Analysis of adaptive detection systems signals against clutter

The problem of analyzing the probability characteristics of the adaptive detection systems signals against clutter by the wobbulation of the repetition period is considered. It is proposed based on the asymptotic properties of maximum likelihood estimations method of adaptive detection systems analysis depending on volume of the training sample. A correlation matrix averaging of adaptive rejection filters output based on statistical describing the properties of the unknown parameters estimations of clutter is carried out. The resulting analytical expression for the probability characteristics communicates the effectiveness of detection signals with parameters used in assessments Doppler phase and interperiod correlation coefficients clutter and lets you to choose the volume of the training sample for depending on the value of admissible losses of the threshold signal/clutter ratio. The results of the detection characteristics calculation for different values on volume of training sample are given.