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time delay estimation in Radar System using Fuzzy Based Iterative Unscented Kalman Filter

Computer Systems Science & Engineering 2023年第3期44卷 2569-2583页

作者： T.Jagadesh B.Sheela Rani Faculty of Electronics Engineering Sathyabama Institute of Science and TechnologyChennai600119India Department of ECE KPR Institute of Engineering and TechnologyCoimbatore641407India Sathyabama Institute of Science and Technology Chennai600119India

RSs(Radar Systems)identify and trace targets and are commonly employed in applications like air traffic control and remote sensing.They are necessary for monitoring precise target trajectories.estimations of RSs are non-linear as the parameters TDEs(time delay estimations)and Doppler shifts are computed on receipt of echoes where EKFs(Extended Kalman Filters)and UKFs(Unscented Kalman Filters)have not been examined for computations.RSs,certain times result in poor accuracies and SNRs(low signal to noise ratios)especially,while encountering complicated environments.This work proposes IUKFs(Iterated UKFs)to track onlinefilter performances while using optimization techniques to enhance outcomes.The use of cost functions can assist state corrections while lowering costs.A new parameter is optimized using MCEHOs(Mutation Chaotic Elephant Herding Optimizations)by linearly approximating system non-linearity where OIUKFs(Optimized Iterative UKFs)predict a target's unknown parameters.To obtain optimal solutions theoretically,OIUKFs take less iteration,resulting in shorter execution times.The proposed OIUKFs provide numerical approximations which are derivative-free implementations.Simulation evaluation results with estimators show better performances in terms of reduced NMSEs(Normalized Mean Square Errors),RMSEs(Root Mean Squared Errors),SNRs,variances,and better accuracies than current approaches.

关键词： Radar system unscented kalmanfilter extended kalmanfilter optimized iterative unscented kalmanfilter mutation chaotic elephant herding optimization time delay estimation

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Robust decoupling control of a parallel kinematic machine using the time-delay estimation technique

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Science China(Technological Sciences) 2023年第7期66卷 1916-1927页

作者： ZHANG HaiFeng YE Wei LI QinChuan School of Mechanical Engineering Zhejiang Sci-Tech UniversityHangzhou 310018China

This paper proposes a robust decoupling control scheme using a time-delay estimation technique for a parallel kinematic machine to enhance its trajectory tracking performance.The dynamic model of a parallel kinematic machine(PKM)is a multivariable nonlinear strongly coupled system that is always affected by uncertainties and external disturbances.The proposed controller employs the time-delay estimation(TDE)technique to estimate the dynamic model of a PKM with uncertainties and disturbances,thus obtaining a simple model structure.The TDE technique involves estimating the unknown system dynamics by intentionally using a time-delayed signal,which will inevitably lead to estimation errors.Hence,the proposed controller effectively reduces the unfavourable TDE error by combining fast and robust integral terminal sliding mode control with TDE(TDE-ITSMC).In turn,the TDE technique can reduce the upper bound on the switching gain in the sliding mode control(SMC)scheme,which reduces damage to the robot.Finally,comparative experimental studies with other controllers confirm that TDEITSMC offers excellent trajectory tracking accuracy and is a practical robust control scheme for PKMs.

关键词： robust control parallel kinematic machine sliding mode control time delay estimation

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Adaptive sliding mode control of modular self-reconfigurable spacecraft with time-delay estimation

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Defence Technology（防务技术） 2022年第12期18卷 2170-2180页

作者： Xin-hong Li Zhi-bin Zhang Ji-ping An Xin Zhou Gang-xuan Hu Guo-hui Zhang Wan-xin Man Department of Aerospace Science and Technology Space Engineering UniversityNo.1 BaYi RoadHuaiRou DistrictBeijing101416China Beijing Institute of Remote Sensing Information Beijing100192China

