A5025127580- Advanced Chemical Sensor Technologies
- Gas Sensing Nanomaterials and Sensors
- Target Tracking and Data Fusion in Sensor Networks
- Distributed Sensor Networks and Detection Algorithms
- Sparse and Compressive Sensing Techniques
- Insect Pheromone Research and Control
- Direction-of-Arrival Estimation Techniques
- Machine Learning and ELM
- Air Quality Monitoring and Forecasting
Southwest University
2021-2025
Sichuan University
2019
Subspace learning is a popular machine method that has been frequently applied for gas sensor calibration; however, there are the following limitations in latent subspace process: 1) existence of data distribution differences not considered and 2) ignoring inherent information original space, such as discriminative structure information. To overcome these issues, we design novel domain correction (DCLSL) algorithm drift compensation by integrating adaptation into unified framework this...
This paper studies linear distributed estimation of an unknown random parameter vector in a bandwidth-constrained multisensor network. To meet the bandwidth limitations, each sensor converts its observation into low-dimensional datum via suitable transformation. Then, fusion center estimates by linearly combining all received data, aiming at minimizing mean square error. The main purpose this is to jointly determine compression dimension (referred as assignment) and design corresponding...
This article considers distributed estimation of an unknown deterministic parameter vector in a bandwidth constrained multisensor network with fusion center (FC). Due to the stringent requirements, each sensor compresses its observation as low-dimensional via linear transformation. Then, FC linearly combines all received compressed data estimate based on best unbiased estimator. The problem interest is jointly design dimension assignment (i.e., compression sensor) and corresponding matrix...
In this paper, we study a novel marginal distributionally robust minimum mean-squared error (MDR-MMSE) estimation problem for random state vector in multisensory system consisting of several sensors linked with fusion center by employing the minimax viewpoint, which involves finding estimator best performance under least favourable distribution within an uncertainty set. contrast to previous studies, set includes family densities whose are located neighborhood defined placing threshold on...