Patent ID: 11868910
Assignee: ROHDE & SCHWARZ GMBH & CO. KG
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 11:
12. A method for generating training data sets for signal type recognition, comprising: generating at least one artificial radio frequency signal using at least one radio frequency signal generator; receiving the at least one artificial radio frequency signal generated by the at least one radio frequency signal generator by a radio frequency receiver connected to the at least one radio frequency signal generator; and storing the radio frequency signal received by the radio frequency receiver as a training data set by a signal data recorder connected to the radio frequency receiver, wherein the training data is set is configured for training a machine learning module to recognize a predefined signal type, wherein the at least one radio frequency signal generator includes at least two radio frequency signal generators, wherein the radio frequency behaviors of at least two of an IoT-device, a cellular device, a non-cellular device, a broadcasting device, a radio device, a satellite, a navigation device or a radar are emulated by artificial radio frequency signals generated by the at least two radio frequency signal generators, wherein a power combiner is provided, wherein each of the at least two radio frequency signal generators is directly connected to an input of the power combiner by a cable-bound connection and the radio frequency receiver is connected to an output of the power combiner by a cable-bound connection, wherein the method further comprises combining the artificial radio frequency signals generated by the at least two radio frequency signal generators, thereby obtaining a combined signal that is forwarded to the radio frequency receiver.