FIELD: physics.
SUBSTANCE: invention relates to the field of the radio signals processing and recognition, in particular to the radio signals manipulation type recognition, and can be used in the radio devices for the radio signals manipulation recognition. Radio signals manipulation types recognition method differs in that by the signal N counts in-phase and quadrature component values eliminating its detuning by the carrier frequency by the de-tuning correction introduction, to which to the cumulant C40 module maximum value is corresponding, calculating the cumulants C42 and C61 values, and submit them to the previously trained by the cumulants C42 and C61 training sample signals values backpropagation error the multilayer perceptron type neural network, which recognizes the signals.
EFFECT: automatic recognition of the radio signal manipulation types in the absence of high-precision synchronization with the input signal carrier frequency for the of manipulation types wide alphabet (4-level pulse amplitude manipulation, binary phase, quadrature phase, the 8th order phase manipulation, the 8th, 16th and 32nd order quadrature manipulation).
1 cl, 3 dwg, 1 tbl
Title | Year | Author | Number |
---|---|---|---|
DEVICE FOR AUTOMATIC RECOGNITION OF RADIO SIGNAL KEYING TYPES | 2019 |
|
RU2713693C1 |
METHOD AND APPARATUS FOR AUTOMATIC DETECTION OF RADIO SIGNAL KEYING TYPES | 2012 |
|
RU2510077C2 |
METHOD AND DEVICE FOR AUTOMATIC RECOGNITION OF RADIO SIGNALS MANIPULATION TYPE | 2016 |
|
RU2622846C1 |
METHOD AND DEVICE FOR AUTOMATIC RECOGNITION OF RADIO SIGNALS MANIPULATION TYPE | 2016 |
|
RU2619717C1 |
METHOD AND DEVICE FOR AUTOMATIC RECOGNITION OF RADIO SIGNAL MANIPULATION TYPE | 2017 |
|
RU2665235C1 |
METHOD AND DEVICE FOR RECOGNIZING TYPE OF RADAR STATION BY ITS RADIATION | 2023 |
|
RU2819570C1 |
HYDRO ACOUSTIC SIGNALS DETECTION AND THEIR NEURAL NETWORK CLASSIFICATION SYSTEM | 2018 |
|
RU2681252C1 |
NEURON NETWORK SYSTEM FOR DETECTION AND RAPID IDENTIFICATION OF SEA TARGETS | 2018 |
|
RU2695985C1 |
METHOD OF DETECTING AND CLASSIFYING SEA TARGETS USING A MATHEMATICAL MODEL OF DETERMINING THE TYPE OF TARGET | 2020 |
|
RU2724990C1 |
SYSTEM FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS | 2021 |
|
RU2763384C1 |
Authors
Dates
2019-03-18—Published
2018-04-13—Filed