Nonlinear methods of spectral analysis have become widely used for improving the arrival-angle resolving power of signals from observed targets situated in the far zone of scanning systems utilizing equidistant linear antenna arrays (AA). Among them, the greatest popularity has been earned by methods of autoregressive estimation of the space spectrum (SS) directly from a sample of observations without estimation of the covariational matrix. The present work performs a comparative analysis and makes recommendations with regard to two methods: the maximum-entropy method (MEM) developed by Burg and the linear-prediction method (LPM) based on an algorithm advanced by Kumaresan and Tafts (see [1])
