Scalable Device Noise Parameter Determination
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Solution Overview
Problem
Conventional methods for determining noise parameters of scalable linear devices are limited, as attempting to use multiple sizes of the same device does not yield the device's numerical four noise parameters, and rely on specific noise models, restricting their applicability.
Innovation Solution
A method to determine noise parameters by detecting noise power from both input and output ports of a scalable device, allowing for independent model adoption and optional removal of external tuners, using a setup with a noise source, recirculator, and power detectors to measure noise powers at varying device sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple sizes of the same device are used to determine noise parameters, then the measurement can be performed without an external tuner, but the approach relies on specific noise models and does not yield the device's numerical four noise parameters
Solution Approach 1:
The patent changes the measurement approach by varying the device size parameter W and measuring noise power at both input and output ports. This allows extraction of four independent noise parameters (correlation matrix elements) through a system of equations, eliminating the need for external tuners while achieving model-independent results.
Solution Approach 2:
The patent introduces additional measurement equations through noise power detection at both ports, creating an intermediary measurement system that bridges the gap between simple single-port measurements and complex four-parameter characterization, enabling model-independent extraction.
2Measurement precision
If conventional noise measurement methods are used, then the standard procedure requires an external tuner, but this increases device complexity and measurement time
Solution Approach 1:
The patent extracts and removes the external tuner component from the measurement setup by leveraging the device's own size-dependent noise characteristics. The measurement system uses the device under test's intrinsic properties (admittance matrix proportional to size) to enable self-characterization without external tuning equipment.
Solution Approach 2:
The device under test performs its own characterization by utilizing its intrinsic size-dependent noise properties. The measurement system exploits the relationship between device size W and noise power to extract parameters, allowing the device to be characterized by its own characteristics rather than requiring external tuning equipment.
3Measurement precision
If a source tuner is used in the measurement setup, then noise parameters can be determined, but the overall characterization time increases
Solution Approach 1:
The patent performs preliminary characterization by measuring noise power at both input and output ports simultaneously for different device sizes. This preliminary measurement approach captures all necessary information to extract the four noise parameters directly, eliminating the need for subsequent tuner adjustments and reducing overall characterization time.
Solution Approach 2:
The measurement system continuously captures noise power information from both ports across different device sizes, maintaining useful measurement action throughout. This continuous measurement approach provides sufficient data for parameter extraction without requiring intermittent tuner adjustments, improving characterization efficiency.
Data Source
AI summary
A method to determine noise parameters of a scalable device, is presented in which the determination of the noise parameters of the scalable device is independent of the model adopted for the device. The scalable device is connected as part of a test circuit including a noise source, a recirculator, a first power detector and a second power detector. The first power detector is connected to the recirculator and between the noise source and the scalable device and the second detector is connected to the device under test.


