Investigating the performance of some tracking filter schema for the Advanced Shipboard Command and Control Technology (ASCACT) project


  1. Bosse, E.
  2. Roy, J.
  3. Jouan, A.
Corporate Authors
Defence Research Establishment Valcartier, Valcartier QUE (CAN);Lockheed Martin Canada Inc, Kanata ONT (CAN)
Tracking maneuvering targets is a complex problem which has attracted a great deal of effort over the past several years. It has been now well established that, in terms of tracking accuracy, the Interacting Multiple Model (IMM) algorithm where state estimates are mixed perform significantly better for maneuvering targets that the other types of filters (Adaptive Single Model, Input Estimation, Variable Dimension, etc.). However, the complexity and simpler algorithms can provide us with the necessary accuracy at a lower computation cost. This document presents the evaluation of the tracking accuracy of a multiple model track filter using three different constant-velocity models running in parallel (3CVPAR) and a maneuver detector. The Maneuver Threshold (TMTH). This approach is recommended for the MultiSensor Data Fusion (MSDF) problem to be tested in the Advanced Shipboard Command and Control Technology (ASCACT) testbed. The tracking performance of the 3CVPAR track filter is compared with: 1) an adaptive single motion model Kalman filter (ASMMKF); 2) an IMM algorithm using the same three CV models than the 3 CVPAR filter; 3) an IMM filter using a CV model and a constant acceleration (CA) model producing a CVCA filter; 4) an IMM filter using a CV and two CA models (CA1, CA2) differing only by the level of process noise producing a CV2CA filter. TRUNCATED
MSDF (Multi-Sensor Data Fusion);MSDF (Multi-Source Data Fusion);IMM (Interactive Multiple Model);Maneuvering targets;Target tracking;Sensor fusion
Report Number
DREV-TR-1999-208 — Technical Report
Date of publication
01 Oct 2000
Number of Pages
Hardcopy;Document Image stored on Optical Disk

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