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20232026
most citedSensing With Random Communication Signals

13 citations · 13 across the 14 of their papers we have counts for

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11 papers · 1 filter

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

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…

eess.SP2025

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…

eess.SP2025

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…

eess.SP2025

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…