21 citations · 34 across the 26 of their papers we have counts for
12 papers · 1 filter
UAV SAR Imaging via Diffusion Posterior Sampling under Non-Ideal Motion in ISAC Systems
Keying Zhu, Le Liang, Jie Yang +2
Unmanned aerial vehicle-enabled synthetic aperture radar (SAR) offers significant potential for providing communication services to ground users while sensing the surrounding envir…
Ambiguity Function Analysis of OFDM Signals With Pilots and Data Payloads
Jialin Wu, Fan Liu, Ying Zhang +4
Practical orthogonal frequency division multiplexing (OFDM) communication frames contain both deterministic pilots and random data payloads, motivating the joint ambiguity function…
Relativistic Cramér-Rao Bound Scaling for Device-Based and Device-Free Sensing
Fan Liu, Yifeng Xiong, Weijie Yuan +3
This letter investigates range and velocity estimation under relativistic motion for device-based (DB) and device-free (DF) sensing. By deriving the exact time-scaling and time-shi…
Wireless Imaging for Low-Altitude Surveillance: A New Paradigm for ISAC Networks
Yixuan Huang, Jie Yang, Chao-Kai Wen +1
The rapid growth of the low-altitude economy calls for integrated sensing and communication (ISAC) networks capable of robust flight monitoring. This article advocates wireless ima…
SNR-Dependent Mismatched Filtering for Bistatic OFDM Ranging
Ying Zhang, Fan Liu, Yifeng Xiong +3
This paper investigates the ranging performance of a bistatic integrated sensing and communications (ISAC) system employing orthogonal frequency-division multiplexing (OFDM), in wh…
Ambiguity Function Analysis of Pilot-Embedded Random OFDM Signals
Jialin Wu, Fan Liu, Ying Zhang +3
This paper investigates the statistical ambiguity functions (AFs) of orthogonal frequency division multiplexing (OFDM) waveforms that incorporate deterministic unit-modulus pilot s…
Multi-Modal Environment-Aware Beam Management for Massive MIMO: A Geometry-Driven Virtual Base Station Framework
Yijie Bian, Wei Guo, Jie Yang +4
High-frequency massive multiple-input multiple-output (MIMO) systems promise ultra-high data rates. However, efficient beam management remains challenging due to the prohibitive be…
SkySense: A Semi-Supervised Generative Framework for UAV Localization in ISAC Networks
Shenghan Luo, Yin Xu, Jie Yang +4
Extreme data scarcity and inherent multipath spatial ambiguity severely limit existing deep learning-based channel state information (CSI) fingerprinting localization schemes for t…
CP-OFDM Achieves Lower Ranging CRB Than Frequency-Spread Waveforms in the Large-Sample Regime
Fan Liu, Yifeng Xiong, Ya-Feng Liu +3
The inherent randomness of communication symbols creates a fundamental tension in Integrated Sensing and Communications (ISAC). On the one hand, they enable data transmission while…
Beam Prediction Based on Multimodal Large Language Models
Tianhao Mao, Le Liang, Jie Yang +3
Accurate beam prediction is a key enabler for next-generation wireless communication systems. In this paper, we propose a multimodal large language model (LLM)-based beam predictio…
Physics-Informed Implicit Neural Representation for Wireless Imaging in RIS-Aided ISAC System
Yixuan Huang, Jie Yang, Chao-Kai Wen +1
Wireless imaging has become a vital function in future integrated sensing and communication (ISAC) systems. However, traditional model-based and data-driven deep learning imaging m…
RIS-Aided Cooperative ISAC Network for Imaging-Based Low-Altitude Surveillance
Zhixin Chen, Yixuan Huang, Zhengze Ji +2
The low-altitude economy is integral to the advancement of numerous sectors, necessitating the development of advanced low-altitude surveillance techniques. Nevertheless, conventio…