THE APPLICATION OF A RADIAL BASIS FUNCTION NEURAL NETWORK FOR RADAR TRACKING OVER THE SEA

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Authors
  1. Leung, H.
  2. Bosse, E.
Corporate Authors
Defence Research Establishment Ottawa, Ottawa ONT (CAN)
Abstract
A low-angle tracking technique based on the use of a radial basis function neural network is presented. Computer simulations show that the new technique is capable of tracking both stationary and moving targets under low signal-to-noise ratio situations with a high accuracy. As well, the performance of the new technique is tested using a real-life data. The results demonstrate the robustness and effectiveness of the new algorithm in terms of its independence of array errors and of the nature of the noise background.
Keywords
Radial basis function
Report Number
DREA-TC-93-305-VOL-1-P-3 — @Conference Paper; CONTAINED IN 93-02664
Date of publication
01 Feb 1993
Number of Pages
24 (p3-26)
DSTKIM No
93-02663
CANDIS No
131298
Format(s):
Microfiche filmed at DSIS;Originator's fiche received by DSIS;Document Image stored on Optical Disk

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