РАНГОВАЯ ОБРАБОТКА СИГНАЛОВ ДАТЧИКА ВИБРАЦИЙ ДЛЯ СИГНАЛИЗАЦИИ ПРИВОДНЕНИЯ САМОЛЕТА-АМФИБИИ В УСЛОВИЯХ АПРИОРНОЙ НЕОПРЕДЕЛЕННОСТИ

Abstract

The purpose of the work is to use a rank model of signal processing for signaling the landingof an amphibious aircraft. Rank processing refers to nonparametric methods of detecting asignal against a background of interference. Nonparametric methods are used if the functionaltype of the input data distribution is unknown and only the most general differences between thepresence and absence of a signal are indicated. Almost all nonparametric detectors contain devicesas a component element that perform some invariant transformation of the S array of samplevalues of X. As a result of this transformation, a new array Z = SX is formed, the distribution ofelements of which is precisely known in the absence of a signal. The transformation S, which ischosen heuristically, allows us to reduce the problem of detecting a signal against a backgroundof interference with an unknown distribution to the problem of testing a simple hypothesis regardingthe distribution of the array Z. Research objectives: 1) preliminary digital filtering of amphibiousaircraft flight records for the use of rank processing; 2) conducting an experiment to obtainthe characteristics of a rank detector used to signal the landing of an amphibious aircraft;3) analysis of the results obtained. A model of signal processing of a vibration sensor for signalingthe landing of an amphibious aircraft is proposed. The model consists of a bandpass filter (PF), aCOEX calculator, a divider, a rank detector and a reference sample generator. The rank detectorallows you to reduce the task of detecting the vibration sensor signal against the background ofinterference to the task of testing a simple hypothesis regarding the distribution of ranks. The nonparametricWatson agreement criterion is used to make a decision on the presence of a drive signal.The proposed processing model provides the following parameters of the flood alarm system:1) insensitivity to changing characteristics of signals and interference, 2) the decision-makingalgorithm guarantees high quality of detection in conditions of significant a priori uncertainty.The results of the conducted studies show: 1) the distribution of ranks in the absence of a signal isalways approximated by a uniform distribution law. In situations where a signal is present in themixture, the uniform distribution is destroyed, and the presence of a signal is determined by a setthreshold, 2) the sensor based on rank criteria provides high quality detection of the amphibiousaircraft landing signal. The proposed approach to solving the detection problem can find a placein many applied problems where there is a priori uncertainty. For example, in radar, sonar, communications,medicine and other fields of science and technology.