Article
Chemistry, Analytical
Guy Eliyahu, Amnon Menashe Maor, Roei Meshar, Reem Mukamal, Anthony J. J. Weiss
Summary: This article explores the potential of using a single moving antenna for direction finding of a single transmitter. The advantages of a single-antenna sensor include its small size, lack of need for synchronization, lack of mutual antenna coupling, and lower cost. However, it requires accurate position knowledge and faces challenges such as transmitter phase instability and signal modulation.
Article
Chemistry, Analytical
Paolo Grasso, Mauro S. Innocente, Jun Jet Tai, Olivier Haas, Arash M. Dizqah
Summary: This paper presents a comprehensive study of the precision, failure, and accuracy of 2D IPSs based on UWB technology. The findings and developments are experimentally validated, showing an improvement in accuracy using a debiasing filter.
Article
Computer Science, Information Systems
Jiaheng Li, Feng Tong, Yuehai Zhou, Yi Yang, Zhiqiang Hu
Summary: This article proposes a signal reconstruction-based method for direction of arrival (DOA) estimation to address the shadow effect caused by shape fusion in sound source localization. By dividing the array into restricted elements and normal elements, and reconstructing the signal of restricted elements, the degrees of freedom are increased and the accuracy of DOA estimation is improved.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Physics, Multidisciplinary
Rongyan Zhou, Jianfeng Chen, Weijie Tan, Qingli Yan, Chang Cai
Summary: This paper investigates sensor placement optimization in three-dimensional space for AOA target localization with Gaussian priors. A method using 3D rotation for optimal sensor placement is proposed, demonstrating lower MSE with nearly zero estimation bias compared to existing methods for 3-6 sensors.
Article
Chemistry, Analytical
Chao Zheng, Wei Hu, Jiyan Huang, Pengfei Wang, Yufei Liu, Chenyu Yang
Summary: This paper proposes two location methods based on multi-spot measurements to reduce location errors. The methods provide better performance than traditional one-spot measurement methods in terms of root mean square error and Cramer-Rao lower bound. The simulation results show that the proposed methods have lower RMSE than traditional methods.
Article
Engineering, Electrical & Electronic
Yonghua Chen, Hua Yu, Jie Li, Qisen Wang, Fei Ji, Fangjiong Chen
Summary: This article proposes two 1-D AOA-based source localization methods. The first method uses the iterative reweighted least square (IRLS) to obtain a coarse solution and a deviation refinement (DR) procedure to refine the estimation. The second method addresses the maximum likelihood estimation (MLE) and introduces a modified Levenberg-Marquardt (MLM) method with a new selection strategy of the regularization parameter.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Marine
Ying Liu, Yingmin Wang, Cheng Chen
Summary: Underwater acoustic localization (UWAL) is challenging due to multipath, position uncertainty, and lack of data. This paper proposes a simple and effective method using TDOA measurements based on multipath. The method improves localization performance and achieves CRLB with small deviation.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Rongyan Zhou, Jianfeng Chen, Weijie Tan, Chang Cai
Summary: This paper investigates a sensor selection scheme for optimal target localization in Underwater Wireless Sensor Networks (UWSN) using three-dimensional Angle of Arrival (AOA) estimation. The study presents a new 3-D AOA-based localization measurement model considering correlated noises and Gaussian priors. The performance of the proposed method is evaluated through simulations, where it outperforms reference methods and approaches the exhaustive search method.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Clement Chahbazian, Karim Dahia, Nicolas Merlinge, Benedicte Winter-Bonnet, Aurelien Blanc, Christian Musso
Summary: The paper derives a recursive formula of the Fisher information matrix on Lie groups and applies it to nonlinear Gaussian systems on Lie groups for testing. The proposed recursive CRLB is consistent with state-of-the-art filters and exhibits representative behavior in estimation errors. This paper provides a simple method to recursively compute the minimal variance of an estimator on matrix Lie groups, which is fundamental for implementing robust algorithms.
Article
Engineering, Electrical & Electronic
Xiangpei Meng, Youming Li, Zhenqian Wu, Shunli Hong, Shengming Chang
Summary: This article discusses the localization of mobile sources using both time of arrival and Doppler frequency shift (TOA-DFS) measurements with nonuniform velocity. The authors propose a weighted least-squares (WLS) problem and a maximum likelihood (ML) estimator for position estimation. Convex relaxation and semidefinite programming (SDP) techniques are used to tackle the nonconvexity of these problems. The proposed methods based on TOA-DFS measurements are shown to significantly enhance localization accuracy through Cramer-Rao lower bound (CRLB) analysis and results.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Ruhul Amin Khalil, Nasir Saeed, Muhannad Almutiry
Summary: This paper investigates the problem of passive target localization using mobile unmanned aerial vehicles (UAVs), proposes a novel TDOA model for target localization with mobile UAVs, and measures the performance limit between its Cramer-Rao lower bound (CRLB) and the mean-squared error (MSE).
Article
Engineering, Electrical & Electronic
Shanwu Li, Faraz Abed Azad, Yongchao Yang
Summary: This study investigates the fundamental sensitivity limit of optical displacement measurement methods by deriving the Cramer-Rao lower bound, which represents the minimum standard deviation of measurable displacement.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Liang Zhang, Tao Zhang, Hyo-Sang Shin, Xiang Xu
Summary: This article addresses the underwater acoustical localization problem using TDOA and BAOA measurements, developing a closed-form solution for the hybrid TDOA/BAOA-based source localization problem. An iterative constrained weighted least-squares method is presented to minimize error in the case of large noise. The solution is proven to achieve the CRLB performance, outperforming traditional methods in estimation bias and accuracy, achieving better CRIB performance.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Erfan Mehdipour Abadi, Cagri Goken, Cuneyd Ozturk, Sinan Gezici
Summary: This article focuses on the secure transmission of a deterministic vector parameter from a transmitter to an intended receiver in the presence of a smart eavesdropper. It provides theoretical insight into the optimal power allocation and optimal linear encoding strategies to maximize the estimation performance at the intended receiver.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Environmental Sciences
Ming Gao, Xiaolan Qiu, Yao Cheng, Junwei Lv, Chibiao Ding
Summary: This paper investigates the motion error estimation model for Synthetic Aperture Radar (SAR) carried by small Unmanned Aerial Vehicles (UAVs). By deriving the Cramer-Rao Lower Bound (CRLB), the factors affecting estimation accuracy are determined, and an improved autofocus method is proposed to suppress noise more effectively and enhance estimation accuracy.
