Article
Mathematics, Applied
Pingping Zhang, Qun Wang
Summary: This paper investigates the MLSSTLS problem that combines MTLS and STLS problems, providing explicit expressions of the solution under certain conditions, conducting perturbation analysis and examining the condition numbers of the solution. Numerical experiments are performed to demonstrate the validity of the results, which can be connected to previously published findings on MTLS and STLS problems.
NUMERICAL ALGORITHMS
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Reza Jabbari, Mohammad Reza Taban, Saeed Gazor
Summary: This article addresses the problem of moving target localization in a distributed radar network with sensor uncertainties. It proposes an estimator that utilizes nuisance variables and selects hyperbolas to solve this problem. Numerical simulations confirm the accuracy and superiority of this method.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Matthias Wurm
Summary: Solving overdetermined linear systems with individual uncertainties is important in various disciplines. This paper presents a robust and fast method for computing the solution and covariance matrix of such systems.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Ji Zhao, J. Andrew Zhang, Hongbin Zhang, Qiang Li
Summary: This paper presents a gradient-descent TLS filtering algorithm based on GCIM for sparse system identification, improving accuracy and simplifying computational complexity, with convergence behavior analyzed. Simulation results confirm the effectiveness of the proposed algorithm in sparse system identification.
Article
Engineering, Multidisciplinary
Yongbo Wang, Kun Yuan, Nanshan Zheng, Zhengfu Bian, Min Yang
Summary: The essence of point cloud registration is to estimate the seven similarity transformation parameters of the Bursa-Wolf model for relative position estimation. The prevalent Gauss-Markov model only considers random errors in one LiDAR station, leading to a significant inconsistency with reality. To address this, the EIV model is introduced with unit quaternions to describe 3D spatial rotation, and an iterative solution is discussed for accurate estimation. Detailed formulas for the seven transformation parameters are derived and verified through three experiments.
Article
Automation & Control Systems
Liang-Qun Li, Ying-chun Sun, Zong-Xiang Liu
Summary: A novel maximum fuzzy correntropy Kalman filter (MFC-KF) algorithm is proposed to optimize the Kalman filter by reducing the effect of common correntropy and applying a new optimization criterion. Combined with the least-squares method and adaptive kernel width setting, the proposed algorithm can track a target more accurately than other traditional Kalman filters.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Haiquan Zhao, Zian Cao
Summary: This article proposes a GMBZTC algorithm based on the generalized maximum Blake-Zisserman robust loss function for handling generalized Gaussian noise in adaptive filtering arithmetic. It also provides a detailed performance evaluation of the algorithm under such noise conditions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Mathematics, Applied
Qiaohua Liu, Cuiping Chen, Qian Zhang
Summary: This paper focuses on perturbation analysis of the total least squares problem with linear equality constraint (TLSE), taking into account different magnitudes of perturbations in input data. The proposed results provide better estimates of forward errors of the solution compared to existing condition numbers. Additionally, it reveals relations between TLSE solution/residual and the ones from the equality constrained least squares problem (LSE), while also recovering various condition numbers and perturbation results for the LSE problem from newly derived results.
APPLIED NUMERICAL MATHEMATICS
(2021)
Article
Chemistry, Analytical
Kai Sun, Dazhi Gao, Xiaojing Zhao, Doudou Guo, Wenhua Song, Yuzheng Li
Summary: In this paper, a method for estimating target motion parameters from tonal signals with a single hydrophone is proposed. By utilizing the modal interference and Doppler shift information carried by the tonal signals, two different parametric coupling curves are obtained, which are then used to estimate the two motion parameters. Simulation experiments validate the rationality of this method, and its effectiveness is demonstrated in practical applications by applying it to real experiments where the estimation errors of the motion parameters are within 10%.
Article
Engineering, Electrical & Electronic
Xiaonan Yao, Xiaoqing Wang, Lixia Liu, Shubo Liu, Xiang Su, Haifeng Huang, Zheng Lu
Summary: This study proposes a high-resolution inversion method for ocean surface current fields based on circular scanning synthetic aperture radar (SAR). The current field is estimated by the proposed method based on the Doppler spectrum of the single complex image to realize high-resolution current vector field inversion. The effectiveness of this method is verified by using airborne circular scanning SAR data.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Mathematics
Hongmei Shi, Xingbo Zhang, Yuzhen Gao, Shuai Wang, Yufu Ning
Summary: This article introduces an uncertain total least squares estimation method and an uncertain robust total least squares linear regression method based on uncertainty theory and total least squares method. These methods can handle non-random and imprecise data and achieve more reasonable fitting effect and reliable results.
