Rohde and Schwarz Gmbh & Co. Kg

Rohde & Schwarz Gmbh Co. Kg

Hagen Eckert

Gregor Feldhaus

Wolfgang Wendler

Jochen Pliquett

Alexander Roth

Johannes Steffens

Martin Weiss

Matthias Keller

Joachim Eibl

A method of performing a distance-to-fault measurement of a signal processing device, comprising: performing a S11 measurement in amplitude and phase with equidistant frequency points assigned to an original frequency space, thereby obtaining original measurement points; calculating a virtual start frequency and a virtual stop frequency based on a start frequency and a stop frequency assigned to the original frequency space; determining virtual equidistant frequency points between the virtual start frequency and the virtual stop frequency; transforming the virtual equidistant frequency points into the original frequency space, thereby obtaining non-equidistant frequency points in the original frequency space; interpolating the original measurement points with respect to the non-equidistant frequency points, thereby obtaining interpolated measurement points; and performing an inverse transformation of the interpolated measurement points. Further, a measurement instrument for performing a distance-to-fault measurement of a signal processing device is described.

Method of performing a distance-to-fault measurement as well as measurement instrument

A measuring device is used to increase a contrast of a plurality of measured values displayed in a spectrogram or spectral histogram and contains a data-acquisition unit, a computer unit and a statistic unit. The data-acquisition unit is embodied to detect a plurality of measured values to be displayed. The statistic unit is embodied to calculate a distribution which contains the frequency of occurrence for every level value of the measured values to be displayed. The computer unit is embodied to specify a dynamic range, over which the contrast extends. In this context, a specified proportion of the level values which image the noise are not used for the specification of the dynamic range.

Measuring device and method for automatic adjustment of contrast in the screen display

A device for measuring the phase-noise spectrum of a pulsed sinusoidal signal generates a pulsed sinusoidal signal, converts the analog pulsed sinusoidal signal into a corresponding digital, pulsed sinusoidal signal and mixes the digital, pulsed sinusoidal signal into the baseband by means of quadrature mixing. Following this, the phase of the pulsed sinusoidal signal in the baseband is determined by means of Fourier transform of the phase of the pulsed sinusoidal signal, the phase spectrum of the pulsed sinusoidal signal is determined, and the phase-noise spectrum of the pulsed sinusoidal signal is determined by removing the spectral lines associated with the sinusoidal signal from the phase spectrum. According to the invention, the pulse pauses are removed from the pulsed sinusoidal signal in the baseband.

Method and device for measuring the phase-noise spectrum of a pulsed sinusoidal signal

A method and device for performing spectrum analysis of a signal in a plurality of frequency bands with respective different frequency resolutions. The method includes a data acquisition step and a subsequent data evaluation step for every frequency band. The data acquisition step and the subsequent data evaluation step proceeds cyclically and continuously for every frequency band of the spectrum analysis. The corresponding device for performing spectrum analysis of a signal cyclically stores a scanning sequence of the signal for every frequency band in one circular buffer each. A discrete Fourier transformer uses the cyclically stored scanning sequences to calculate the spectral values pertaining to the respective frequency band.

Method and device for performing spectrum analysis of a wanted signal or noise signal

A method and a device for determining a frequency mask disposed above or below a frequency spectrum of a detected signal determines every individual ordinate value of a first envelope curve disposed completely above or below the frequency spectrum as the maximum value or minimum value of a given number of respectively adjacent ordinate values of the frequency spectrum linked to a window function. Following this, each individual ordinate value of a second envelope curve disposed completely above or below the frequency spectrum and completely above or below the first envelope curve is determined as the maximum value or minimum value of a given number of respectively adjacent ordinate values of the frequency spectrum linked to a window function. Finally, a minimum number of ordinate values of the frequency mask from ordinate values of the first and/or second envelope curve disposed completely between the first and second envelope curve is determined, wherein in each case two successive ordinate values of the frequency mask with a maximum horizontal spacing distance within the first and second envelope curve can be reached in a linear manner relative to one another.

