Title :
Interference-resistant detection based on time-frequency subspaces
Author :
Gallaire, Jean-Paul G. ; Sayeed, Akbar M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
The difficulty of modeling interference is one of the main problems in constructing an efficient interference-resistant detector. We present a new detector which exploits the signal correlation structure to account for interference. In order to make a decision between two composite hypotheses, our detector uses the generalized likelihood ratio test. Preliminary results suggest that the resulting detection scheme achieves high performance in presence of strong interference
Keywords :
correlation methods; interference (signal); land mobile radio; maximum likelihood detection; radar signal processing; signal representation; sonar signal processing; time-frequency analysis; canonical signal representation; composite hypotheses; generalized likelihood ratio test; interference modeling; interference-resistant detection; mobile wireless communications; performance; radar signal processing; signal correlation structure; sonar processing; strong interference; time-frequency subspaces; Detectors; Interference; Radar detection; Radar signal processing; Signal design; Signal processing; Sonar detection; Testing; Time frequency analysis; Training data;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-7803-5073-1
DOI :
10.1109/TFSA.1998.721443
