A5005038752- Target Tracking and Data Fusion in Sensor Networks
- Radar Systems and Signal Processing
- Blind Source Separation Techniques
- Inertial Sensor and Navigation
- Distributed Sensor Networks and Detection Algorithms
- Indoor and Outdoor Localization Technologies
- Advanced Adaptive Filtering Techniques
- Maritime Navigation and Safety
- Medical Image Segmentation Techniques
- Gaussian Processes and Bayesian Inference
- Diabetic Foot Ulcer Assessment and Management
- Cell Image Analysis Techniques
- Optical measurement and interference techniques
- Structural Health Monitoring Techniques
- Icing and De-icing Technologies
- Aerospace Engineering and Energy Systems
- Remote-Sensing Image Classification
- Surface Roughness and Optical Measurements
- Sparse and Compressive Sensing Techniques
- IoT-based Smart Home Systems
- Thin-Film Transistor Technologies
- Advanced Fiber Optic Sensors
- Infrared Target Detection Methodologies
- Smart Materials for Construction
- Advanced Optical Imaging Technologies
State Key Laboratory of Information Photonics and Optical Communications
2024
Beijing University of Posts and Telecommunications
2024
BOE Technology Group (China)
2024
Beihang University
2018-2021
University of Hong Kong
2009-2015
Peking University
2010
In this study, an automatic muscle fiber orientation tracking approach based on Bayesian Kalman Filter (BKF) is proposed. The BKF employs a Gaussian mixture (GM) representation of the state and noise densities novel direct density simplifying algorithm for avoiding exponential complexity growth conventional filters (KFs) using GM. paper, ultrasound image firstly enhanced by bank Gabor Filters (GFs) GM in BKF. Then, localized radon transforms (LRTs) are used to extract orientations dominant...
It causes a lot of accidents and influences power system security during the ice disaster, but there are rare effective real-time monitoring techniques on transmission lines reported. To solve this problem, calculate model based Fiber Bragg Grating (FBG) strain sensor temperature is proposed, illuminated available by computer simulation.
Conventional multi-sensor multi-target multi-Bernoulli (MS-MeMBer) filters are based on the assumption that each target produces at most one measurement per time step. However, this is not always reasonable in practice as an extended can generate multiple measurements step due to recent improvement sensor resolution. In case, a potential estimation bias may occur current MS-MeMBer filters. Therefore, novel filter and its Gaussian inverse Wishart mixture implementation given paper....
This paper evaluates the efficacy of recursive least squares (RLS) in adaptive noise canceller (RLS-ANC) for fast extraction somatosensory evoked potentials (SEPs). The RLSANC method was verified by simulation electroencephalography (EEG) and Gaussian contaminated SEP signals at different signal-to-noise ratios (SNRs). RLS found to converge faster than mean (LMS) algorithm ANC, i.e. RLS-ANC required fewer trials LMS-ANC. Experimental results showed that with less 50 could provide similar...
The information of clutter rate and detection probability is very important for the Bayesian multi-target filters based on random finite sets (RFS). However this difficult to learn line in marine target applications. robust multi-Bernoulli filter (RMB) can accommodate unknown probability, thus it a rational alternative challenging situation. But method only exploits kinematic when calculating measurement likelihood, therefore its performance not ideal if targets are spatially close. In...
MLED technology promises superior luminance, contrast, and color accuracy in high‐performance displays. However, Tic‐Tac‐Toe image retention LTPS chip‐on‐glass (COG) needs to be addressed. This is due regional temperature inconsistencies caused by the metal structure. paper presents a compensation method, incorporating temporal spatial. The approach implemented on FPGA successfully integrated into mass‐produced
This paper addresses the problem of detecting and tracking dim targets in low signal-to-noise ratio (SNR) environment. The histogram probability multi-hypothesis (H-PMHT) algorithm based on particle filter, as an effective track-before-detect (TBD) method, is proposed to solve this task. Since classical resampling filter loses diversity particles after needs heavy computation load large storage capacity multi-target scenario, we apply Markov chain Monte Carlo (MCMC) H-PMHT method. efficiency...
This paper develops a robust extended-target multisensor multitarget multi-Bernoulli (ET-MS-MeMBer) filter for enhancing the unsatisfactory quality of measurement partitions arising in classical ET-MS-MeMBer due to increased clutter intensities. Specifically, proposed method considers influence set by introducing ratio target likelihood likelihood. With constraint set, it can obtain better partitioning results under original two-step greedy mechanism. Subsequently, single-target function...
The multi-sensor cardinalized probability hypothesis density (MS-CPHD) filter based on the random finite set (RFS) have been developed in literature for multitarget tracking. However, this is not strictly a multi-target tracker as it cannot estimate identities of individual target states. To form tracks, multiple MS-CPHD given paper. Specifically, Gaussian mixture recursion filter, each component identify identified with unique label separating different targets. Then tracks can be...
This paper discusses a fundamental problem in compressed sensing: the sparse recoverability of L1 minimization with an arbitrary sensing matrix. We develop new accumulative score function (ASF) to provide lower bound for recoverable sparsity level (SL) matrix while preserving low computational complexity. first define each row matrix, and then ASF sums up large scores until total reaches 0.5. Interestingly, number involved rows summation is reliable SL. It further proved that provides...
According to the ballistic characteristics and navigation parameters of boost glide vehicle, considering influence gravity earth rotation on navigation, a SINS algorithm based launch coordinate system is proposed. The focuses engineering implementation, complexity computational are moderate, which suitable for mainstream middle low-end embedded systems. In this paper, real flight data used simulate algorithm, results show that implementation method calculation accuracy meet requirements application.