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Operative Recognition of Standard Signals in the Presence of Interference with Unknown Characteristics

The purpose of this work is to develop new methods for the operative recognition of standard signals in the presence of interference with unknown characteristics. To solve this problem, the disproportion functions are used. With the exception of the method based on the use of current spectra, the proposed methods do not require observation of the analyzed signal over a certain period of time. For a given set of standard signals, recognition is performed by the current values of the analyzed signal and its derivatives. The problem is solved for several cases. The cases are considered when additive or multiplicative interference appears and disappears at random times. The solution of the problem is given when the standard signals can be pulses of different types. An option is also considered when the interference with an unknown spectral characteristic is superimposed on the standard signal at some obviously unknown frequencies. In addition, the case is considered when additive interference takes constant values at random times. In all cases, the standard signal is a part of the analyzed signal with some constant, previously unknown scale factor. The proposed methods make it possible to recognize a fragment of the standard signal if it is in the analyzed signal at the current time.