Periodogram method for joint detection and estimation of frequency parameters of a broadband Gaussian signal with unknown parameters

Developed by the periodogram method for joint detection of a broadband signal, estimation of its average frequency and the width of the spectrum in terms of energy uncertainty and structural-temporal parameters of signal and noise. The main difference between the new method and the known is the division of the elements of periodogram on noise and signal clusters. For the separation of the fuzzy logic algorithm is used for information processing. To determine the degree of closeness of the elements of periodogram to the center point of the noise cluster used quasideterminant fractional rational function. Based on the developed method of the synthesized algorithms of signal detection and evaluation of his hourtonyh parameters. These algorithms can be implemented in software and hardware method. It is shown that on the basis of the separation of the elements of periodogram on noise and signal clusters and matching the bandwidth of the signal with the number of non-coherent accumulations, the possibility of improvement (in terms of a specific example, 15%) accuracy characteristics of the frequency estimation of signal parameters in conditions of parametric uncertainty. The scope of appli-cation of the developed method are radiomonitoring systems, and cognitive radio system, solving the problem of joint detection and estimation of frequency of the wideband signal in terms of structural and parametric uncertainty.