The reconstruction control of modular self-reconfigurable spacecraft (MSRS) is addressed using an adaptive sliding mode control (ASMC) scheme based on time-delay estimation (TDE) technology. In contrast to the ground, the base of the MSRS is floating when assembled in orbit, resulting in a strong dynamic coupling effect. A TED-based ASMC technique with exponential reaching law is designed to achieve high-precision coordinated control between the spacecraft base and the robotic arm. TDE technology is used by the controller to compensate for coupling terms and uncertainties, while ASMC can augment and improve TDE’s robustness. To suppress TDE errors and eliminate chattering, a new adaptive law is created to modify gain parameters online, ensuring quick dynamic response and high tracking accuracy. The Lyapunov approach shows that the tracking errors are uniformly ultimately bounded (UUB). Finally, the on-orbit assembly process of MSRS is simulated to validate the efficacy of the proposed control scheme. The simulation results show that the proposed control method can accurately complete the target module’s on-orbit assembly, with minimal perturbations to the spacecraft’s attitude. Meanwhile, it has a high level of robustness and can effectively eliminate chattering.

关键词： Adaptive sliding mode control(ASMC) time delay control time delay estimation Modular self-reconfigurable spacecraft Uncertainty Coordinated control

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Weighting Function Modification Used for Phase Transform-Based time delay estimation

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China Communications 2022年第11期19卷 241-256页

作者： Xue Yang Changchun Bao Zihao Cui Speech and Audio Signal Processing Laboratory Faculty of Information TechnologyBeijing University of TechnologyBeijing 100124China

Generalized cross-correlation is considered as the most straightforward time delay estimation algorithm.Depending on various weighting function,different methods were derived and a straightforward method,named phase transform(PHAT)has been widely used.PHAT is well-known for its robustness to reverberation and its sensitivity to noise,which is partly due to the fact that PHAT distributes same weights to the frequencies dominated by signal or noise.To alleviate this problem,two weighting functions are proposed in this paper.By taking a posteriori signal-to-noise ratio(SNR)into account to classify reliable and unreliable frequencies,different weights could be assigned.The first proposed weighting function borrows the idea of binary mask and distributes same weights to frequencies in same set,whereas,the second one assigns weights based on coherence function.Experiments showed the robustness of proposed methods to reverberation and noise for improving the performance of time delay estimation through various criteria.

关键词： time delay estimation generalized crosscorrelation PHAT a posteriori SNR coherence function

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Locating the position of objects in non-line-of-sight based on time delay estimation

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Chinese Physics B 2016年第8期25卷 163-169页

作者：王雪峰王元庆苏金善杨兴雨 School of Electronic Science and Engineering Nanjing University School of Electronic Information Engineering Yili Normal University

Non-line-of-sight imaging detection is to detect hidden objects by indirect light and intermediary surface（diffuser）.It has very important significance in indirect access to an object or dangerous object detection, such as medical treatment and rescue. An approach to locating the positions of hidden objects is proposed based on time delay estimation. The time delays between the received signals and the source signal can be obtained by correlation analysis, and then the positions of hidden objects will be located. Compared with earlier systems and methods, the proposed approach has some modifications and provides significant improvements, such as quick data acquisition, simple system structure and low cost, and can locate the positions of hidden objects as well： this technology lays a good foundation for developing a practical system that can be used in real applications.

关键词： non-line-of-sight time delay estimation cross-correlation hidden object location

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Narrowband time delay estimation based on correlation coefficient

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Journal of Systems Engineering and Electronics 2009年第5期20卷 937-941页

作者： Gao Yang Qiu Tianshuang Sha Lan Zhao Yanbin School of Electronic and Information Engineering Dalian Univ. of Technology Dalian 116024 P. R. China

The problems of time delay estimation of narrowband signals are presented. The disadvantages of the existing algorithms are analyzed, and a new narrowband time delay estimating algorithm based on correlation coefficient is proposed. The original time delay information is transfered into the delay between the autocorrelation and cross-correlation function, and the precise estimating result by wave-comparison is given. The algorithm proposed here is also compared with other algorithms and its advantages over other algorithms are proved. The theoretical analysis and simulation show the effectiveness of the proposed algorithm.

关键词： time delay estimation narrowband signal correlation coefficient.

