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Advanced Technology (AT) | signal processing (sp)

The Signal Processing Department is ARL's center for signal and image processing research, development implementation and testing for Navy, non-Navy DOD, and other government and industrial applications. Signal processing is the enabling technology for a wide range of applications that include, sonar, radar, seismic, communication, video imaging, biomedical signal processing, sensor fusion, and vehicle guidance and control.
In all of these applications, signal processing techniques are designed to detect the presence of desired signals in noise and interference, to enhance the desired signals, to reduce the effects of undesired signals, to extract useful information from the signals, to fuse this information with information from other sensors, and to display information contained within signals using various imaging techniques.


  • Highly qualified signal processing experts
  • Network of classified and unclassified computer systems
  • Wide array of design and analysis software including Matlab
  • Digital recording and data archiving systems
  • Algorithms for signal detection, normalization, feature extraction, classification, fusion, imaging and tracking.
  • Internally developed Matlab toolboxes for analysis and design
  • SCI level clearances and workspace


  • Heterogeneous Sensor Fusion
  • Acoustic Intercept Receiver Design
  • Automated Radar and Sonar Tracking
  • Feature Extraction and Classification for Surface Ship Sonar
  • Information Fusion for Improved Anti-Submarine Warfare
  • High Resolution Source Localization from Phased Arrays
  • Automation, Pattern Recognition & Data Fusion for Mid-Frequency Active Surface Ship Sonar
  • Low Probability of Intercept Signal Processing
  • Acoustic Propagation Through Surface Ship Wakes
  • Synthetic Aperture Sonar Processing
  • Automatic Guidance and Control for Underwater Vehicles.
  • Seismic, Acoustic and Magnetic Detection and Classification of Moving and Stationary Targets
  • Acoustic Guidance and Control for Supercavitating Underwater Vehicles
  • Shallow Water Acoustics
  • Signal Processing for Electromagnetic Induction


  • Detection and classification
  • Adaptive signal processing
  • Acoustic Propagation Modeling
  • Optimum array processing
  • Pattern recognition
  • Hard and Soft Fusion
  • Hyperspectral Image Processing
  • Broadband Receiver Design
  • Broadband Detection and Classification
  • Track Filtering and Prediction
  • Time-frequency analysis
  • Wavelet transforms
  • Nonlinear optimization
  • High-frequency environmental acoustics
  • Environmentally adaptive sonar
  • Estimation Theory
  • Biomedical signal processing
  • Non-destructive testing
  • Advanced technology demonstrations