activity
20102024
most citedJoint Transmit Beamforming for Multiuser MIMO Communication and MIMO Radar

1k citations · 2.9k across the 36 of their papers we have counts for

collaborators

36 papers

eess.SP2024

Approximating Multi-Dimensional and Multiband Signals

Yuhan Li, Tianyao Huang, Yimin Liu +1

We study the problem of representing a discrete tensor that comes from finite uniform samplings of a multi-dimensional and multiband analog signal. Particularly, we consider two ty…

eess.SP2023★ 1 cited

Compressed Sensing Radar Detectors based on Weighted LASSO

Siqi Na, Yoshiyuki Kabashima, Takashi Takahashi +3

The compressed sensing (CS) model can represent the signal recovery process of a large number of radar systems. The detection problem of such radar systems has been studied in many…

eess.IV2023★ 1 cited

Near Field Computational Imaging with RIS Generated Virtual Masks

Yuhua Jiang, Feifei Gao, Yimin Liu +2

Near field computational imaging has been recognized as a promising technique for non-destructive and highly accurate detection of the target. Meanwhile, reconfigurable intelligent…

eess.SP2022

a cognitive frequency allocation strategy for multi-carrier radar against communication interference

Zhao Shan, Lei Wang, Pengfei Liu +2

Modern radars often adopt multi-carrier waveform which has been widely discussed in the literature. However, with the development of civil communication, more and more spectrum res…

eess.SP2022

Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture

Guangbin Zhang, Tianyao Huang, Yimin Liu +2

We consider the problem of direction finding using partly calibrated arrays, a distributed subarray with position errors between subarrays. The key challenge is to enhance angular…

cs.IT2022★ 1 cited

Towards a performance bound on MIMO DFRC systems

Ziheng Zheng, Xiang Liu, Tianyao Huang +2

It is a fundamental problem to analyse the performance bound of multiple-input multiple-output (MIMO) dual-functional radar-communication (DFRC) systems. To this end, we derive a p…

eess.SP2022★ 8 cited

Compressed sensing radar detectors under the row-orthogonal design model: a statistical mechanics perspective

Siqi Na, Tianyao Huang, Yimin Liu +3

Compressed sensing (CS) model of complex-valued data can represent the signal recovery process of a large amount types of radar systems, especially when the measurement matrix is r…

eess.SP2021

Theoretical Linear Convergence of Deep Unfolding Network for Block-Sparse Signal Recovery

Rong Fu, Vincent Monardo, Tianyao Huang +1

In this paper, we consider the recovery of the high-dimensional block-sparse signal from a compressed set of measurements, where the non-zero coefficients of the recovered signal o…

eess.SP2021

Block-Sparse Recovery Network for Two-Dimensional Harmonic Retrieval

Rong Fu, Tianyao Huang, Lei Wang +1

As a typical signal processing problem, multidimensional harmonic retrieval (MHR) has been adapted to a wide range of applications in signal processing. Block-sparse signals, whose…

eess.SP2021★ 4 cited

Transmit Design for Joint MIMO Radar and Multiuser Communications with Transmit Covariance Constraint

Xiang Liu, Tianyao Huang, Yimin Liu

In this paper, we consider the design of a multiple-input multiple-output (MIMO) transmitter which simultaneously functions as a MIMO radar and a base station for downlink multiuse…

eess.SP2021★ 140 cited

FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation

Dingyou Ma, Nir Shlezinger, Tianyao Huang +2

Dual function radar communications (DFRC) systems are attractive technologies for autonomous vehicles, which utilize electromagnetic waves to constantly sense the environment while…

cs.RO2021★ 2 cited

Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark

Yuwei Cheng, Mengxin Jiang, Jiannan Zhu +1

Unmanned surface vehicles (USVs) have great value with their ability to execute hazardous and time-consuming missions over water surfaces. Recently, USVs for inland waterways have…

eess.SP2021★ 26 cited

Structured LISTA for Multidimensional Harmonic Retrieval

Rong Fu, Yimin Liu, Tianyao Huang +1

Learned iterative shrinkage thresholding algorithm (LISTA), which adopts deep learning techniques to learn optimal algorithm parameters from labeled training data, can be successfu…

eess.SP2021★ 57 cited

Phase Transitions in Frequency Agile Radar Using Compressed Sensing

Yuhan Li, Tianyao Huang, Xingyu Xu +2

FAR has improved anti-jamming performance over traditional pulse-Doppler radars under complex electromagnetic circumstances. To reconstruct the range-Doppler information in FAR, ma…

eess.SP2020★ 18 cited

Unambiguous Delay-Doppler Recovery from Random Phase Coded Pulses

Xiang Liu, Deborah Cohen, Tianyao Huang +2

Pulse Doppler radars suffer from range-Doppler ambiguity that translates into a trade-off between maximal unambiguous range and velocity. Several techniques, like the multiple PRFs…

eess.SP2020★ 4 cited

A Random Antenna Subset Selection Jamming Method against Multistatic Radar System

Xiangtuan Wang, Yimin Liu, Tianyao Huang

Multistatic radar system (MSRS) is considered an effective scheme to suppress mainlobe jamming, since it has higher spatial resolution enabling jamming cancellation from spatial do…

eess.SP2020★ 1 cited

Designing the Waveform Bandwidth and Time Duration of Automotive Radars for Better Collision Warning Performance

Hang Ruan, Yimin Liu, Tianyao Huang +1

Automotive radar is a key component in an ADAS. The increasing number of radars implemented in vehicles makes interference between them a noteworthy issue. One method of interferen…

eess.SP2020★ 132 cited

Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype

Dingyou Ma, Nir Shlezinger, Tianyao Huang +4

Dual-function radar-communications (DFRC) systems implement radar and communication functionalities on a single platform. Jointly designing these subsystems can lead to substantial…

eess.SP2020★ 55 cited

Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning

Pengfei Liu, Yimin Liu, Tianyao Huang +2

Nowadays, mutual interference among automotive radars has become a problem of wide concern. In this paper, a decentralized spectrum allocation approach is presented to avoid mutual…

eess.SP2019★ 1k cited

Joint Transmit Beamforming for Multiuser MIMO Communication and MIMO Radar

Xiang Liu, Tianyao Huang, Nir Shlezinger +3

Future wireless communication systems are expected to explore spectral bands typically used by radar systems, in order to overcome spectrum congestion of traditional communication…

eess.SP2019★ 278 cited

MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation

Tianyao Huang, Nir Shlezinger, Xingyu Xu +2

Dual-function radar communication (DFRC) systems implement both sensing and communication using the same hardware. Such schemes are often more efficient in terms of size, power, an…

cs.IT2019★ 456 cited

Joint Radar-Communications Strategies for Autonomous Vehicles

Dingyou Ma, Nir Shlezinger, Tianyao Huang +2

Self-driving cars constantly asses their environment in order to choose routes, comply with traffic regulations, and avoid hazards. To that aim, such vehicles are equipped with wir…

eess.SP2019★ 37 cited

Theoretical Analysis for Extended Target Recovery in Randomized Stepped Frequency Radars

Lei Wang, Tianyao Huang, Yimin Liu

Randomized Stepped Frequency Radar (RSFR) is very attractive for tasks under complex electromagnetic environment. Due to the synthetic high range resolution in RSRFs, a target usua…

eess.SP2019★ 65 cited

Multi-Carrier Agile Phased Array Radar

Tianyao Huang, Nir Shlezinger, Xingyu Xu +3

Modern radar systems are expected to operate reliably in congested environments. A candidate technology for meeting these demands is frequency agile radar (FAR), which randomly cha…