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 - PowerPoint PPT Presentation

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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

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Title: 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


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
335 Link Hall, Syracuse
University, Syracuse, NY 13244


Email
varshney_at_ecs.syr.edu
  • 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
  • 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

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
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