Title :
An adaptive detector for deterministic signals in noise of unknown spectra using the Rao test
Author :
Baggenstoss, Paul M. ; Kay, Steven M.
Author_Institution :
Raytheon Co., Portsmouth, RI, USA
fDate :
6/1/1992 12:00:00 AM
Abstract :
An adaptive detector for a known deterministic signal of unknown amplitude in Gaussian noise of unknown spectra is described. The detector is based on the Rao test, which is asymptotically equivalent to the generalized likelihood ratio. The detector achieves constant false alarm probability in the presence of large changes in input noise bandwidth and variance while providing optimum detection performance. The results are supported by simulation
Keywords :
random noise; signal detection; Gaussian noise; Rao test; adaptive detector; constant false alarm probability; deterministic signals; input noise bandwidth; optimum detection performance; signal detection; unknown spectra; Adaptive signal detection; Background noise; Detectors; Gaussian noise; Noise level; Radar detection; Reverberation; Signal detection; Testing; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on
