Article
Engineering, Electrical & Electronic
Junhui Qian, Leilei Zhao, Xiaohong Shi, Ning Fu, Shiyuan Wang
Summary: This paper presents a novel cooperative design for a radar-communication spectral sharing system with a multiple-input multiple-output (MIMO) structure based on mutual information optimization. A new spectral sharing framework is proposed to maximize the radar mutual information, where the transmit sequences are designed simultaneously based on radar and communication system mutual information optimization. An iterative procedure is devised to maximize the radar mutual information under various constraints. The proposed approach decomposes the original design into two simpler subproblems and provides a closed-form solution using alternating optimization techniques. Simulation results demonstrate the advantages of the proposed schemes.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Alaee-Kerahroodi, Ehsan Raei, Sumit Kumar, Bhavani M. R. R. Shankar
Summary: This paper presents a spectrum-sharing prototype that demonstrates the application of waveform optimization for coexistence between communications and cognitive radar systems. By sensing the environment in real-time and sequentially optimizing radar transmit waveform, the proposed algorithm's performance is validated and evaluated through experiments.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Aerospace
Shammi A. Doly, Alex R. Chiriyath, Hans D. Mittelmann, Daniel W. Bliss, Shankarachary Ragi
Summary: In this article, a new waveform codesign approach for radar-communications spectral coexistence is developed using the decision-theoretic framework called POMDP. By trading off short-term and long-term performance, the approach addresses waveform codesign problems with competing objectives and dynamic user needs. The computational complexity of POMDP is mitigated using two approximation methods.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Xianxiang Yu, Xue Yao, Jing Yang, Lidong Zhang, Lingjiang Kong, Guolong Cui
Summary: This paper proposes an integrated waveform design method to achieve both radar beampattern and multi-users communication in a MIMO system. The method adjusts the spatial waveform energy spectral density for communication and minimizes the integrated sidelobe level for radar detectability. Experimental results demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Tong Wei, Linlong Wu, Bhavani Shankar Mysore Rama Rao
Summary: This paper investigates the joint design problem for the coexistence of multiple-input multiple-output (MIMO) radar and multi-user multiple-input-single-output (MU-MISO) communication. By designing the transmit waveform, precoding matrix and receive filter, the radar SINR and the minimal SINR of communication users can be maximized simultaneously, achieving promising overall performance for both sensing and communication.
IET SIGNAL PROCESSING
(2022)
Article
Computer Science, Information Systems
Pengcheng Gong, Kaiyan Xu, Yuntao Wu, Jing Zhang, Hing Cheung So
Summary: This study investigates the spectral efficiency of a MIMO radar with FDA and a MIMO communication system in the same frequency band. A joint design of the transmit waveform and receive filter of the radar, as well as the code-book employed by the communication system, is proposed to suppress mutual interference and enhance radar system's LPI capability. The problem formulation aims to maximize the SINR and minimize the probability of target detection of the radar signal under constraints. An iterative algorithm is developed to solve the non-convex problem, and simulation results demonstrate the effectiveness of the approach in reducing mutual interference and improving the SINR and LPI for the radar system.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Suleman Mir, Inam Bari, Mohsin Kamal, Haider Ali
Summary: This paper addresses the waveform design and spectrum sharing problem between MIMO radar and MIMO communication system by introducing an additional elevation angle. By using BPSK waveforms and machine learning, the constrained nonlinear optimization problem is successfully converted into an unconstrained optimization problem.
Article
Engineering, Electrical & Electronic
Junhui Qian, Luca Venturino, Marco Lops, Xiaodong Wang
Summary: This paper investigates the spectral coexistence between a MIMO communication system and a MIMO radar with non-homogeneous interference. Two joint resource allocation formulations are considered to optimize the relationship between SINR and communication mutual information, with a proposed solution and numerical examples provided for evaluation.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Mohamed Rihan, Alessio Zappone, Stefano Buzzi
Summary: This paper addresses the co-existence problem between a radar and a communication system that share the same frequency band, and investigates the role of a reconfigurable intelligent surface (RIS) in improving system performance and facilitating co-existence. By optimizing the radar signal to interference plus noise ratio (SINR), the optimal transmit beamformer and reflection coefficients are determined, achieving promising results.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Xin He, Lei Huang
Summary: This paper proposes a design for antenna coexistence between multiple-input multiple-output (MIMO) radar and MIMO communication, considering Gaussian model uncertainty. The design aims to address the issues of mutual interference and model uncertainty by jointly optimizing the transceivers of the radar and communication systems to minimize total transmit power while guaranteeing the SINRs or ESINR of the radar system and the MSE of the communication system. The paper introduces safe approximations for probabilistic constraints and a converged iterative algorithm for the joint transceiver design. Simulation results demonstrate the convergence of the proposed algorithm and the robustness of the coexistence system against model uncertainty, albeit with the use of additional transmit power.
IET SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Cui Zhang, Jifang Pei, Yujie Zhang, Yin Zhang, Weibo Huo, Yulin Huang, Xuegang Wang
Summary: This article investigates joint waveform design to address the problem of weak target obscuration in a spectrum-congested environment. By constructing a novel design criterion and utilizing an iterative sequential quartic optimization algorithm framework, the designed waveforms are able to suppress the interested range-Doppler block level while satisfying spectral coexistence requirements and possessing the ability to reject narrow-band spectrum interference.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Engineering, Aerospace
Augusto Aubry, Vincenzo Carotenuto, Antonio De Maio, Alfonso Farina, Alessio Izzo, Rosario Schiano Lo Moriello
Summary: This article discusses the effects of power amplifiers (PAs) on radar waveforms and proposes a solution using a digital predistortion (DPD) stage upstream the PA to alleviate spectral distortions and improve spectral coexistence. Experimental results confirm the effectiveness of this approach.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Yuanyuan Liang, Gongjian Wen, Lingxiao Zhu, Dengsanlang Luo, Haibo Song
Summary: This article systematically studies the detection power of a distributed MIMO radar system. It proposes an exhaustive grid search method and a fast boundary estimation method to determine the detection power space. Furthermore, three DPS regularization schemes are developed based on the convex optimization theory.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Sungwook Kim
Summary: In this paper, a joint radar sensing and communication (JSC) system based on cooperative spectrum sharing strategy is investigated. The proposed scheme utilizes cooperative game theory to achieve mutually desirable and efficient spectrum allocation among roadside units and individual vehicles. The main contribution is the combination of coalitional Nash bargaining solution (CNBS) and coalitional Kalai-Smorodinsky bargaining (CKSBS) to obtain synergetic effects.
