DocumentCode
1640106
Title
Application of time-frequency distributions for improved radar target detection
Author
Bhattacharya, Tarun Kumar ; Haykin, Simon
Author_Institution
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
fYear
1992
Firstpage
509
Lastpage
512
Abstract
The detection of small pieces of ice, floating in the ocean, is discussed. It is shown that out of all the time-frequency distributions belonging to Cohen´s class, the Wigner-Ville distribution is the optimum. Based on features extracted from the ambiguity function of the signal, a detection algorithm is described. The results obtained using this algorithm are shown to be an order of magnitude better than those obtained using standard Doppler processing
Keywords
feature extraction; radar theory; signal detection; time-frequency analysis; Cohen´s class; Wigner-Ville distribution; ambiguity function; detection algorithm; feature extraction; floating ice; ocean ice; radar target detection; time-frequency distributions; Detection algorithms; Ice; Marine vehicles; Object detection; Oceans; Radar applications; Radar detection; Smoothing methods; Thyristors; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0805-0
Type
conf
DOI
10.1109/TFTSA.1992.274148
Filename
274148
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