An Intelligent Recognition System for Sensor Surveillance

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Authors
  1. Gigli, G.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN);A.U.G. Signals Ltd, Toronto ONT (CAN)
Abstract
An investigation into the exploitation of the information contents of sensor data is carried out. Sensors such as radar operate in environments that are dominated by various forms of noise, clutter and interference. Traditional approaches for mitigating the adverse effects of these components have been to suppress them through filtering and cancellation techniques. In addition, conventional sensors do not optimize the operations of signal processing and constant-fale-alarm processor collectively. In this report, combinations of several signal processing techniques and CFAR detectors are examined to evaluate their relative merits. In particular the time-frequency analysis technique was investigated in depth as a potential technique for exploiting the information contents of sensor data. The multi-CFAR detector is evaluated as a means for improving detection performance of sensors.
Keywords
CFAR (Constant False Alarm Rate);Chaos;MTI filters;Chaotic models;Time-frequency analysis
Report Number
DRDC-OTTAWA-CR-2002-114 — Contractor Report
Date of publication
01 Jul 2002
Number of Pages
164
DSTKIM No
CA022962
CANDIS No
520023
Format(s):
Hardcopy;Document Image stored on Optical Disk

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