Enhanced Multistatic Active Sonar via Innovative Signal Processing

Abstract

We seek to address two important signal processing aspects of multistatic active sonar systems, namely enhanced range-Doppler imaging and improved target parameter estimation. For the former, a hybrid dense-sparse method is considered to generate range-Doppler images with both low sidelobe levels and high accuracy. For the latter, a generalized K-Means clustering (GKC) method for target association is developed to associate the range measurements from different transmitter-receiver pairs, which is actually a range fitting procedure. Moreover, the extended invariance principle-based weighted least-squares (EXIP-WLS) method is developed for accurate target position and velocity estimation. The effectiveness of the considered multistatic active sonar signal processing techniques is verified using numerical examples.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2012
Accession Number
ADA565938

Entities

People

  • Jiantao Li

Organizations

  • University of Florida

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Active Sonar
  • Algorithms
  • Clustering
  • Detection
  • Engineering
  • Filters
  • Invariance
  • Matched Filters
  • Measurement
  • Sidelobes
  • Signal Processing
  • Sonar
  • Sonar Signals
  • Target Recognition
  • Transmitters
  • Underwater Sound

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Radar Systems Engineering.