output
20142026
most citedOff-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling

209 citations

16 papers

quant-ph2026★ 9 cited

Enhanced phase estimation with coherently boosted two-mode squeezed beams and its application to optical gyroscopes

Xiao-Qi Xiao, Elisha S. Matekole, Jiankang Zhao +3

Quantum techniques, developed in recent decades, provide new approaches to achieving high-precision measurements beyond the classical bounds. In this paper, we theoretically demons…

cs.CV2026★ 1 cited

Three-dimensional visualization of X-ray micro-CT with large-scale datasets: Efficiency and accuracy for real-time interaction

Yipeng Yin, Rao Yao, Qingying Li +6

As Micro-CT technology continues to refine its characterization of material microstructures, industrial CT ultra-precision inspection is generating increasingly large datasets, nec…

cond-mat.stat-mech2025

Physical Signatures of Supercritical Fluid Boundaries

Sha Jin, Xinyang Li, Xue Fan +2

In the supercritical fluid (SCF) region, at temperatures and pressures above the critical point, the thermodynamic singularity separating liquids and gases no longer exists. Recent…

astro-ph.CO2025★ 1 cited

Comparative Analysis of EMCEE, Gaussian Process, and Masked Autoregressive Flow in Constraining the Hubble Constant Using Cosmic Chronometers Dataset

Jing Niu, Jie-Feng Chen, Peng He +2

The Hubble constant () is essential for understanding the universe's evolution. Different methods, such as Affine Invariant Markov chain Monte Carlo Ensemble sampler (EMCEE),…

astro-ph.CO2024★ 2 cited

Estimating Cosmological Parameters and Reconstructing Hubble Constant with Artificial Neural Networks: A Test with covariance matrix and mock H(z)

Jie-feng Chen, Tong-Jie Zhang, Peng He +2

In this work, we reconstruct the H(z) based on observational Hubble data with Artificial Neural Network, then estimate the cosmological parameters and the Hubble constant. The trai…

cond-mat.soft2024★ 2 cited

Revisiting the question of what instantaneous normal modes tell us about liquid dynamics

Sha Jin, Xue Fan, Matteo Baggioli

The lack of a well-defined equilibrium reference configuration has long hindered a comprehensive atomic-level understanding of liquid dynamics and properties. The Instantaneous Nor…

eess.SP2023★ 23 cited

DNN-DANM: A High-Accuracy Two-Dimensional DOA Estimation Method Using Practical RIS

Zhimin Chen, Peng Chen, Le Zheng +1

Reconfigurable intelligent surface (RIS) or intelligent reflecting surface (IRS) has been an attractive technology for future wireless communication and sensing systems. However, i…

math.DS2023★ 1 cited

A multifractal analysis for uniform level sets with constraints on word appearance

Ziyu Liu

Given a topologically transitive subshift of finite type, the -dimension of the -level set of the quotient of Birkhoff sums is a well-studied topic. In this paper, we conside…

eess.SP2022★ 65 cited

Reconfigurable Intelligent Surface Aided Sparse DOA Estimation Method With Non-ULA

Peng Chen, Zihan Yang, Zhimin Chen +1

The direction of arrival (DOA) estimation problem is addressed in this letter. A reconfigurable intelligent surface (RIS) aided system for the DOA estimation is proposed. Unlike tr…

eess.SP2022★ 113 cited

Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm

Peng Chen, Zhimin Chen, Beixiong Zheng +1

The conventional direction of arrival (DOA) estimation methods are performed with multiple receiving channels. In this paper, a changeling DOA estimation problem is addressed in a…

cs.IT2020★ 24 cited

A New Store-then-Amplify-and-Forward Protocol for UAV Mobile Relaying

Xiaochen Lin, Weidong Mei, Rui Zhang

In this letter, we consider the use of an unmanned aerial vehicle (UAV) as a mobile relay to assist the communication between two ground users without a direct link. We propose a n…

eess.SP2019★ 107 cited

A New Atomic Norm for DOA Estimation With Gain-Phase Errors

Peng Chen, Zhimin Chen, Zhenxin Cao +1

The problem of direction of arrival (DOA) estimation has been studied for decades as an essential technology in enabling radar, wireless communications, and array signal processing…

eess.SP2018★ 209 cited

Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling

Peng Chen, Zhenxin Cao, Zhimin Chen +1

In the practical radar with multiple antennas, the antenna imperfections degrade the system performance. In this paper, the problem of estimating the direction of arrival (DOA) in…

physics.flu-dyn2018★ 4 cited

Dual solutions for opposing mixed convection in porous media

Jian-Jun Shu, Qi-Wen Wang, Ioan Pop

The problem of steady mixed convection boundary-layer flow on a cooled vertical permeable circular cylinder embedded in a fluid-saturated porous medium is studied. Here, we evaluat…

q-fin.RM2017★ 2 cited

Financial option insurance

Qi-Wen Wang, Jian-Jun Shu

The option is a financial derivative, which is regularly employed in reducing the risk of its underlying securities. However, investing in option is still risky. Such risk becomes…

math.QA2014★ 3 cited

Modular Quantizations of Lie Algebras of Cartan Type K via Drinfeld Twists of Jordanian Type

Zhaojia Tong, Naihong Hu

We construct explicit Drinfel'd twists of Jordanian type for the generalized Cartan type K Lie algebras in characteristic 0 and obtain the corresponding quantizations, especially t…