ABSTRACT
This chapter presents a brief analysis of the digital signal processing algorithms based on the generalized approach to signal processing in noise. It describes the work content of digital GD realization with other digital signal processing algorithms. The chapter considers the case when the parameters of target return signals—the pulse train from N nonfluctuating pulses with the additive receiver noise with known statistical characteristics—are known. The synthesis problems of optimal detectors are solved with an assumption that there is a priori all information about the noise and interference and their statistical parameters and features under a predetermined energy and statistical characteristics of the target return signal. The robust signal detection algorithms ensuring CFAR are considered, in this case, as adaptive algorithms allowing to obtain estimations of unknown statistical characteristics of the noise and to employ these estimations to normalize the input signal or to control the threshold.
