methods fail to exploit complementary information between different views during feature representation learning. To a...Show More

LiDAR Point Cloud Semantic Segmentation Based on Feature Interaction Fusion

Rui Xiang;Mu Zhou;Nan Du;Xiaolong Yang

Year: 2024 | Conference Paper |

Integrated Sensing and Communications Waveform Design for OTFS and FTN Fusion

Xiaolong Yang;Bingrui Zhang;Mu Zhou;Ming Gao

IEEE Signal Processing Letters
Year: 2024 | Volume: 31 | Journal Article |
In this letter, we propose an Integrated Sensing and Communications (ISAC) waveform design method based on the fusion of Orthogonal Time Frequency Space (OTFS) and Faster-Than-Nyquist (FTN). The objective is to maximize the communication data transmission rate while minimizing the sensing performance impact on the target parameter estimation. We first map the FTN symbols to OTFS waveform time doma...Show More

Integrated Sensing and Communications Waveform Design for OTFS and FTN Fusion

Xiaolong Yang;Bingrui Zhang;Mu Zhou;Ming Gao

Year: 2024 | Volume: 31 | Journal Article |

Positioning Under Multipath Environments in Wireless Network: Survey, Design, and Opportunities

Liangbo Xie;Yukun Zhang;Changming Zhao;Chenlin Zhang;Mu Zhou;Xiaolong Yang

IEEE Network
Year: 2024 | Volume: 38, Issue: 6 | Magazine Article |
With the development of the Internet of Things (IoTs), there is an increasing demand for Location Based Services (LBS) for various applications. Traditional indoor and outdoor positioning systems, such as global positioning system (GPS) and Wi-Fi, have mature solutions for line-of-sight (LOS) environments. However, performances of existing positioning techniques in multipath environments may exper...Show More

Positioning Under Multipath Environments in Wireless Network: Survey, Design, and Opportunities

Liangbo Xie;Yukun Zhang;Changming Zhao;Chenlin Zhang;Mu Zhou;Xiaolong Yang

Year: 2024 | Volume: 38, Issue: 6 | Magazine Article |

Multi-Frequency Based CSI Compression for Vehicle Localization in Intelligent Transportation System

Xiaolong Yang;Meng Gao;Liangbo Xie;Mu Zhou

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 3 | Journal Article |
Cited by: Papers (3)
With the advent of the new era of 6G, new applications of smart factories and intelligent transportation systems based on real-time wireless sensing technology will confront great demands and challenges. In the intelligent transportation system, it is essential to realize services such as localization and intrusion detection for intelligent vehicles. To build a wide range of positioning network ba...Show More

Multi-Frequency Based CSI Compression for Vehicle Localization in Intelligent Transportation System

Xiaolong Yang;Meng Gao;Liangbo Xie;Mu Zhou

Year: 2024 | Volume: 25, Issue: 3 | Journal Article |

Phase-Calibration-Based 3-D Beamspace Matrix Pencil Algorithm for Indoor Passive Positioning and Tracking

Xiaolong Yang;Quanchen Li;Mu Zhou;Jiacheng Wang

IEEE Sensors Journal
Year: 2023 | Volume: 23, Issue: 17 | Journal Article |
Cited by: Papers (6)
In the context of integrated sensing and communication (ISAC), indoor device-free positioning and tracking technology based on channel state information (CSI) has become a key and significant branch. CSI extracted by high-bandwidth chips is not widely used for sensing due to problems of clock asynchrony and phase locking instability. This article implements passive positioning based on the CSI col...Show More

Phase-Calibration-Based 3-D Beamspace Matrix Pencil Algorithm for Indoor Passive Positioning and Tracking

Xiaolong Yang;Quanchen Li;Mu Zhou;Jiacheng Wang

Year: 2023 | Volume: 23, Issue: 17 | Journal Article |

Power Spectral Density Distribution Based GCN Construction for Through-the-wall Target Detection

Xiaolong Yang;Ting Tang;Jiawei Tu;Zhaoyu Li;Xinxing Tang

2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
With the difference of the target state, the power spectral density (PSD) distribution on the channel states information (CSI) time-frequency map is different. Therefore, this paper analyzes the time-frequency domain feature of CSI and proposes an indoor through-the-wall (TTW) passive object detection algorithm based on graph convolutional network (GCN). The experimental results show that the algo...Show More

Power Spectral Density Distribution Based GCN Construction for Through-the-wall Target Detection

