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
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;
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
DOI :
10.1109/TFTSA.1992.274148
