1. SENSOR FUSION LAB RESEARCH ACTIVITIES PART I : DATA FUSION AND DISTRIBUTED SIGNAL PROCESSING IN SENSOR NETWORKS Sensor Fusion Lab, Department of Electrical Engineering and Computer Science Pramod K. Varshney Link Hall, Syracuse University, Syracuse, NY
Research Areas:
Statistical signal processing and its applications
Detection
Change detection
Estimation
Classification
Radar signal processing
Wireless communications
Nonlinear non-Gaussian target tracking:
sequential Monte Carlo techniques (particle filtering)
Multi-objective optimization
Collaborative signal processing in sensor networks
Distributed detection and decision fusion
Distributed estimation
Source localization with quantized data
Distributed object tracking
Sensor deployment for localization
Adaptive sensor management based on conditional PCRLB
Sensor selection/activation for tracking
Dynamic local quantizer design
Video based change detection and object tracking
Multiple input multiple output (MIMO) radars
Applications of sensor networks
Battlefield surveillance
Environment monitoring
Health monitoring for humans & machines
Psychological and behavioral studies
Some current and recent research projects:
Several SBIR/STTR projects on fusion system architectures and algorithms
Multi-sensor nonlinear ballistic missile tracking
Detection, estimation and tracking in MIMO radars
Image registration based on mutual information
Noise enhanced detection and estimation (stochastic resonance)
Vehicle Health Management, sponsored by NASA Langley
Hierarchical architecture
Distributed detection and data fusion
Particle based distributed fault detection
Intelligent control and information management for built environmental systems
Intelligent sensor placement algorithms
Protocols for networking, routing and for collaborative efforts between sensor nodes
Multi-sensor data fusion and intelligent information processing
Decision-making using uncertain battlefield data, sponsored by ARO, under the MURI program
Analysis of Remote Sensing Data, sponsored by NASA
Fusion of multi-modal sensor data for human activity classification, sponsored by ARL/ARO
Joint feature selection and extraction
Modeling of statistically dependent multimodal signals
Adaptive models and fusion algorithms for information exploitation, sponsored by AFOSR
Data source query strategies: conditional PCRLB based sensor query
Information fusion algorithms
Outdoor Video Tracking Using Multiple Cameras
Fusion of Acoustic and Seismic Data for Footstep Detection
Sensor Fusion for a Ballistic Missile Defense System
Source: MDA/AS Project Hercules Program