Title :
A maximum likelihood subspectrum
Author_Institution :
Signal, Panama City, FL, USA
Abstract :
This paper exploits the capabilities of the maximum likelihood method to detect an unknown number of low-level signals in the neighborhood of a high-power signal
Keywords :
maximum likelihood detection; signal representation; signal resolution; spectral analysis; time series; transforms; adaptive methods; high resolution estimates; high-power signal; interference reduction; low-level signal detection; maximum likelihood method; maximum likelihood subspectrum; multiparameter representation; off-diagonal terms; time series; transform based likelihood function; Cities and towns; Covariance matrix; Design methodology; Fourier transforms; Maximum likelihood detection; Maximum likelihood estimation; Parametric statistics; Sampling methods; Signal processing; Signal resolution;
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.1998.721447
