87 citations · 136 across the 7 of their papers we have counts for
7 papers
Fast Ray-Tracing-Based Precise Underwater Acoustic Localization without Prior Acknowledgment of Target Depth
Wei Huang, Hao Zhang, Kaitao Meng +5
Underwater localization is of great importance for marine observation and building positioning, navigation, timing (PNT) systems that could be widely applied in disaster warning, u…
Cooperative Cellular Localization with Intelligent Reflecting Surface: Design, Analysis and Optimization
Kaitao Meng, Qingqing Wu, Wen Chen +1
Autonomous driving and intelligent transportation applications have dramatically increased the demand for high-accuracy and low-latency localization services. While cellular networ…
Intelligent Surface Enabled Sensing-Assisted Communication
Kaitao Meng, Qingqing Wu, Wen Chen +1
Vehicle-to-everything (V2X) communication is expected to support many promising applications in next-generation wireless networks. The recent development of integrated sensing and…
Sensing-Assisted Communication in Vehicular Networks with Intelligent Surface
Kaitao Meng, Qingqing Wu, Wen Chen +1
The recent development of integrated sensing and communications (ISAC) technology offers new opportunities to meet high-throughput and low-latency communication as well as high-res…
Multi-UAV Collaborative Sensing and Communication: Joint Task Allocation and Power Optimization
Kaitao Meng, Xiaofan He, Qingqing Wu +1
Compared to a single UAV with limited sensing coverage and communication capability, multi-UAV cooperation is able to provide more effective sensing and transmission (S&T) services…
FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing
Feng Yin, Zhidi Lin, Yue Xu +5
In this overview paper, data-driven learning model-based cooperative localization and location data processing are considered, in line with the emerging machine learning and big da…
Exactly Decoupled Kalman Filtering for Multitarget State Estimation with Sensor Bias
Jianxin Yi, Xianrong Wan, Deshi Li
The problem of multisensor multitarget state estimation in the presence of constant but unknown sensor biases is investigated. The classical approach to this problem is to augment…