Systems and methods are disclosed for providing at least one report relating to a wireless communications spectrum. At least one device is operable for wideband scan; to detect and measure at least one signal transmitted from at least one signal emitting device autonomously, thereby creating signal data; to analyze the signal data in near real-time, thereby creating analyzed data; generate the at least one report in near real-time; and to communicate at least a portion of the at least one report over a network to at least one remote device.

A radio channel generator has a radio channel model predistorted on the basis of a predetermined chamber model. An emulator receives the weights of the radio channel model predistorted on the basis of the chamber model. A transmitter feeds a communication signal to the emulator. The emulator weights the communication signal with the radio channel model predistorted on the basis of the chamber model. The over-the-air antennas receive the weighted communication signal and transmit it to a device under test. The chamber model is based on a simulation or a measurement. The chamber model takes into account undesired interactions in the over-the-air chamber for cancelling them during the radio channel emulation.

Devices and methods enable optimizing a signal of interest based on identifying and analyzing the signal of interest based on radio frequency energy measurements. Signal data is compared with stored data to identify the signal of interest. Signal degradation data is calculated based on noise figure parameters, hardware parameters and environment parameters. The signal of interest is optimized based on the signal degradation data. Terrain data may also be used for optimizing the signal of interest.

Systems, methods, and devices enable spectrum management by identifying, classifying, and cataloging signals of interest based on radio frequency measurements. Signal data is compared with stored data to identify the signal of interest. Signal degradation data is calculated based on noise figure parameters, hardware parameters and environment parameters.

MIMO test systems and methods are provided that eliminate the need for a wired connection between the test system and the antenna ports of the DUT, thereby eliminating the need to open up the housing of the DUT and risk damaging or destroying it. The MIMO test systems and methods also eliminate the need for an anechoic chamber, thereby eliminating the cost and space requirements associated therewith. A suitable non-anechoic, electromagnetically-shielded chamber can be used in the test system that is much less expensive and that has a much smaller spatial footprint than a typical anechoic chamber used in MIMO test systems.

Systems and methods are disclosed for providing at least one report relating to a wireless communications spectrum. At least one device is operable for wideband scan; to detect and measure at least one signal transmitted from at least one signal emitting device autonomously, thereby creating signal data; to analyze the signal data in near real-time, thereby creating analyzed data; generate the at least one report in near real-time; and to communicate at least a portion of the at least one report over a network to at least one remote device.

The disclosure provides a wireless channel scenario identification method and system. The method includes: simulating different wireless channel scenarios to obtain a channel scenario baseband signal y(t).sub.pq; extracting a feature parameter of y(t).sub.pq, extracting an autocorrelation function A.sub.h(t).sub.pq and performing a Fourier transform thereon to obtain a power spectral density function S(t).sub.pq; normalizing S(t).sub.pq to obtain a normalized channel scenario power spectral density function S(t).sub.pq; designing a deep learning network and inputting S(t).sub.pq and a category label pair to train the deep learning network; and for a system with a channel scenario to be identified, collecting a passband signal at its receiving end, obtaining the normalized scenario power spectral density function Ŝ(t).sub.pq, and using Ŝ(t).sub.pq as an input of the trained classifier, the output of the classifier being a label sequence of the channel scenario, and the channel scenario is effectively determined.

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.

Systems and methods are disclosed for providing at least one report relating to a wireless communications spectrum. At least one device is operable for wideband scan; to detect and measure at least one signal transmitted from at least one signal emitting device autonomously, thereby creating signal data; to analyze the signal data in near real-time, thereby creating analyzed data; generate the at least one report in near real-time; and to communicate at least a portion of the at least one report over a network to at least one remote device.

Systems, methods and apparatus for spectrum data management for a radio frequency (RF) environment are disclosed. An apparatus comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine. The apparatus is at the edge of a communication network. The at least one receiver processes RF energy received from the RF environment, thereby generating processed data. The ASD module is configured to extract meta data and detect anomaly based on the processed data. The learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data. The apparatus is operable to generate at least one report for the RF environment.