Abstract: The present invention relates to a data acquisition of measurement data together with further data specifying the operation during a measurement. For this purpose, I/Q measurement data are obtained and the steps for operating a measurement device during the measurement are monitored. A metadata package is generated, which includes the obtained I/Q measurement data along with the monitored steps of operating the measurement device.

Abstract: A signal analysis method comprising: receiving an input signal, the input signal comprising a symbol sequence; receiving samples of a reference signal based on a known sample rate, the reference signal comprising the same symbol sequence as the input signal; determining symbol points of the symbol sequence based on the samples; determining measurement times based on the symbol points; and determining at least one signal quality parameter at the measurement times, wherein the at least one signal quality parameter is indicative of a signal quality of the input signal. Further, a measurement system is described.

Abstract: A signal analysis method is described. The signal analysis method includes: receiving an input signal having unknown characteristic signal parameters; determining IQ data being associated with the input signal; determining at least one of the characteristic signal parameters based on the IQ data via an artificial intelligence circuit; and adapting at least one measurement parameter of a measurement instrument based on the at least one characteristic parameter by the artificial intelligence circuit. Moreover, a signal analysis circuit is described.

Abstract: A signal analysis method is described. The signal analysis method includes: receiving an input signal having unknown characteristic signal parameters; determining IQ data being associated with the input signal; determining at least one of the characteristic signal parameters based on the IQ data via an artificial intelligence circuit; and adapting at least one measurement parameter of a measurement instrument based on the at least one characteristic parameter by the artificial intelligence circuit. Moreover, a signal analysis circuit is described.

Abstract: The present invention relates to a data acquisition of measurement data together with further data specifying the operation during a measurement. For this purpose, I/Q measurement data are obtained and the steps for operating a measurement device during the measurement are monitored. A metadata package is generated, which includes the obtained I/Q measurement data along with the monitored steps of operating the measurement device.

Abstract: A signal analysis method comprising: receiving an input signal, the input signal comprising a symbol sequence; receiving samples of a reference signal based on a known sample rate, the reference signal comprising the same symbol sequence as the input signal; determining symbol points of the symbol sequence based on the samples; determining measurement times based on the symbol points; and determining at least one signal quality parameter at the measurement times, wherein the at least one signal quality parameter is indicative of a signal quality of the input signal. Further, a measurement system is described.

Abstract: A system comprises a receiver comprising a first pseudorandom binary sequence module, and a transmitter comprising a second pseudorandom binary sequence module. The first pseudorandom binary sequence module is initialized with a first received bit sequence to start bit sequence generation with the aid of the second pseudorandom binary sequence module. Further, received remaining bits are compared to bit sequences generated with the aid of the first pseudorandom binary sequence module to determine whether a bit error rate is below a predefined threshold.

Abstract: A system comprises a receiver comprising a first pseudorandom binary sequence module, and a transmitter comprising a second pseudorandom binary sequence module. The first pseudorandom binary sequence module is initialized with a first received bit sequence to start bit sequence generation with the aid of the second pseudorandom binary sequence module. Further, received remaining bits are compared to bit sequences generated with the aid of the first pseudorandom binary sequence module to determine whether a bit error rate is below a predefined threshold.

Abstract: The present disclosure provides an evaluation unit which includes a central data-processing unit, at least one storage unit and an allocation unit, wherein the allocation unit and the at least one storage unit (3) are connected to the central data-processing unit. The central data-processing unit loads at least one OFDM signal from the at least one storage unit and transfers this to the allocation unit. The allocation unit displays the individual signal spaces of the OFDM symbols of the at least one OFDM signal in a constellation diagram and in a frame-output matrix in such a manner that it is possible to allocate via the diagrams at which signal spaces data symbols and/or pilot symbols and/or zero symbols and/or don't care symbols are present and with which modulation type the data symbols and/or pilot symbols are modulated.

Abstract: The present disclosure provides an evaluation unit which includes a central data-processing unit, at least one storage unit and an allocation unit, wherein the allocation unit and the at least one storage unit (3) are connected to the central data-processing unit. The central data-processing unit loads at least one OFDM signal from the at least one storage unit and transfers this to the allocation unit. The allocation unit displays the individual signal spaces of the OFDM symbols of the at least one OFDM signal in a constellation diagram and in a frame-output matrix in such a manner that it is possible to allocate via the diagrams at which signal spaces data symbols and/or pilot symbols and/or zero symbols and/or don't care symbols are present and with which modulation type the data symbols and/or pilot symbols are modulated.