Method and device for determining a frequency mask for a frequency spectrum

A method and a device for measuring the phase noise of a signal registers the measurement signal (V) with a given measurement frequency (f) and with a superimposed phase noise (f(t)), divides the measurement signal (V) into a first and second measurement signal (V', V&#x2032;), derives a first signal (V) with a first frequency ((f+f(t))/N) reduced relative to the measurement frequency (f) and the superimposed phase noise (f(t)) and a second signal (V) with a second frequency ((f+f(t))/M) reduced relative to the measurement frequency (f) and the superimposed phase noise (f(t)), determines a third signal (V) with a third frequency (f(t)) compensated by the measurement frequency (f) relative to the first frequency ((f+f(t))/N) of the first signal (V) and a fourth signal (V) with a fourth frequency (f(t)) compensated by the measurement frequency (f) relative to the second frequency ((f+f(t))/M) of the second signal (V) and determines a correlation spectrum from the third and fourth signal (V, V). The frequencies of the third and fourth signal (V, V) come to be disposed in each case within the frequency range of the correlation spectrum as a result of the frequency division of the frequency (f+f(t)) of the first and second measurement signal (V&#x2032;, V&#x2032;).

Method and device for measuring phase noise

A method for removing sinusoidal interference signals from a noise signal. The method includes transforming a measured signal (x(t), x(&#x3bc;&#xb7;&#x394;t)), which is composed of a limited number of sinusoidal interference signals (A&#xb7;e, A&#xb7;e) and a white noise signal (w(t), w(&#x3bc;&#xb7;&#x394;t)), into a subspace containing noise components and a subspace containing interference-signal components, and forming the spectrum of only the noise signal using the subspace containing the noise components. The entire frequency range is split into several frequency bands (&#x3bd;), in which each measured signal (x(t), x(&#x3bc;&#xb7;&#x394;t)) consists of a limited number (p(&#x3bd;)) of sinusoidal interference signals and a white noise signal.

Method and system for the detection and/or removal of sinusoidal interference signals in a noise signal

An approach is provided for measuring, identifying, and removing at least one sinusoidal interference signal (A&#xb7;e, A&#xb7;e) in a noise signal (w(t), w(&#x3bc;&#xb7;&#x394;t)). A frequency range to be measured is split into a plurality of frequency bands (&#x3bd;) via a Fast Fourier Transform (FFT) filter bank. For each of the frequency bands (&#x3bd;), an autocorrelation matrix ({circumflex over (R)}) is determined, wherein parameters of the autocorrelation matrices ({circumflex over (R)}) are variably adjusted based on whether the at least one sinusoidal interference signal (A&#xb7;e, A&#xb7;e) is to be measured, identified, or removed and further based on at least one averaging. The autocorrelation matrices ({circumflex over (R)}) are jointly utilized for one or more of measuring, identifying, or removing the at least one sinusoidal interference signal (A&#xb7;e, A&#xb7;e) in the noise signal (w(t), w(&#x3bc;&#xb7;&#x394;t)).

Method and system for noise measurement with combinable subroutines for the measurement, identification and removal of sinusoidal interference signals in a noise signal

A method and a system for the detection and/or removal of sinusoidal interference signals in/from a noise signal transforms a measured signal (x(t), x(&#x3bc;&#xb7;&#x394;t)) composed of a limited number of sinusoidal interference signals (A&#xb7;e, A&#xb7;e) and a white noise signal (w(t), w(&#x3bc;&#xb7;&#x394;t)) into a subspace containing its white noise components and a subspace containing its interference signal components. Following this, the individual sinusoidal interference signals (A&#xb7;e, A&#xb7;e) are determined using an estimation method within the subspace containing the noise components. The entire frequency range is split into several frequency bands (&#x3bd;), in which the measured signal (x(t), x(&#x3bc;&#xb7;&#x394;t)) consists of a limited number (p(&#x3bd;)) of sinusoidal interference signals (A&#xb7;e, A&#xb7;e) and a white noise signal (w(t), w(&#x3bc;&#xb7;&#x394;t)).

