NICOP - HF radar signal enhancement and analysis for improved detection and tracking of surface vessels

Abstract

In RDMs obtained from the compact HF radar, error sources are indistinguishable due to the fact that CFAR based ship detectors find local peak points exceeding a certain threshold and direction of arrival does in contain information of which source the detection originated from. Therefore, it is necessary to expand our approach to multiple RDMs at different times to accurately find the ships’ locations based on modeling of target behavior. As an approach to reduce error caused by ambiguity and clutter sources, a method that applied a sequence of Interacting Multiple Model (IMM) – Joint Probabilistic Data Association (JPDA) – Unscented Kalman Filter (UKF) to multiple RDMs of HF radar was proposed by S. Maresca. However, although the method has greatly reduced error, it is still incapable of merging of multiple detections originating from a single ship, eliminating consistent clutter such as Bragg scattering, modeling of ship trajectory for very long sampling rate (one scan per 4 minutes), and achieving effective track initialization and termination.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N629091512064

Entities

People

  • Hanseok Ko

Organizations

  • Korea University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.