An RF signal detection device, including: a first threshold crossing detection circuit comprising an input coupled to an input of the RF signal detection device; a first energy detection circuit comprising an input coupled to the input of the RF signal detection device; a second threshold crossing detection circuit comprising an input coupled to an output of the first energy detection circuit; and further including a control circuit configured to: carry out, by the first threshold crossing detection circuit, detection of at least a first threshold crossing frequency in a predetermined RF frequency band; and carry out, by the first energy detection circuit, energy detection in the predetermined RF frequency band; and carry out, by the second threshold crossing detection circuit, detection of at least a second threshold crossing frequency of a first energy signal delivered as an output from the first energy detection circuit; and determine, at least from the first and second threshold crossing frequencies and the first energy signal, whether a single RF signal is present in the RF frequency band.

A frequency mask trigger capable of triggering based on a logical combination of two or more areas of a frequency mask transforms a frame of digital data representing an input signal into a frequency spectrum having a plurality of frequency bins, with each frequency bin having a power amplitude value. A frequency mask is defined having a plurality of reference power levels, one reference power level being associated with each frequency bin. Two or more areas of the frequency mask are defined, with each mask area corresponding to one or more of the frequency bins. A violation status is determined for each mask area by comparing all of the power amplitude values within each mask area to the associated reference power level. If any of the power amplitude values within the mask area violates the associated reference power level, then the entire mask area is deemed to be violated. A trigger signal is generated when a logical combination of the violation statuses of the mask areas is satisfied.

The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.

A system for analyzing a microwave-frequency signal by imaging is provided, comprising: a solid material at least one optical property of which is modifiable in at least one zone of the material, when the zone is simultaneously in the presence of an optical excitation or electrical excitation and a microwave-frequency signal having at least one frequency coinciding with a resonant frequency of the material,
the material furthermore being such that a value of the resonant frequency varies as a function of the amplitude of a magnetic field, a magnetic field generator configured to generate a magnetic field having, in the interior of a portion of the zone, a spatial amplitude variation in a direction X, the material then having a resonant frequency that is dependent on a position in the direction X, and a detector configured to receive an image of the zone in said direction X.

A system for analyzing a microwave-frequency signal by imaging is provided, comprising: a solid material at least one optical property of which is modifiable in at least one zone of the material, when the zone is simultaneously in the presence of an optical excitation or electrical excitation and a microwave-frequency signal having at least one frequency coinciding with a resonant frequency of the material,
the material furthermore being such that a value of the resonant frequency varies as a function of the amplitude of a magnetic field, a magnetic field generator configured to generate a magnetic field having, in the interior of a portion of the zone, a spatial amplitude variation in a direction X, the material then having a resonant frequency that is dependent on a position in the direction X, and a detector configured to receive an image of the zone in said direction X.

A wideband spectrum analyzer is disclosed that has good image suppression and dynamic range. The wideband spectrum analyzer includes at least one signal input, and at least one signal channel with a first filter module and a second filter module. The first filter module and the second filter module are connected with the at least one signal input downstream of the at least one signal input in a series connection. The first filter module includes first switches. The first filter module includes several different highpass filters being arranged in a parallel connection. The first switches are configured to selectively connect one of the highpass filters with an input of the first filter module and an output of the first filter module. The second filter module includes second switches. The second filter module includes several different lowpass filters being arranged in a parallel connection. The second switches are configured to selectively connect one of the lowpass filters with an input of the second filter module and an output of the second filter module.

Analysis of signal spectrum within a defined time period is performed by storing a signal sample, providing a displayable representation of the signal, and providing a detailed representation or analysis of a portion of the signal sample. An electromagnetic signal is received and corresponding data is stored. A signature characteristic of the signal is identified by examining general file characteristics, such as RF data and header file information. Time and frequency characteristics of the signal are determined and digital I/Q signal data are processed. A selection of a portion of the received electromagnetic field is identified and vector signal processing is applied to create a second set of similar plots, corresponding to the identified selected portion to provide simultaneous display in two display windows, with the second display window displaying the identified selected portion.

The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.

The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.

A method and system for testing the conversion losses of terahertz mixers capable of eliminating the influence of radio frequency sources includes grouping a mixer to be tested and at least two reference mixers in pairs; in each group, inputting a signal of a preset frequency and a preset power at an intermediate frequency port of a first mixer, and after up-conversion, outputting same to a second mixer to be down-converted, so as to obtain an output power with the frequency same as the preset frequency, and obtain the relationship between a first output power and a first preset power and the losses of two mixers; according to the relationship between the loss of the mixer in each group and the power, obtaining the loss of the mixer to be tested.