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Information Geometry-Based Two-Stage Track-Before-Detect Algorithm for Multi-Target Detection in Sea Clutter.

Jinguo Liu1, Hao Wu1, Zheng Yang1

  • 1College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.

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Summary
This summary is machine-generated.

This study introduces an information geometry (IG)-based track-before-detect (TBD) framework for marine radar. The novel approach enhances multi-target detection by improving clutter discrimination and resolving track mismatches, boosting signal-to-clutter ratio by 2 dB.

Keywords:
information geometrymulti-target detectionradar target detectiontrack-before-detect

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Area of Science:

  • Signal Processing
  • Information Geometry
  • Radar Systems

Background:

  • Marine radar faces challenges in multi-target detection due to clutter.
  • Existing methods struggle with target interference and unknown target numbers.

Purpose of the Study:

  • To propose an information geometry (IG)-based, two-stage track-before-detect (TBD) framework for enhanced marine radar multi-target detection.
  • To improve clutter discrimination and resolve track mismatches between adjacent targets.

Main Methods:

  • Modeling multi-target measurements on a manifold using geometric properties.
  • Developing a scoring function incorporating feature dissimilarity and path associations.
  • Employing a two-stage integration strategy (dynamic programming and greedy integration).
  • Implementing a target cancellation detection scheme and an efficient detector implementation.

Main Results:

  • The proposed algorithm demonstrates superior clutter discrimination in sea clutter environments.
  • Effectively resolves track mismatches between neighboring targets.
  • Achieves a signal-to-clutter ratio improvement of at least 2 dB.
  • Validated using real-recorded sea clutter data.

Conclusions:

  • The IG-based TBD framework offers significant improvements over conventional radar detection methods in marine environments.
  • The method effectively handles challenges of clutter, target interference, and unknown target numbers.