Article
Computer Science, Information Systems
Bingbing Qi, Xiaogang Liu, Daowei Dou, Yan Zhang, Runze Hu
Summary: The proposed method enhances the resolution capability of Toeplitz matrix reconstruction methods for coherent signals by using the Khatri-Rao subspace and linear processing. It achieves higher resolution and reduced complexity.
Article
Mathematics, Applied
Sheng Dong, Qingwen Wang, Lei Hou
Summary: This paper provides an alternative proof for a result by Liu et al., and presents two inequalities for the block Hadamard product and the Khatri-Rao product. These inequalities extend the previous result by Liu et al.
Article
Engineering, Electrical & Electronic
Xiaogang Liu, Bingbing Qi
Summary: The Khatri-Rao subspace methods utilize the characteristics of the Khatri-Rao product of the array response to achieve the extension of the physical aperture and further resolve the quasi-stationary signals in the underdetermined cases. However, the estimation performance of the existing Khatri-Rao subspace methods suffers from the input signal-to-noise (SNR). A proposed enhanced Khatri-Rao subspace method based on beamspace processing for the DOA estimation addresses these problems and improves the estimation accuracy.
DIGITAL SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
S. V. N. Randriambelonoro, G. Favier, R. Boyer
Summary: This paper introduces a new MIMO communication system in a time-varying multipath environment, showcasing a semi-blind receiver capable of estimating transmitted symbols and multipath parameters effectively.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Lei Wang, Tianyao Huang, Yimin Liu
Summary: This paper investigates the problem of range-Doppler reconstruction in RSFR using block sparse recovery. Theoretical analysis and simulation results demonstrate the superiority of block sparse recovery over conventional sparse recovery in RSFRs. A bound on the radar parameters is established to guarantee the exact recovery of range-Doppler information.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Engineering, Aerospace
Shuai Liu, Yunhe Cao, Tat-Soon Yeo, Fengfei Wang, Jiusheng Han
Summary: This article introduces a novel range sidelobe suppression filter design method based on convex optimization for RSF chirp waveform, which helps RSF radar obtain target HRRP with much lower sidelobes, providing a new solution for the high noise-like sidelobes issue caused by matched filtering in RSF radar.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Nil Garcia, Alessio Fascista, Angelo Coluccia, Henk Wymeersch, Canan Aydogdu, Rico Mendrzik, Gonzalo Seco-Granados
Summary: This paper investigates the fundamental connection between the accuracy of automotive radars and the state of the target vehicle. By using mathematical models and analytical derivations, the effects of extended vehicle shape on radar performance are accurately captured, revealing the main dependencies on received energy, bandwidth, and array size. Simulation results validate the theoretical findings, including the diversity effect of multiple radars sensing extended targets.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Mathematics
Yongtao Li, Lihua Feng
Summary: The paper discusses the Khatri-Rao product as a generalization of the Hadamard product for block matrices, providing an Oppenheim type determinantal inequality for two block positive semidefinite matrices and extending the result to multiple block matrices.
OPERATORS AND MATRICES
(2021)
Article
Computer Science, Information Systems
Saurabh Khanna, Chandra R. Murthy
Summary: This work provides non-asymptotic probabilistic guarantees for successful recovery of jointly sparse Gaussian sources. By marginalized maximum likelihood estimation, the nonconvex constrained optimization can perfectly recover the nonzero support, with the support error probability decaying exponentially with the number of MMVs.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Tateki Kato, Hiroyoshi Yamada, Hiroki Mori
Summary: The main objective of this study is to develop a low-cost security system that does not impede the flow of people. A high-resolution millimeter-wave MIMO radar with non-uniform planar arrays for transmitter and receiver was developed and its spatial resolution was evaluated through experiments.
2022 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Honoka Hazawa, Hiroyoshi Yamada, Hiroki Mori
Summary: The research aims to establish a security system for detecting the possession of dangerous materials and achieving 3D imaging using millimeter-wave radar. The study found that the imaging quality is affected by both the magnitude and phase of the correlation coefficient.
2020 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP)
(2021)
Article
Engineering, Electrical & Electronic
Wei Kang, Songsong Qian, Zhicheng Sang, Wen Wu
Summary: This article presents a stepped-frequency hybrid modulation methodology, which can effectively perform respiration monitoring, localization, and target trajectory tracking. By combining the advantages of frequency-shift keying and chirp mode, the proposed method overcomes the limitations of traditional radar in distance and displacement measurement. Additionally, the flexibility of this method enables the implementation of a frequency scanning array, providing a simple and cost-efficient means for fast beam steering.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2022)
Article
Mathematics, Applied
Fabian Jaensch, Peter Jung
Summary: This paper considers a structured estimation problem where an observed matrix is assumed to be a linear combination of given positive-semi-definite matrices. Recovering the unknown weights from noisy observations is an important problem in signal processing and covariance estimation. The problem is formulated as a convex program and can be solved without further tuning. The paper focuses on the non-negative weights case and presents recovery guarantees. It also shows that the convex program can recover non-negative sparse weights with a parameter-free approach.
INFORMATION AND INFERENCE-A JOURNAL OF THE IMA
(2022)
Article
Mathematics
Wei-Hui Liu, Ze-Jia Xie, Xiao-Qing Jin
Summary: This paper examines inequalities for the Frobenius norm of matrix commutators based on various products, and explores the characterization of their corresponding maximal pairs.
OPERATORS AND MATRICES
(2021)
Article
Engineering, Electrical & Electronic
Xin Lai, Xiaofei Zhang, Wang Zheng, Penghui Ma
Summary: This paper investigates the joint direction of departure (DoD) and direction of arrival (DoA) estimation problem with bistatic MIMO radar. The proposed weaved co-prime array (WCA) bistatic MIMO (WCA-bMIMO) radar and the two-dimensional spatial smoothing method are introduced to tackle the rank deduction problem and extract the joint DoD and DoA estimates using a three-way tensor model. Numerical simulation results demonstrate the superiority of the proposed bistatic co-prime MIMO radar in accuracy and resolution.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
