Systems, methods, and devices enable spectrum management by identifying, classifying, and cataloging signals of interest based on radio frequency measurements. In an embodiment, signals and the parameters of the signals may be identified and indications of available frequencies may be presented to a user. In another embodiment, the protocols of signals may also be identified. In a further embodiment, the modulation of signals, data types carried by the signals, and estimated signal origins may be identified.

In one embodiment, a method is provided. The method comprises determining a free space path loss distance at a frequency of a transmitter; determining a morphology class for a geographic location of the transmitter; determining a scaling factor P corresponding to the determined morphology class; determining a circular analysis region based upon the scaling factor P; and generating a contour.

Methods for tracking a signal origin by a spectrum analysis and management device are disclosed. Signal characteristics of other known emitters are used for obtaining a position of an emitter of a signal of interest. In one embodiment, frequency difference of arrival technique is implemented. In another embodiment, time difference of arrival technique is implemented.

A method (10) of regenerating a signal is provided. The method involves sampling (13) a received signal to obtain a plurality of samples each having an associated magnitude. The samples are sorted (15) to obtain a statistical distribution (which may be a histogram). Known distributions are fitted to the statistical distribution using a fitting operation (16, 17), and for each a measure of similarity is obtained. A matched distribution is then determined from the measures of similarity (18), that is subsequently used to regenerate a signal (12) that itself is statistically representative of the originally sampled signal. Such a method mitigates the storage burden associated with the recording and subsequent regeneration of representative wireless signal environments for wireless device testing. Also relates to an apparatus for the same.

A method for providing real-time propagation analysis is provided. The method includes receiving a request for propagation analysis from a wireless communication device located at a specified geographic location, selecting a propagation model from a plurality of propagation models based on available databases for the geographic location, generating a path loss estimation using the selected propagation model, and providing the path loss estimation to the wireless communication device.

Methods for tracking a signal origin by a spectrum analysis and management device are disclosed. Signal characteristics of other known emitters are used for obtaining a position of an emitter of a signal of interest. In one embodiment, frequency difference of arrival technique is implemented. In another embodiment, time difference of arrival technique is implemented.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for processing communications signals using a machine-learning network are disclosed. In some implementations, pilot and data information are generated for a data signal. The data signal is generated using a modulator for orthogonal frequency-division multiplexing (OFDM) systems. The data signal is transmitted through a communications channel to obtain modified pilot and data information. The modified pilot and data information are processed using a machine-learning network. A prediction corresponding to the data signal transmitted through the communications channel is obtained from the machine-learning network. The prediction is compared to a set of ground truths and updates, based on a corresponding error term, are applied to the machine-learning network.

A method for measuring performance of at least one DUT in a reverberation chamber over a frequency band, the method including, iteratively: generating a fading scenario by the reverberation chamber; identifying at least one measurement sub-band included in the frequency band, wherein the at least one measurement sub-band complies with a gain flatness criterion; measuring performance of the at least one DUT in the at least one identified measurement sub-band, thereby generating at least one performance measurement result; accumulating the at least one performance measurement result; and determining measurement coverage and terminating the performance measurement in case the measurement coverage meets a coverage criterion.

A method is provided for generating test data for testing radio equipment. The method includes: determining, by a test apparatus, one or more beam identifiers; selecting, by the test apparatus, based on the one or more beam identifiers, one or more radio channel models; receiving, by the test apparatus, a baseband signal representing I/Q data of one or more beamforming antennas; processing, by the test apparatus, the baseband signal representing I/Q data according to the selected radio channel model; and transmitting, by the test apparatus, the processed baseband signal representing I/Q data to a radio equipment under test.

Embodiments of the present disclosure provide probe antenna determination methods and apparatuses. An exemplary method includes: determining N probe antenna models from preset M probe antenna models based on signal characteristic parameters of a first signal, where the first signal is a signal obtained after a transmit signal of an analog system is processed by a wireless channel model, the signal characteristic parameters include at least one of the following: a radiation energy value of the first signal in each direction and an angle power spectrum density of the first signal, the N probe antenna models are used to determine a probe antenna for testing a device under test, and both M and N are positive integers.