Xiaolong Yang;Ting Tang;Jiawei Tu;Zhaoyu Li;Xinxing Tang

Year: 2022 | Conference Paper |

Indoor Localization Based on Semi-tensor Product Compression Sensing

Xin Lan;Qiaolin Pu;Mu Zhou;Xiaolong Yang;Youkun Chen;Quan Long;Li Fu

2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
The sparsity of the localization problem makes the Compression Sensing (CS) theory suitable for indoor localization in Wireless Local Area Network (WLAN). However, when the target environment has a large number of Access Points (APs), online measurement takes a lot of time and increases the storage space of the AP selection matrix. To address this drawback, a Semi-tensor Product Compression Sensin...Show More

Indoor Localization Based on Semi-tensor Product Compression Sensing

Xin Lan;Qiaolin Pu;Mu Zhou;Xiaolong Yang;Youkun Chen;Quan Long;Li Fu

Year: 2022 | Conference Paper |

Indoor Wi-Fi Localization Based on CNN Feature Fusion Network

Youkun Chen;Qiaolin Pu;Mu Zhou;Xiaolong Yang;Xin Lan;Quan Long;Li Fu

2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
With the rise of 5G new smart city construction, the demand for location-based services (LBS) has been increasing rapidly. Indoor positioning technology based on Wi-Fi has attracted extensive attention due to its advantages of low deployment cost and high positioning accuracy. However, traditional neural networks ignore a large amount of available information in the intermediate layer when conduct...Show More

Indoor Wi-Fi Localization Based on CNN Feature Fusion Network

Youkun Chen;Qiaolin Pu;Mu Zhou;Xiaolong Yang;Xin Lan;Quan Long;Li Fu

Year: 2022 | Conference Paper |

A Multipath Pairing Method Based on Matrix Pencil

Xiaolong Yang;Quanchen Li;Qi Li;Mu Zhou;Yong Wang;Wei Nie

2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2022 | Conference Paper |
In this paper, an improved pairing method is proposed to solve the multi-pole problem in the parameter estimation of matrix pencil (MP) algorithm and its derivatives in a multipath environment. This method distinguishes eigenvalues obtained by decomposing the spatial dimension matrix, further constructs eigenvalues of the time dimension, and finally updates eigenvalues. Simulation results show tha...Show More

A Multipath Pairing Method Based on Matrix Pencil

Xiaolong Yang;Quanchen Li;Qi Li;Mu Zhou;Yong Wang;Wei Nie

Year: 2022 | Conference Paper |

UAV Indoor Localization Using 3D Laser Radar

Huaizhi Wen;Wei Nie;Xiaolong Yang;Mu Zhou

2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
At present, unmanned aerial vehicle (UAV) mainly relies on GPS to achieve positioning in outdoor environment. However, the GPS signal is weak and easy to be lost in complex indoor environment. This paper presents an indoor positioning system for UAV using 3D laser radar. First, we receive the point cloud data through the UAV airborne lidar, subsequently, its edge feature points and plane feature p...Show More

UAV Indoor Localization Using 3D Laser Radar

Huaizhi Wen;Wei Nie;Xiaolong Yang;Mu Zhou

Year: 2022 | Conference Paper |

Cost-efficient Entangled Light Quantum Imaging Based on Compressed Sensing

Zhongyin Hu;Mu Zhou;Wei Nie;Xiaolong Yang;Jingyang Cao

2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
A cost-efficient entangled light quantum imaging method is proposed to improve imaging speed while preserve imaging quality. First of all, the target image is sparsely processed by wavelet transform, and the random Bernoulli matrix is selected as the measurement matrix to ensure the retention of the effective information in the sparse signal. Then, the image is reconstructed by using the Total Var...Show More

Cost-efficient Entangled Light Quantum Imaging Based on Compressed Sensing

Zhongyin Hu;Mu Zhou;Wei Nie;Xiaolong Yang;Jingyang Cao

Year: 2022 | Conference Paper |

Through-the-Wall Passive Detection for Moving Targets based on Channel State Information Reconstruction

Zhaoyu Li;Ting Tang;Xiaolong Yang;Wei Nie;Yong Wang

2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT)
Year: 2022 | Conference Paper |
Under a through-the-wall (TTW) scenario, existing passive moving target detection algorithms based on Wi-Fi signal could not clearly distinguish the number of targets as transceivers are placed on the same side of a wall. In order to address the above problem, a novel detection algorithm is proposed based on channel states information (CSI) reconstruction. We first correct phase errors, and then e...Show More

Through-the-Wall Passive Detection for Moving Targets based on Channel State Information Reconstruction

Zhaoyu Li;Ting Tang;Xiaolong Yang;Wei Nie;Yong Wang

Year: 2022 | Conference Paper |

A Dual-Frequency Phase-Based Indoor Localization Algorithm using Particle Filter for Passive RFID Tags

