EM Environment Simulation Switching Device for Channel Calibration
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Solution Overview
Problem
Current calibration methods for generating electromagnetic environments are lengthy, complicated, and unstable, requiring frequent recalibration due to the intrinsic instability of channel emulators and lack of independent probe network calibration, leading to non-reproducible measurements.
Innovation Solution
A system with a switching device that connects the channel emulator to either the signal emitting or receiving unit without passing through the probe network for calibration, allowing independent channel calibration and maintaining stability over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional calibration methods using dipoles are employed, then calibration coverage across frequency bands is achieved, but the calibration process becomes lengthy and complicated requiring multiple dipoles for different frequency bands and polarizations
Solution Approach 1:
The calibration process is segmented into two independent parts: channel calibration and probe network calibration. This allows each part to be calibrated separately using optimized methods, avoiding the need for comprehensive multi-dipole setups across all frequency bands and polarizations simultaneously.
Solution Approach 2:
Channel calibration is performed as a preliminary action before probe network calibration. By pre-calibrating the channels using signal generators and receivers directly connected to channel emulators, the system establishes a stable baseline that simplifies subsequent probe network calibration and reduces overall calibration time.
2Adaptability or versatility
If channel emulators are used to transform RF signals through multiple channels, then signal transformation and multiplexing capabilities are improved, but intrinsic instability of channel emulators requires frequent recalibration
Solution Approach 1:
Channels are calibrated in advance before actual measurements, establishing correction factors that compensate for channel emulator instabilities. This preliminary calibration captures the state of channels at a known reference point, allowing subsequent measurements to be corrected relative to this baseline.
Solution Approach 2:
The system incorporates feedback mechanisms where calibration data from known antennas is used to determine correction factors for each channel. These correction factors are then applied to subsequent measurements, creating a closed-loop system that compensates for channel emulator drift and instability.
3Manufacturing precision
If dipoles with known responses are used for calibration, then channel characteristics can be corrected to match predefined signal responses, but the calibration lacks independent probe network calibration
Solution Approach 1:
The calibration system is divided into independent modules: channel calibration using signal generators and receivers, and separate probe network calibration. This segmentation allows each module to be optimized independently, reducing overall complexity while maintaining precision.
Solution Approach 2:
Known antennas serve as intermediary reference objects during calibration. By measuring the response of these antennas with known characteristics through the channel emulators and probe network, the system can determine correction factors that account for variations in both channels and probe network without requiring complex multi-dipole arrangements.
4Measurement precision
If comprehensive calibration of all components is performed, then measurement accuracy is improved, but the calibration becomes non-reproducible due to intrinsic instability of active microwave frequency elements
Solution Approach 1:
Calibration is performed as a preliminary action that establishes a reference state for the system. By calibrating channels and probe network separately before measurements and applying correction factors, the system creates a stable reference framework that improves reproducibility despite instabilities in active microwave elements during operation.
Solution Approach 2:
The calibration process incorporates feedback loops where measurement data from known reference antennas is used to determine and apply correction factors. This feedback mechanism allows the system to compensate for instabilities in channel emulators and probe network, maintaining measurement accuracy and reproducibility over time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach simplifies and automates channel calibration, ensuring stable and reproducible measurements by decoupling channel and probe network calibrations, reducing the need for frequent recalibrations and improving measurement accuracy.
Implementation Method 1
vary the phase, amplitude, frequency and group time of the signal which is emitted by the probe
Implementation Method 2
vary the phase, amplitude, frequency and group time of the signal
Implementation Method 3
probes for emitting electromagnetic radiations towards a test area
Implementation Method 4
collect the response of the object under test in order to be able to then evaluate it
Data Source
AI summary
The invention concerns a system for simulating electromagnetic environments, including a network of emitting and/or receiving probes to test at least one test antenna, channels for connecting the probes to a channel emulator, a signal emitting unit, a signal receiving unit, one of the units being connected to the emulator. The invention is characterized by a switching device having a first measurement position, in which the device connects the emulator respectively to at least one of the probes via the associated channel and connects the other unit to the test antenna, and a second position for calibrating the channels, in which the switching device connects the emulator to the other unit via the associated channel without passing through the network of probes.