Article
Optics
Zhenyu Li, Hui Zhang, Binh Thi Thanh Nguyen, Shaobo Luo, Patricia Yang Liu, Jun Zou, Yuzhi Shi, Hong Cai, Zhenchuan Yang, Yufeng Jin, Yilong Hao, Yi Zhang, Ai-Qun Liu
Summary: The smart sensor achieves label-free multicomponent chemical analysis with a high prediction accuracy and simple detection strategy using a label-free ring resonator and neural network model, promising great potential for applications in various fields.
PHOTONICS RESEARCH
(2021)
Article
Biochemistry & Molecular Biology
Zeying Li, Na Feng, Xinkang Li, Yuan Lin, Xiangzhi Zhang, Baoqiong Li
Summary: This study proposes a simple method to obtain new constructed three-dimensional (3D) EEM spectra based on the original EEM spectra, and applies the N-PLS method to quantify target compounds in these new constructed 3D EEM spectra. Comparison with other methods has shown that the new constructed 3D EEM spectra give better analysis results and can be used for the simultaneous determination of multiple target compounds.
Article
Mathematics
Zhanshan Yang, Xilan Liu
Summary: This paper establishes the HBITLS and NIPALS-TLS algorithms for large-scale problems, analyzing the roundoff error propagation in the HBITLS algorithm, proving the mixed forward-backward stability of both algorithms, and deriving an upper bound for roundoff error to provide a more detailed and clearer approximation of the computed solution.
Article
Acoustics
Zhonghua Tang, Ming Zan, Zhifei Zhang, Zhongming Xu, Enyong Xu
Summary: Operational transfer path analysis (OTPA) is an efficient and widely used method in various engineering fields. However, the accuracy of OTPA is reduced due to errors in operational responses. To improve the accuracy, a Tikhonov regularized total least-squares method (RTLSM) based on the Tikhonov regularized least-squares method (RLSM) is used to estimate the transmissibility matrix, and both simulation and experimental results show that RTLSM is better than RLSM in OTPA.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Electrical & Electronic
Ruichao Zheng, Gang Wang, K. C. Ho
Summary: The article addresses the elliptic localization problem in scenarios where the transmitter position is unknown, proposing a method for joint estimation of object and transmitter positions. By using semidefinite relaxation technique, a convex semidefinite program is formulated to handle the non-convex weighted least squares minimization problem, achieving accuracy comparable to the Cramer-Rao lower bound under Gaussian noise. Simulation results demonstrate superior performance over existing methods, even in scenarios with multiple transmitters and receiver position errors.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Mohannad H. Al-Ali, K. C. Ho
Summary: This paper proposes a method for designing a transmit precoder for a secondary user in MIMO cognitive radio, aiming to optimize the capacity of the SU to improve performance while addressing the channel state information uncertainties, and maintaining the QoS of the PU. The proposed technique outperforms previous designs by using a more accurate and efficient approach and the variable metric projected subgradient method.
Article
Engineering, Aerospace
Musaab M. Ahmed, K. C. Ho, Gang Wang
Summary: This article proposes two algorithms for localizing or analyzing the motion of a moving target using stationed sensors. The first algorithm is computationally efficient and the second algorithm is robust against noise. They can handle situations with known or unknown target frequency and sensor position errors. Sequential algorithms are also proposed for reducing latency and complexity.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Yang Yang, Jibin Zheng, Hongwei Liu, K. C. Ho, Yangquan Chen, Zhiwei Yang
Summary: This paper focuses on the problem of source tracking in the 3-D space using a time-difference-of-arrival-based localization system. It considers a realistic data model and addresses the optimal sensor placement and proposes a source tracking scheme guided by the optimal sensor placement configuration.