Chenhui Xia;Liangbo Xie;Mu Zhou;Xiaolong Yang

2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT)
Year: 2022 | Conference Paper |
In this paper, an RFID tag localization method based on phase particle filtering using dual-frequency phases is proposed. In order to reduce the phase error due to the multipath effect, frequency hopping technique is employed to emulate a large virtual bandwidth, and multipath suppression algorithm (MSA) is realized with the help of coarse estimation distance obtained by Inverse Fast Fourier Trans...Show More

A Dual-Frequency Phase-Based Indoor Localization Algorithm using Particle Filter for Passive RFID Tags

Chenhui Xia;Liangbo Xie;Mu Zhou;Xiaolong Yang

Year: 2022 | Conference Paper |

Indoor 3D Localization Using Monocular Vision

Huaizhi Wen;Wei Nei;Xiaolong Yang;Mu Zhou

2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT)
Year: 2022 | Conference Paper |
At present, global positioning system (GPS) basically meet the user's needs for location services in outdoor scenes. However, it is difficult to locate where GPS signals are missing in indoor environment. In this paper, we design an indoor localization system based on monocular vision. Firstly, according to the pictures taken by the terminal camera in real time, the feature points of each picture ...Show More

Indoor 3D Localization Using Monocular Vision

Huaizhi Wen;Wei Nei;Xiaolong Yang;Mu Zhou

Year: 2022 | Conference Paper |

A Three-Dimensional Matrix Pencil Algorithm Based on Beamspace

Quanchen Li;Xiaolong Yang;Mu Zhou;Yong Wang;Wei Nie

2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
For reducing the computational complexity and ensuring the parameter estimation accuracy, a beamspace based three-dimensional (3D) matrix pencil (3D-BMP) algorithm is proposed, which decomposes three-dimensional poles into three one-dimensional poles and estimates the poles of each dimension separately. After pairing the estimated multipath channel poles, the angle-of-arrival (AoA), time-of-flight...Show More

A Three-Dimensional Matrix Pencil Algorithm Based on Beamspace

Quanchen Li;Xiaolong Yang;Mu Zhou;Yong Wang;Wei Nie

Year: 2022 | Conference Paper |

Integrated Gaussian Filtering and Wavelet Transform Based Coincidence Count Filtering for Quantum Imaging

Changyin Ji;Mu Zhou;Xiaolong Yang;Jingyang Cao

2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)
Year: 2022 | Conference Paper |
To improve the quality of quantum imaging, this paper proposes a coincidence count filtering method based on integrated Gaussian filtering and wavelet transform for quantum imaging. Firstly, the photon information is collected to obtain coincident count values, and then Gaussian filtering is applied to smooth coincident count values. Secondly, discrete wavelet transform is performed on coincident ...Show More

Integrated Gaussian Filtering and Wavelet Transform Based Coincidence Count Filtering for Quantum Imaging

Changyin Ji;Mu Zhou;Xiaolong Yang;Jingyang Cao

Year: 2022 | Conference Paper |

Two-Stream Feature Fusion Convolutional Network Based Target Recognition for Entangled Light Quantum Imaging

Huishi Xia;Yong Wang;Mu Zhou;Liangbo Xie;Xiaolong Yang

2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)
Year: 2022 | Conference Paper |
To address the problems of blurred contour and missed local image information of the entangled light quantum image, which leads to poor recognition performance, this paper proposes a target recognition method of entangled light quantum imaging based on a two-stream feature fusion network. Specifically, we first prepare the entangled photon pairs via spontaneous parametric down-conversion to achiev...Show More

Two-Stream Feature Fusion Convolutional Network Based Target Recognition for Entangled Light Quantum Imaging

Huishi Xia;Yong Wang;Mu Zhou;Liangbo Xie;Xiaolong Yang

Year: 2022 | Conference Paper |

A Compact 4×4 Filtering Microstrip Patch Antenna Array With Dolph-Chebyshev Power Distribution

Wei Nie;Huai-Zhi Wen;Kai-Da Xu;Yu-Quan Luo;Xiao-Long Yang;Mu Zhou

IEEE Open Journal of Antennas and Propagation
Year: 2022 | Volume: 3 | Journal Article |
Cited by: Papers (15)
This paper proposes a compact $4 \times 4$ filtering microstrip patch antenna array with Dolph- Chebyshev distribution implemented by multilayer structure. The proposed antenna array features good filtering performance but contains no extra filtering parts in the feeding or the radiating element. The whole antenna array consists of four $1 \times 4$ antenna subarrays, each subarray is composed...Show More

A Compact 4×4 Filtering Microstrip Patch Antenna Array With Dolph-Chebyshev Power Distribution

