Title :
A channelized cross spectral method for improved frequency resolution
Author :
Nelson, Douglas J. ; Short, Kevin M.
Author_Institution :
Department of Defense, Fort George G. Meade, MD, USA
Abstract :
A common problem in signal processing is the detection of weak tones in noise. Most tone recovery methods assume the presence of a single tone, or that the existing tones are sparse and well separated in frequency. In this paper, it is shown that tones may be detected and accurately estimated by first estimating a frequency error using the cross-spectral phase. The signal is then heterodyned by the error to translate it to the frequency of a Fourier basis element. The method has high gain, and may be used to isolate and recover tones which are not well separated
Keywords :
Fourier transforms; frequency estimation; noise; signal detection; signal resolution; spectral analysis; Fourier basis element; channelized cross spectral method; cross-spectral phase; frequency error estimation; frequency resolution; heterodyned signal; high gain; multicomponent signals; noise; signal processing; spectral estimation; tone recovery methods; weak tones detection; Discrete Fourier transforms; Fourier transforms; Frequency estimation; Interpolation; Mathematics; Phase detection; Phase estimation; Signal processing; Signal resolution; Working environment noise;
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.1998.721371
