A Novel Approach for the Detection of Maneuvering Air Targets in Sea-Clutter using High-Frequency Surface-Wave Radar

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Authors
  1. Thayaparan, T.
  2. Stankovic, L.J.
  3. Dakovic, M.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN)
Abstract
A novel time-frequency signal decomposition approach is evaluated for the detection of maneuvering air targets in sea-clutter using High-Frequency Surface-Wave Radar (HFSWR). This approach is based upon time-frequency analysis and its eigenvalue decomposition. Results demonstrate that the new approach provides an effective way for detecting and analyzing maneuvering air targets in heavily cluttered regions. In addition, the proposed approach successfully detects the maneuvering target in all cases of the experiment. In contrast, the traditional Fourier transform method fails to detect air targets when a certain degree of acceleration is present. This is because of the phenomenon known as Doppler smearing. It is statistically shown that the new approach produces satisfactory results even with very low signal-to-noise ratios. The results obtained are robust with respect to the algorithm parameters. The basis of the method, theoretical derivations, and comparisons with traditional procedures are outlined here-in.

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Keywords
Time-Frequency Analysis;Wigner Distribution;Short Time Fourier Transform;S-method;Fourier Transform;Doppler Processing;Signal Decomposition;HFSWR (High Frequency Surface Wave Radar);Doppler Smearing
Report Number
DRDC-OTTAWA-TR-2005-251 — Technical Report
Date of publication
01 Dec 2005
Number of Pages
226
DSTKIM No
CA026999
CANDIS No
525002
Format(s):
CD ROM

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