NEW MODELS FOR RADAR BIAS ESTIMATION

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Authors
  1. Abbas, H.M.
  2. Farooq, M.
Corporate Authors
Royal Military Coll of Canada, Kingston ONT (CAN) Dept of Electrical and Computer Engineering;Defence Research Establishment Ottawa, Ottawa ONT (CAN)
Abstract
The report summarizes the work conducted by the Robotics and Target Tracking Research Group of the Royal Military College of Canada (RMC) on the radar registration problem. Traditional approaches are reviewed and non-traditional methods are also investigated. Using Neural Networks, with a learning parameter set according to the value of the gradient generates better estimate values when compared to the conventional RTOC and LS-RTOC. The Kalman filter is also investigated in order to fuse into one single track the radar returns of two adjacent radars as well as calculate the estimate of the bias parameters.
Keywords
RTQC algorithm;NWS (North Warning System)
Report Number
DREO-CR-96-749 — Progress Report
Date of publication
01 Jun 1995
Number of Pages
19
DSTKIM No
97-00587
CANDIS No
500715
Format(s):
Hardcopy;Document Image stored on Optical Disk

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