Letter
Engineering, Aerospace
Tianyi Jia, Haiyan Wang, Gang Wang, K. C. Ho
Summary: This article investigates the localization of a stationary target using time-delay and Doppler shift measurements obtained by moving monostatic sensors that consider the sensor motion during the localization period. By proposing a new optimization formulation, the article develops two new localization solutions, one in closed form and the other through semi-definite relaxation (SDR). The new formulation allows for a reduction in auxiliary variables and additional constraints, resulting in fewer sensors needed and improved noise tolerance. Simulation results confirm the better performance of the proposed solutions compared to previous ones.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Computer Science, Information Systems
Yimao Sun, K. C. Ho, Gang Wang, Hongyang Chen, Yanbing Yang, Liangyin Chen, Qun Wan
Summary: This article proposes a new localization algorithm that can achieve low energy consumption, sufficient robustness, and has been validated through theoretical analysis and real data experiments.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yimao Sun, K. C. Ho, Yanbing Yang, Lei Zhang, Liangyin Chen
Summary: This paper focuses on the time of arrival (TOA) localization problem with limited number of sensors and high noise levels. A location estimator consisting of a coarse solution and a refined estimate is proposed to enhance the quality of the coarse solution. The proposed estimator is closed-form, simple to compute, asymptotically unbiased, and matches the Cramer-Rao lower bound analytically. Simulations demonstrate the effectiveness of the proposed algorithm in noise and error-prone environments.
Review
Biophysics
Huijie Li, Jianhe Yuan, Gavin Fennell, Vagif Abdulla, Ravi Nistala, Dima Dandachi, Dominic K. C. Ho, Yi Zhang
Summary: This article discusses the latest developments in wearable sensors capable of continuous monitoring of disease symptoms related to COVID-19, emphasizing the importance of this technology in early determination of disease severity, reducing morbidity and mortality.
BIOPHYSICS REVIEWS
(2023)
Article
Engineering, Electrical & Electronic
Zhenguo Jiang, Gang Wang, K. C. Ho, Yimao Sun
Summary: In this study, a two-stage estimation method is proposed to solve the multi-object elliptic localization problem. The method does not require prior information and is computationally efficient, achieving performance close to the Cramer-Rao lower bound under correct data association and uncorrelated noise.
Proceedings Paper
Engineering, Electrical & Electronic
Peng Xiang, Gang Wang, Dominic K. C. Ho
Summary: This paper proposes a method to address object localization problem using angle-of-arrival measurements. By converting the measurement model and applying the SDR technique, the proposed method reduces bias and shows good performance.
2022 IEEE 12TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Yudong Xiao, Gang Wang, K. C. Ho
Summary: This paper addresses the problem of elliptic localization in the presence of clock synchronization errors. A generalized trust region subproblem (GTRS) formulation is proposed for solving the problem, and simulation results show that the proposed method outperforms existing methods.
2022 IEEE 12TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM)
(2022)
Proceedings Paper
Acoustics
Ruichao Zheng, Gang Wang, K. C. Ho, Lei Huang
Summary: This paper addresses the multistatic localization of a moving object using time delay and Doppler frequency shift measurements. A non-convex weighted least squares problem is formulated and solved using convex semidefinite relaxation. The simulation results show that the proposed method achieves high accuracy and outperforms existing methods under mild Gaussian noise conditions.
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
(2022)
Proceedings Paper
Engineering, Mechanical
Jackson Moeller, Dominic K. C. Ho, Derek Anderson
Summary: This research explores the use of ellipse feature for wire detection. By filtering, edge detection, and ellipse fitting in the cross-section image of wires, it is possible to detect and discriminate wires from clutter objects effectively.
CHEMICAL, BIOLOGICAL, RADIOLOGICAL, NUCLEAR, AND EXPLOSIVES (CBRNE) SENSING XXIII
(2022)
Article
Engineering, Electrical & Electronic
K. C. Ho
Summary: This paper explores the possibility of using moving transceivers to improve the localization of a distant object by time delay measurements. The observability of localization is investigated under certain conditions related to the geometry, and the minimum number of sensors and transceivers needed for 2-D and 3-D positioning are derived. The joint and sequential estimations of transceiver parameters and object location, as well as the compensation of transceiver time lags using inaccurate calibration copy, are studied. Simulations validate the theoretical development and demonstrate the Maximum Likelihood localization performance.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Yimao Sun, K. C. Ho, Lin Gao, Jifeng Zou, Yanbing Yang, Liangyin Chen
Summary: This paper investigates the positioning performance of angle-based localization in three-dimensional space using one-dimensional space angle measurements. It develops an optimal solution and eliminates restrictions on the height and orientation of linear array receivers. The paper also compares the accuracy and performance of angle observation to traditional methods.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