Wei Nie;Huai-Zhi Wen;Kai-Da Xu;Yu-Quan Luo;Xiao-Long Yang;Mu Zhou

Year: 2022 | Volume: 3 | Journal Article |

Dynamic Target Acceleration Estimation Using CSI

Jiacheng Wang;Zengshan Tian;Xiaolong Yang;Mu Zhou;Jiamin Huang;Dusit Niyato

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
Year: 2022 | Conference Paper |
Wireless sensing attracts significant attention in recent years, due to its ubiquitous nature, individual privacy-preserving ability, and potential for future applications, such as home security and the Internet of Things (IoT). Among the sensed information, the dynamic human target acceleration, which can be used for gait analysis and passive localization, plays an irreplaceable role. Considering...Show More

Dynamic Target Acceleration Estimation Using CSI

Jiacheng Wang;Zengshan Tian;Xiaolong Yang;Mu Zhou;Jiamin Huang;Dusit Niyato

Year: 2022 | Conference Paper |

Service Antenna Array-Based Parameter Estimation for Decimeter Level Indoor Localization

Xiaolong Yang;Yuan She;Mu Zhou;Wei Nie

IEEE Sensors Letters
Year: 2022 | Volume: 6, Issue: 7 | Journal Article |
Cited by: Papers (2)
Since the antenna interval of service antenna array for communication is greater than half a wavelength and does not satisfy the spatial sampling theorem, it is a great challenge to leverage service antenna array for channel state information-based signal parameters estimation, such as time-of-flight (TOF) and angle-of-arrival (AOA) estimation. To overcome this challenge, this letter proposes a di...Show More

Service Antenna Array-Based Parameter Estimation for Decimeter Level Indoor Localization

Xiaolong Yang;Yuan She;Mu Zhou;Wei Nie

Year: 2022 | Volume: 6, Issue: 7 | Journal Article |

Device-to-Device Cooperative Positioning via Matrix Completion and Anchor Selection

Mu Zhou;Yaohua Li;Yiwen Wang;Qiaolin Pu;Xiaolong Yang;Wei Nie

IEEE Internet of Things Journal
Year: 2022 | Volume: 9, Issue: 7 | Journal Article |
Cited by: Papers (10)
As one of the key technologies of the 5G, the device-to-device (D2D) can realize communication between terminals without any base station, thus achieving more convenience of cooperative positioning. In this article, we propose a D2D cooperative positioning approach via matrix completion and anchor selection, which tackles the positioning problem with inadequate distance information. Specifically, ...Show More

Device-to-Device Cooperative Positioning via Matrix Completion and Anchor Selection

Mu Zhou;Yaohua Li;Yiwen Wang;Qiaolin Pu;Xiaolong Yang;Wei Nie

Year: 2022 | Volume: 9, Issue: 7 | Journal Article |

UAV Detection and Localization Based on Multi-Dimensional Signal Features

Wei Nie;Zhi-Chao Han;Yi Li;Wei He;Liang-Bo Xie;Xiao-Long Yang;Mu Zhou

IEEE Sensors Journal
Year: 2022 | Volume: 22, Issue: 6 | Journal Article |
Cited by: Papers (37)
In recent years, unmanned aerial vehicles (UAVs) have received growing attention due to security threats issues. Though UAV detection and positioning systems are commonly used in various scenarios, most of the available systems are still suffering from low accuracy and susceptibility to the environment. Therefore, it is still necessary to design a highly accurate, versatile UAV detection and posit...Show More

UAV Detection and Localization Based on Multi-Dimensional Signal Features

Wei Nie;Zhi-Chao Han;Yi Li;Wei He;Liang-Bo Xie;Xiao-Long Yang;Mu Zhou

Year: 2022 | Volume: 22, Issue: 6 | Journal Article |

Decimeter Level Indoor Localization Using WiFi Channel State Information

Runming Yang;Xiaolong Yang;Jiacheng Wang;Mu Zhou;Zengshan Tian;Lingxia Li

IEEE Sensors Journal
Year: 2022 | Volume: 22, Issue: 6 | Journal Article |
Cited by: Papers (22)
Indoor localization using WiFi signal parameters is challenging, with encouraging decimeter localization results available with enough line-of-sight coverage and hardware infrastructure. This paper proposes a new 2-dimensional multiple packets based matrix pencil (2D M-MP) method to estimate the Angle of Arrival (AoA) and Time of Flight (ToF) based on WiFi channel state information (CSI). Compared...Show More

Decimeter Level Indoor Localization Using WiFi Channel State Information

Runming Yang;Xiaolong Yang;Jiacheng Wang;Mu Zhou;Zengshan Tian;Lingxia Li

Year: 2022 | Volume: 22, Issue: 6 | Journal Article |

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