Noise parameter measurement system and method
OwnerChristos Tsironisinventor
Life of this patent
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Abstract
A wideband four noise parameter measurement system and method uses electro-mechanical wideband tuners and fast noise and small signal receivers (network analyzers) to collect noise data in fast frequency sweeps over a large number of randomly distributed source tuner states; because of the random nature of source impedances, additional monitoring equipment allow evaluating critical device parameters in view of output mismatch and instabilities in order to validate the measured data. Multiple noise parameter extractions for all possible cross-combinations of source impedance states at each measured frequency allows reliable and physically meaningful generation of wideband noise parameters, even for very low noise and potentially unstable DUT's.
Claims16
A two-port noise parameter measurement and extraction method for computerized noise measurement system,
- said system comprising a noise measurement path comprising a cascade of calibrated noise source, input DC bias network (Bias-T), automatic impedance tuner, DUT in a test fixture, output DC bias network (Bias-T), noise receiver,
- said noise measurement path being delimited between said noise source and noise receiver,
- and a small signal measurement path delimited between the ports of a network analyzer,
- and DC bias supply and DC bias and RF monitoring equipment,
- and RF switches allowing to direct the signal flow from noise to small signal measurement path;
- whereby the noise figure of the DUT is measured by the noise receiver using said calibrated noise source as a function of the source impedance;
- said source impedance being generated by said impedance tuner;
- said noise figure being measured at a multitude of frequencies and source impedances;
- and dedicated control, evaluation and noise parameter extraction software using a large number of random tuner settings and allowing extraction of two-port noise parameters through noise figure data filtering based on DUT stability and extraction convergence criteria,
- said extraction method comprising the following steps:
- a) biasing the DUT;
- b) collecting small signal s-parameter for all selected frequencies;
- c) synthesizing a number of pre-determined source-tuner-settings/tuning using the impedance tuner;
- d) verifying the physical stability of the DUT and jumping to step c) if DUT unstable;
- e) sweeping the measurement frequency of the noise receiver for each synthesized source tuner setting;
- f) collecting noise power data for the selected frequency;
- g) verifying the numerical stability of the DUT, by calculating the mismatch factor M and source reflection factor magnitude and jumping to next frequency point in e);
- h) verifying the validity of the measured noise figure data and eliminating unphysical data;
- i) continuing to e) for the next frequency until the end of the frequency loop;
- j) continuing to c) for the next source tuner setting until the end of the tuning loop;
- k) extracting the four two-port noise parameters for each frequency and a large number of source impedance permutations;
- l) selecting the extraction results to form a physically meaningful set of data over the whole frequency range.
A two-port noise parameter measurement and extraction method for computerized noise measurement system comprising a network analyzer as signal source and receiver and a signal and noise measurement path, said measurement path being delimited between the signal source and the receiver port of said network analyzer,
- and a cascade of input bias network (Bias-T), automatic impedance tuner, DUT in a test fixture, output bias network (Bias-T) and DC supply,
- and DC bias and RF monitoring equipment,
- and whereby a small signal is injected into the input port of the DUT by the signal source of said network analyzer at the test frequency, and the output signal of said DUT is injected into the receiver port of said network analyzer,
- and whereby the noise figure of the DUT is calculated from the ratio between RMS (root mean square) signal power and average signal power, measured by the receiver, as a function of the source impedance;
- said source impedance being generated by said impedance tuner;
- said noise figure being measured at a multitude of frequencies and source impedances;
- and dedicated control, evaluation and parameter extraction software using a large number of random tuner settings and allowing extraction of two-port noise parameters through noise figure data filtering based on DUT stability and extraction convergence criteria,
- said extraction method comprising the following steps:
- a) biasing the DUT;
- b) collecting small signal s-parameter for all selected frequencies;
- c) synthesizing a number of pre-determined source-tuner-settings/tuning using the impedance tuner;
- d) verifying the physical stability of the DUT and jumping to step c) if DUT unstable;
- e) sweeping the measurement frequency of the noise receiver for each synthesized source tuner setting;
- f) collecting noise power data for the selected frequency;
- g) verifying the numerical stability of the DUT, by calculating the mismatch factor M and source reflection factor magnitude and jumping to next frequency point in e);
- h) verifying the validity of the measured noise figure data and eliminating unphysical data;
- i) continuing to e) for the next frequency until the end of the frequency loop;
- j) continuing to c) for the next source tuner setting until the end of the tuning loop;
- k) extracting the four two-port noise parameters for each frequency and a large number of source impedance permutations;
- l) selecting the extraction results to form a physically meaningful set of data over the whole frequency range.
A two-port noise parameter measurement and extraction method for a test system as in 9, whereby said measured data are validated in step 23d) as follows:
- for each source tuner setting at which
- a) the DC bias current displays instability all frequency data points are discarded from the measurement data base;
- said instability being detected by sudden change in DC bias current, or
- b) the spectrum analyzer detects spurious oscillations, at any frequency, data points at all frequencies are discarded from the measurement data base.
Dependencies are inferred from the claim text.