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time delay estimation of chirp signal under chaotic environment

Time delay estimation of chirp signal under chaotic environm...

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2007 8th International Conference on Electronic Measurement & Instruments（ICEMI’2007）

作者： Xing Hongyan Tang Juan Xu Wei (School of Electronics and Information Engineering Nanjing University of Information Science & Technology) School of Electronics and Information Engineering Nanjing University of Information Science and Technology China

In this paper, the adaptive time delay estimation algorithm based on wavelet transform is presented by combing the multiresolution wavelet analysis and LMS algorithm. Furthermore, the validity of this algorithm is studied to estimate the time delay of the chirp signal which is under the chaotic environment. The experimental result shows that the time delay could be estimated precisely despite the SCR （Signal to Chaotic signal Ratio） below -40dB. When this algorithm is applied to the chaotic background which includes Gaussian white noise （SNR=-5dB and SCR=-12dB）, the time delay could also be estimated precisely, but the performance of the algorithm drops.

关键词： wavelet analysis time delay estimation chaotic signal

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Joint Noise Reduction and lp-Norm Minimization for Enhancing time delay estimation in Colored Noise

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Journal of Computer and Communications 2016年第3期4卷 46-53页

作者： Jingxian Tu Youshen Xia College of Mathematics and Computer Science Fuzhou University Fuzhou China

time delay estimation (TDE) is an important issue in signal processing. Conventional TDE algorithms are usually efficient under white noise environments. In this paper, a joint noise reduction and -norm minimization method is presented to enhance TDE in colored noise. An improved subspace method for colored noise reduction is first performed. Then the time delay is estimated by using an -norm minimization method. Because the clean speech signal form the noisy signal is well extracted by noise reduction and the -norm minimization method is robust, the TDE accuracy can be enhanced. Experiment results confirm that the proposed joint estimation method obtains more accurate TDE than several conventional algorithms in colored noise, especially in the case of low signal-to-noise ratio.

关键词： time delay estimation Speech Enhancement Noise Reduction Subspace

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Super-Resolution time delay estimation Algorithm for Systems with Band-Limited Pulse Shapes

Super-Resolution Time Delay Estimation Algorithm for Systems...

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ICEMI'2005第七届国际电子测量与仪器学术会议

作者： Liu Zhengjun Wang Li and Ji Zhongmei (Communication Engineering Department Information Engineering University Zhengzhou China)

A new algorithm for accurate time delay estimation of overlapping fading multipath components is presented based on a modified MUSIC algorithm. By using a sliding window, the proposed algorithm can pe

关键词： time delay estimation super-resolution techniques band-limited pulse.

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Multivariate time delay estimation Based on Dynamic Characteristic Analytics

Multivariate Time Delay Estimation Based on Dynamic Characte...

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第三十九届中国控制会议

作者： Xu Chen Chunhui Zhao State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University State Key Laboratory of Process Automation in Mining & Metallurgy Beijing Key Laboratory of Process Automation in Mining &Metallurgy

time delay widely exists among industrial process variables, which may lead to invalid description of systems and reduce the model accuracy for soft sensor, process monitoring etc. Therefore, it is crucial to estimate time delay for improving model accuracy. In traditional research, time delay estimation（TDE） algorithm for two variables is fully investigated, but little research pays attention to multivariate. The method of pairwise comparison may not only cause high calculation complexity but also cut off the correlation between multivariate. In this work, a new TDE algorithm is proposed to estimate time delay between multivariate, which extracts dynamic latent variable to represent the process using improved dynamic inner PCA algorithm（DiPCA）. Dynamic latent variable extracts the autocorrelation and cross-correlation between process variables. Take it as a standard and analyze the time delay, so that the influence of multivariate variables could be comprehensively considered. Since there may be non-linear variables, the significant factor（SF） is used for variable selection, and the multivariate variables are divided into multiple linear subgroups, which makes the analysis result more reasonable. The effectiveness is illustrated with two numerical examples and the Tennessee Eastman process.

关键词： time delay estimation process dynamics dynamic latent variable variable selection multivariate

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