activity
20192024
most citedAn Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

1.2k citations · 1.3k across the 28 of their papers we have counts for

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20 papers · 1 filter

eess.SP2024

Wireless Communications in Doubly Selective Channels with Domain Adaptivity

J. Andrew Zhang, Hongyang Zhang, Kai Wu +3

Wireless communications are significantly impacted by the propagation environment, particularly in doubly selective channels with variations in both time and frequency domains. Ort…

eess.SP2023★ 2 cited

Sensing Aided Uplink Transmission in OTFS ISAC with Joint Parameter Association, Channel Estimation and Signal Detection

Xi Yang, Hang Li, Qinghua Guo +3

In this work, we study sensing-aided uplink transmission in an integrated sensing and communication (ISAC) vehicular network with the use of orthogonal time frequency space (OTFS)…

eess.SP2023★ 1 cited

Air-Ground Integrated Sensing and Communications: Opportunities and Challenges

Zesong Fei, Xinyi Wang, Nan Wu +2

The air-ground integrated sensing and communications (AG-ISAC) network, which consists of unmanned aerial vehicles (UAVs) and ground terrestrial networks, offers unique capabilitie…

eess.SP2023

Practical Frequency-Hopping MIMO Joint Radar Communications: Design and Experiment

Jiangtao Liu, Kai Wu, Tao Su +1

Joint radar and communications (JRC) can realize two radio frequency (RF) functions using one set of resources, greatly saving hardware, energy and spectrum for wireless systems ne…

eess.SP2022

Joint Communications and Sensing Employing Optimized MIMO-OFDM Signals

Kai Wu, J. Andrew Zhang, Zhitong Ni +3

Joint communication and sensing (JCAS) has the potential to improve the overall energy, cost and frequency efficiency of IoT systems. As a first effort, we propose to optimize the…

eess.SP2022

Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink

Kai Wu, J. Andrew Zhang, Xiaojing Huang +2

Beamspace millimeter-wave (mmWave) and terahertz (THz) massive MIMO constitute attractive schemes for next-generation communications, given their abundant bandwidth and high throug…

eess.SP2022

Integration of Radar Sensing into Communications with Asynchronous Transceivers

J. Andrew Zhang, Kai Wu, Xiaojing Huang +3

Clock asynchronism is a critical issue in integrating radar sensing into communication networks. It can cause ranging ambiguity and prevent coherent processing of dis-continuous me…

eess.SP2022★ 2 cited

Fast and Accurate Linear Fitting for Incompletely Sampled Gaussian Function With a Long Tail

Kai Wu, J. Andrew Zhang, Y. Jay Guo

Fitting experiment data onto a curve is a common signal processing technique to extract data features and establish the relationship between variables. Often, we expect the curve t…

eess.SP2022★ 3 cited

Integrated Human Activity Sensing and Communications

Xinyu Li, Yuanhao Cui, J. Andrew Zhang +3

Advances in wireless communication and signal processing facilitate integrated sensing and communication a compelling technology that intrinsically combines sensing and communicati…

eess.SP2021

OTFS-Based Joint Communication and Sensing for Future Industrial IoT

Kai Wu, J. Andrew Zhang, Xiaojing Huang +1

Effective wireless communications are increasingly important in maintaining the successful closed-loop operation of mission-critical industrial Internet-of-Things (IIoT) applicatio…

eess.SP2021★ 2 cited

Integrating Low-Complexity and Flexible Sensing into Communication Systems

Kai Wu, J. Andrew Zhang, Xiaojing Huang +1

Integrating sensing into standardized communication systems can potentially benefit many consumer applications that require both radio frequency functions. However, without an effe…

eess.SP2021★ 2 cited

A Low-Complexity Method for FFT-based OFDM Sensing

Kai Wu, J. Andrew Zhang, Xiaojing Huang +1

OFDM sensing is gaining increasing popularity in wideband radar applications as well as in joint communication and radar/radio sensing (JCAS). As JCAS will potentially be integrate…

eess.SP2021★ 1.2k cited

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

J. Andrew Zhang, Fan Liu, Christos Masouros +4

Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, sharing a majority of hard…

eess.SP2020★ 5 cited

Waveform Optimization with Multiple Performance Metrics for Broadband Joint Communication and Radar Sensing

Zhitong Ni, J. Andrew Zhang, Kai Yang +2

Joint communication and radar sensing (JCAS) integrates communication and radar/radio sensing into one system, sharing one transmitted signal. In this paper, we investigate JCAS wa…

eess.SP2020

Uplink Sensing in Perceptive Mobile Networks with Asynchronous Transceivers

Zhitong Ni, J. Andrew Zhang, Xiaojing Huang +2

Perceptive mobile network (PMN) is a recently proposed next-generation network that integrates radar sensing into communication. One major challenge for realizing sensing in PMNs i…

eess.SP2020★ 3 cited

Frequency-Hopping MIMO Radar-Based Communications: An Overview

Kai Wu, J. Andrew Zhang, Xiaojing Huang +1

Enabled by the advancement in radio frequency technologies, the convergence of radar and communication systems becomes increasingly promising and is envisioned as a key feature of…

eess.SP2020★ 5 cited

Integrating Secure and High-Speed Communications into Frequency Hopping MIMO Radar

Kai Wu, J. Andrew Zhang, Xiaojing Huang +1

Dual-function radar-communication (DFRC) based on frequency hopping (FH) MIMO radar (FH-MIMO DFRC) achieves symbol rate much higher than radar pulse repetition frequency. Such DFRC…

eess.SP2020★ 98 cited

Waveform Design and Accurate Channel Estimation for Frequency-Hopping MIMO Radar-Based Communications

Kai Wu, J. Andrew Zhang, Xiaojing Huang +2

Frequency-hopping (FH) MIMO radar-based dual-function radar communication (FH-MIMO DFRC) enables communication symbol rate to exceed radar pulse repetition frequency, which require…

eess.SP2020★ 2 cited

Multibeam Optimization for Joint Communication and Radio Sensing Using Analog Antenna Arrays

Yuyue Luo, J. Andrew Zhang, Xiaojing Huang +2

Multibeam technology enables the use of two or more subbeams for joint communication and radio sensing, to meet different requirements of beamwidth and pointing directions. Generat…

eess.SP2020★ 3 cited

Waveform Optimization for MIMO Joint Communication and Radio Sensing Systems with Training Overhead

Xin Yuan, Zhiyong Feng, J. Andrew Zhang +4

In this paper, we study optimal waveform design to maximize mutual information (MI) for a joint communication and (radio) sensing (JCAS, a.k.a., radar-communication) multi-input mu…