A5086751264- Direction-of-Arrival Estimation Techniques
- Speech and Audio Processing
- Indoor and Outdoor Localization Technologies
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Digital Imaging for Blood Diseases
- Advanced Adaptive Filtering Techniques
- Blind Source Separation Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Antenna Design and Optimization
- Energy Efficient Wireless Sensor Networks
- Microbial infections and disease research
- Underwater Acoustics Research
- Cell Image Analysis Techniques
- Robotics and Automated Systems
- Radio Astronomy Observations and Technology
- Machine Learning and Algorithms
- Opportunistic and Delay-Tolerant Networks
- Machine Learning and Data Classification
- Bayesian Modeling and Causal Inference
Anhui Normal University
2021-2024
Yanshan University
2023
Southeast University
2021
University of Science and Technology of China
2018-2020
Shandong Institute of Automation
2009
Chinese Academy of Sciences
2009
Recently, a number of robust adaptive beamforming (RAB) methods based on Capon power spectrum estimator integrated over specific region for covariance matrix reconstruction have been proposed. However, all these ignore the residual noise existing in estimator, which results errors. In this paper, we propose RAB algorithm via elimination and interference powers estimation to reconstruct matrix. First, proposed demonstrates existence analyze its relationship actual noise. Then, after...
In this paper, a novel array structure exploiting coprime arrays is proposed, which comprises the translocation of one subarray and axis rotation with compression another to produce larger number consecutive lags. This composition named CATARCS, stands for translocated rotated compressed subarrays. The scheme offers co-array lags in remarkable <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4MN-1$...
In this paper, a novel array structure exploiting coprime arrays is proposed which can be very proficient to determine the number of consecutive lags in proportion with elements. The method comprises by configuring three subarrays positioned alignment some prescribed values. By increasing elements third subarray while keeping other fixed, explicit could obtained proportionately. offers maximization remarkable calculating fourth order difference co-array unifying interpolation. forth achieved...
In smoggy and dusty environments, vision- laser-based localization methods are not able to be used effectively for controlling the movement of a robot. Autonomous operation security robot can achieved in such environments by using millimeter wave (MMW) radar system. this study, an approximate center method under sparse point cloud is proposed, system based on constructed. To improve accuracy robot, inertial integrated with MMW radar. Based concept localization, state equation motion...
Abstract Causality is an important element in decision-making and interventions are required to optimize results of target values. In this paper, based on the model Causal Bayesian Optimization, a counter-noise version acquisition function proposed new prior estimation algorithms including Support Vector Regression, Ridge Regression Random Forest evaluated. This paper provides improved framework facilitate causal inference optimization processes.
A new rank reduction (RARE)-based two-dimensional (2-D) direction of arrival (DOA) estimation algorithm is proposed considering a mixture circular and strictly noncircular sources. To enhance array aperture, geometry three uniform linear arrays considered then treated as displaced from virtual using simple transformation. The received data the conjugated counterpart are combined together, exploiting property. Both sources can be estimated separately by designing distinctive nature steering...
We report the development of a cost-effective, automated parasite diagnostic system that does not require special sample preparation or trained user. It is composed portable microscope can automatically auto-focus and scan over size an entire McMaster chamber (100 mm2) capture high resolution (~1 µm) bright field images without need for user intervention. Fecal samples prepared using flotation method were imaged, with imaging region comprising chamber. A convolutional neural network (CNN)...
Abstract It is difficult for a robot to capture object which thrown out in the environment with natural wind. Equation of state and measurement wind studied. Using equation when there no wind, average acceleration caused by can be estimated. Moreover, variance estimated using statistical characteristics probability distribution Then method capturing based on Kalman filter proposed. Simulation results show that trajectory changes obviously two groups typical are used. The tracked accurately...