Adaptive Harmonic Signal Detecting Using Autoregressive Model

The adaptive robust algorithms of signal detection under different conditions of a priori uncertainty are synthesized for two adequate models of harmonic signal, namely autoregressive and trigonometric. The problem of detecting a harmonic signal with unknown parameters and estimation of its frequency against the background of uncorrelated Gaussian noise of unknown power is considered. This article concentrates on investigations of the synthesized detectors efficiency and robustness using the Monte Carlo method.