Waveform-Agile Tracking In Heavy Sea Clutter

Abstract

The detection and tracking of small targets on the ocean surface is a challenging problem due to low signal-to-clutter ratio (SCR) that results from low grazing angles and high sea state. Recent advances in sensing technologies have enabled waveform-agile schemes that tailor the sensor waveform to match the overall sensing objective. In this paper, we propose a methodology to dynamically adapt the transmitted waveform to improve the tracking performance for scenarios characterized by heavy sea clutter. Employing the compound-Gaussian model for sea clutter, we develop an algorithm for online design of a phase-modulated waveform that improves the SCR in a range bin of interest. A particle filter tracker uses the measurements obtained by this waveform to estimate the target state. We present a simulation study to demonstrate that our scheme leads to improved tracking performance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA475607

Entities

People

  • Antonia Papandreou-suppappola
  • Darryl Morrell
  • Douglas Cochran
  • Sandeep P. Sira

Organizations

  • Arizona State University

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Clutter
  • Covariance
  • Data Science
  • Detection
  • Detectors
  • Doppler Effect
  • Filters
  • Measurement
  • Particles
  • Sea Clutter
  • Sequential Monte Carlo Methods
  • Simulations
  • Statistical Algorithms
  • Statistics
  • Target Tracking
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Neural Network Machine Learning.
  • Radar Systems Engineering.