13 citations · 16 across the 18 of their papers we have counts for
21 papers
On the Optimality of OFDM for Aperiodic Ranging
Yifeng Xiong, Fan Liu, Ya-Feng Liu +2
We study the expected aperiodic autocorrelation sidelobes of random communication symbols transmitted through a unitary modulation matrix. We consider proper sub-Gaussian constella…
Exact Degrees of Freedom of Spatially Sparse MIMO Channels Without Prior CSI
Yifeng Xiong, Weijiang Zhao, Fan Liu +2
We characterize the degree of freedom (DoF) of a point-to-point blockwise memoryless channel without prior channel state information (CSI), with a fixed number of propagation p…
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…
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…
How Much Sensing Information Is Needed to Control an Unstable Linear System?
Ming Li, Fan Liu, Yifeng Xiong +4
Modern control systems increasingly rely on sensing to infer the system state before control actions can be taken. Yet a given observation mechanism may fail to preserve sufficient…
Adaptive Matched Filtering for Sensing With Communication Signals in Cluttered Environments
Lei Xie, Hengtao He, Yifeng Xiong +2
This paper investigates the performance of the adaptive matched filtering (AMF) in cluttered environments, particularly when operating with superimposed signals. Since the instanta…
On Discrete Ambiguity Functions of Random Communication Waveforms
Ying Zhang, Fan Liu, Yifeng Xiong +6
This paper provides a fundamental characterization of the discrete ambiguity functions (AFs) of random communication waveforms under arbitrary orthonormal modulation with random co…
Discrete-Periodic Ambiguity Function of Random Communication Signals
Ying Zhang, Fan Liu, Yifeng Xiong +2
This paper investigates the ambiguity function (AF) of communication signals carrying random data payloads, which is a fundamental metric characterizing sensing capability in ISAC…
Probabilistic Constellation Shaping for OFDM ISAC Signals Under Temporal-Frequency Filtering
Zhen Du, Jingjing Xu, Yifeng Xiong +5
Integrated sensing and communications (ISAC) is considered an innovative technology in sixth-generation (6G) wireless networks, where utilizing orthogonal frequency division multip…
Bistatic Target Detection by Exploiting Both Deterministic Pilots and Unknown Random Data Payloads
Lei Xie, Fan Liu, Shenghui Song +1
Integrated sensing and communication (ISAC) plays a crucial role in 6G, enabling innovative applications such as drone surveillance, urban air mobility, and low-altitude logistics.…
Exploiting Both Pilots and Data Payloads for Integrated Sensing and Communications
Chen Xu, Xianghao Yu, Fan Liu +1
Integrated sensing and communications (ISAC) is one of the key enabling technologies in future sixth-generation (6G) networks. Current ISAC systems predominantly rely on determinis…
Optimal Power Allocation for OFDM-based Ranging Using Random Communication Signals
Ying Zhang, Fan Liu, Tao Liu +1
High-precision ranging plays a crucial role in future 6G Integrated Sensing and Communication (ISAC) systems. To improve the ranging performance while maximizing the resource utili…
Sensing With Random Communication Signals
Shihang Lu, Fan Liu, Yifeng Xiong +6
Communication-centric Integrated Sensing and Communication (ISAC) has been recognized as a promising methodology to implement wireless sensing functionality over existing network a…
Sensing With Communication Signals: From Information Theory to Signal Processing
Fan Liu, Ya-Feng Liu, Yuanhao Cui +6
The Integrated Sensing and Communications (ISAC) paradigm is anticipated to be a cornerstone of the upcoming 6G networks. In order to optimize the use of wireless resources, 6G ISA…
Uncovering the Iceberg in the Sea: Fundamentals of Pulse Shaping and Modulation Design for Random ISAC Signals
Fan Liu, Yifeng Xiong, Shihang Lu +5
Integrated Sensing and Communications (ISAC) is expected to play a pivotal role in future 6G networks. To maximize time-frequency resource utilization, 6G ISAC systems must exploit…
Simultaneous Sensing Data Acquisition and Sharing in Low-Altitude Wireless Networks: Fundamental Limits and Optimal Signaling
Fuwang Dong, Fan Liu, Yifeng Xiong +3
In the low-altitude wireless networks, the simultaneous sensing data acquisition and sharing (SDAS) through an ISAC signaling strategy becomes a typical application scenario. In th…
6D Motion Parameters Estimation in Monostatic Integrated Sensing and Communications System
Hongliang Luo, Feifei Gao, Fan Liu +1
In this paper, we propose a novel scheme to estimate the six dimensional (6D) motion parameters of dynamic target for monostatic integrated sensing and communications (ISAC) system…
CP-OFDM Achieves the Lowest Average Ranging Sidelobe Under QAM/PSK Constellations
Fan Liu, Ying Zhang, Yifeng Xiong +5
This paper aims to answer a fundamental question in the area of Integrated Sensing and Communications (ISAC): What is the optimal communication-centric ISAC waveform for ranging? T…
Reshaping the ISAC Tradeoff Under OFDM Signaling: A Probabilistic Constellation Shaping Approach
Zhen Du, Fan Liu, Yifeng Xiong +3
Integrated sensing and communications is regarded as a key enabling technology in the sixth generation networks, where a unified waveform, such as orthogonal frequency division mul…
Random ISAC Signals Deserve Dedicated Precoding
Shihang Lu, Fan Liu, Fuwang Dong +4
Radar systems typically employ well-designed deterministic signals for target sensing, while integrated sensing and communications (ISAC) systems have to adopt random signals to co…