An adaptive detector for deterministic signals in noise of unknown spectra using the Rao test
Paul M. Baggenstoss, Steven Kay · IEEE Transactions on Signal Processing · 1992
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.>