A system for the identification of sinusoidal interference signals from a noise signal is provided. The system includes a unit for the estimation () of an autocorrelation matrix ({circumflex over (R)}) of a measured signal (x(t), x(&#x3bc;&#xb7;&#x394;t)), composed from the sinusoidal interference signals (A&#xb7;e, A&#xb7;e) and the noise signal (w(t), w(&#x3bc;&#xb7;&#x394;t)), a unit () for frequency estimation, and a unit () for power-level determination of the spectral lines associated with the sinusoidal interference signals (A&#xb7;e, A&#xb7;e) A Fast Fourier Transform filter bank () is additionally provided for the generation of several frequency bands (v) for the measured signal (x(t), x(&#x3bc;&#xb7;&#x394;t)), composed of the sinusoidal interference signals (A&#xb7;e, A&#xb7;e) and the noise signal (w(t), w(&#x3bc;&#xb7;&#x394;t)).

A method for spectral analysis of a signal (s(t)) in several frequency bands with different frequency resolution adapts the two spectra of the signal (s(t)) from adjacent frequency bands relative to one another in the transitional range of the two frequency bands. The associated device contains a unit for discrete convolution (), which implements a smoothing of the discrete power spectra (|(k)|) of the discrete signal (s(k)) from adjacent frequency bands in the transitional range of the two frequency bands.

Method and device for spectral analysis in several frequency bands with different frequency resolution

An arrangement for measurement demodulation and modulation error measurement of a digitally modulated receive signal, which has a receive filter and a following demodulator for error compensation and for determining the ideal symbol samples. The measuring signal that is filtered in a reference filter and weighting filtered is then evaluated in a following evaluation circuit. The output signal of the demodulator is fed via a measuring filter to the evaluation circuit and the weighting filter function is formed by cascaded filter functions of the receiver filter and measuring filter.

Assembly for measurement demodulation and modulation error detection of a digitally modulated receive signal

A process for synchronization of an input signal (S) involves demodulating () the input signal (S) according to a particular demodulation method (AM) using a particular signal parameter for creation of a demodulated input signal (S); correlating () the demodulated input signal (S) with a comparison signal (f (AM,Signal)) which depends on the demodulation method (AM) to determine a time offset (&#x3c4;) between the demodulated input signal (S) and the comparison signal (f (AM,Signal)); and time displacing, or shifting, the input signal through the time offset (&#x3c4;) calculated from the correlation.

Process for synchronization

The invention relates to a method and a measuring device for determining a characteristic curve of a high frequency transmitter for transmitting a high frequency signal modulated with a modulation signal. A high frequency signal transmitted by the high frequency transmitter is received by a receiving device () and samples of a complex value, real baseband signal (MEAS) are generated therefrom. By demodulation of the samples of the real baseband signal (MEAS), a modulation symbol sequence (SYM) is obtained, from which an ideal baseband signal (REF) is simulated as reference signal. The real baseband signal (MEAS) is corrected, a corrected, real baseband signal (MEAS') is generated and the deviations of the samples of the corrected, real baseband signal (MEAS&#x2032;) from the samples of the ideal baseband signal (REF) are evaluated.

Measuring device and method for determining a characteristic curve of a high frequency unit

A circuit for the continuous and uninterrupted read-in of a large data volume of an electronic measuring device into a memory, having at least two dynamic storage elements ( ) each of which can accept only one data volume uninterrupted during an active phase (which data volume is limited relative to the total data volume to be read in) and must be prepared again for a new read-in during an inactive phase. These storage elements are so controlled via a control circuit ( ) that during the inactive phase of a first storage element (e.g. ), the data are read into a second storage element (e.g. ) which is prepared for the active phase, and when this second storage element must be prepared again, there is an automatic and uninterrupted changeover to another storage element (e.g. ) which is already prepared for the active phase, until the total data volume is read in.

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Mering, Germany

Hagen Eckert