Abstract: In one embodiment, a vector network analyzer (VNA) comprises a plurality of ports for coupling to a device under test (DUT), at least one reference receiver for measuring signals associated with the DUT, and logic for processing measurement data from the at least one reference receiver to compensate for transmission line effects, wherein the logic for processing evaluates a function, of several controllable variables, that is a sum of multiple transmission line models, wherein each of the controllable variables is related to a respective transmission line length associated with a corresponding transmission line model.

Abstract: In one embodiment, a method of automatically calibrating a network analyzer for measuring devices under test (DUTs) using a test fixture comprises generating a stimulus signal on a respective port that is coupled to the test fixture; measuring reflection of the stimulus signal on the respective port to generate measurement data, wherein the measurement data reflects a phase response of the test fixture; processing the measurement data to compensate for ripples generated by impedance mismatch at a coupling associated with the network analyzer and the test fixture; and adjusting a port extension setting of the network analyzer according to the processing.

Abstract: A test system and methods using the test system correlate measurements of a device under test (DUT) regardless of which test fixture is used for in-fixture testing of the DUT. The test system includes test equipment, a test fixture that interfaces the DUT to the test equipment, a computer and a computer program executed by the computer. The computer program includes instructions that implement determining a port-specific difference array for test fixtures used with the test system. The difference array describes a difference between the test fixtures at a corresponding test port thereof. The method includes determining the difference array, measuring a performance of the DUT in a second test fixture, and applying the difference array such that the measured performance approximates a hypothetical DUT performance for the DUT as if mounted in a first test fixture.

Abstract: In one embodiment, a method of operating a network analyzer, comprises applying a stimulus signal on at least one port of the network analyzer for provision to a device under test (DUT) within a test fixture coupled to the network analyzer; generating measurement data from the DUT in response to the stimulus signal on at least one port of the network analyzer; and generating an amplitude response of the DUT across a frequency range, wherein a port extension module of the network analyzer automatically applies loss compensation to the amplitude response in a manner that is non-linearly related to frequency according to at least one controllable parameter.

Abstract: In one embodiment, a method of operating a network analyzer, comprises applying a stimulus signal on at least one port of the network analyzer for provision to a device under test (DUT) within a test fixture coupled to the network analyzer; generating measurement data from the DUT in response to the stimulus signal on at least one port of the network analyzer; and generating an amplitude response of the DUT across a frequency range, wherein a port extension module of the network analyzer automatically applies loss compensation to the amplitude response in a manner that is non-linearly related to frequency according to at least one controllable parameter.

Abstract: In one embodiment, a method of automatically calibrating a network analyzer for measuring devices under test (DUTs) using a test fixture comprises generating a stimulus signal on a respective port that is coupled to the test fixture; measuring reflection of the stimulus signal on the respective port to generate measurement data, wherein the measurement data reflects a phase response of the test fixture; processing the measurement data to compensate for ripples generated by impedance mismatch at a coupling associated with the network analyzer and the test fixture; and adjusting a port extension setting of the network analyzer according to the processing.

Abstract: A graphical indicator to assist a user in adjusting the value of a parameter to a target value. The graphical indicator has target value indicia that represents a target value of the parameter, and measured value indicia that represents a measured value of the parameter. A change in a measured value of the parameter relative to the target value is represented by a first corresponding amount of movement of the measured value indicia relative to the target value indicia when the measured value is within a first span of parameter values, and a second, different corresponding amount of movement of the measured value indicia relative to the target value indicia when the measured value is within a second span of parameter values. The graphical indicator provides increased sensitivity to changes in the measured value of the parameter as the measured value becomes closer to the target value of the parameter.

Abstract: A method and system for calibrating a test system and a vector network analyzer use models of unknown calibration standards for a standards-based calibration. The models are selected for the unknown standards and performance data for each different calibration standard of the set are measured by the test system. The performance data is used to optimize the models by adjusting element values of constituent elements of the models. The optimized models are used to calibrate the test system such that the test system corrects for any imperfections in performance measurements taken of a device under test measured by the calibrated test system. The present invention further can correct for affects of a test fixture in device under test measurements. The method can also determine calibration coefficients for unknown calibration standards by extracting the calibration coefficients from the optimized models.

Abstract: A graphical indicator to assist a user in adjusting the value of a parameter to a target value. The graphical indicator has target value indicia that represents a target value of the parameter, and measured value indicia that represents a measured value of the parameter. A change in a measured value of the parameter relative to the target value is represented by a first corresponding amount of movement of the measured value indicia relative to the target value indicia when the measured value is within a first span of parameter values, and a second, different corresponding amount of movement of the measured value indicia relative to the target value indicia when the measured value is within a second span of parameter values. The graphical indicator provides increased sensitivity to changes in the measured value of the parameter as the measured value becomes closer to the target value of the parameter.