A Complete Noise- and Scattering-Parameters Test-Set

Garelli, Marco; Ferrero, A.; Bonino, S.

doi:10.1109/tmtt.2009.2013315

Cited by 7 publications

(4 citation statements)

References 23 publications

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“…잡음 파라미터를 측정하는 통상적 인 방법으로는 NFA(Noise Figure Analyzer) [2], [3] . 최근에는 PNA-X 회로망 분석기 와 임피던스 튜너를 결합한 잡음 파라미터 측정 셋업이 발표된 바 있다 [4] . 그러나 전통적인 이 방법은 고가이며, 임피던스 튜너의 조정으로 인해 상당한 계측시간을 요 구하고, 또한 온-웨이퍼(on-wafer) 측정에 상당한 제약을 준다.…”

Section: ⅰ 서 론unclassified

Measurement Method of Noise Correlation Matrix Using Relative Noise Ratio

Lee

Yeom²

2016

The Journal of Korean Institute of Electromagnetic Engineering

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In general, noise measurement results show larger random ripple than those of the network analyzer. The reason for the lager random ripple of the noise measurements is considered that the general noise measurements uses absolute measured noise powers, while the network analyzer measures using a ratio of the measured powers. In this paper, a novel measurement method of noise correlation matrix using relative noise ratios is proposed. Proposed method measures the five noise powers of DUT for the five input impedance variations and the four relative noise ratios are formed using the five measured noise powers. The four noise ratios are used to compute the noise correlation matrix and noise parameters. The resulting noise parameters for a 0.5 dB attenuator show good agreements with theoretical values calculated by S-parameters. Also, the noise parameters of an active DUT with a noise figure of less than 1 dB are measured and the measured results show a small random ripple as expected and their values are physically acceptable. In conclusion, the proposed method can be applied to the noise parameter measurements for DUT with a noise figure below 1 dB.

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Section: ⅰ 서 론unclassified

Measurement Method of Noise Correlation Matrix Using Relative Noise Ratio

Lee

Yeom²

2016

The Journal of Korean Institute of Electromagnetic Engineering

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“…Thus, from (2), for this termination condition can be expressed as (8) The vectors , , and are independent and their available noise power density is given by . The noise powers at the measurement ports can be expanded as (9) The operation denotes the diagonal of a matrix and represents conjugate transpose.…”

Section: A Determination Ofmentioning

confidence: 99%

“…On the other hand, all the thermal noises in (8) are incident on the virtual eight-port network. Thus, should be 0 in the computation of in (9). The contribution of to appears due to the reflection at port 1.…”

Section: A Determination Ofmentioning

confidence: 99%

“…It is shown in [8] that the accuracy of the noise parameters measurement can be improved with the complement of vector network measurement. The mechanical impedance tuner based technique with the aid of a vector network analyzer is currently the most popular commercial noise parameter measurement setups [9], [10]. Recently, the noise parameter measurement setup using the mechanical impedance tuner has shown remarkable progress.…”

Section: Introductionmentioning

confidence: 99%

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An Extraction of Two-Port Noise Parameters From Measured Noise Powers Using an Extended Six-Port Network

Ahmed

Yeom

2014

IEEE Trans. Microwave Theory Techn.

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In this paper, we present a formulation for extracting the noise wave correlation matrix of a linear two-port device-under-test (DUT) from measured noise powers using a designed six-port network. The noise powers are measured using a conventional noise figure analyzer. The extracted noise wave correlation matrix can then be converted into conventional two-port noise parameters. The proposed measurement equipment is very simple and leads to a very low cost. The proposed method is experimentally verified through measurements of various DUT samples.Index Terms-Calibration, noise figure, noise parameters, noise waves correlation matrix, six-port network. 0018-9480

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Comparative analysis of receiver bandwidth effects on Y-factor and cold-source noise figure measurements

Otegi

Collantes

Sayed

2013

Int. J. Microw. Wireless Technol.

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A known source of error in noise figure characterization is the variation of the device characteristics within the bandwidth of the instrument receiver. In this paper, an in-depth analysis of the effect of the receiver bandwidth on noise figure characterization accuracy is developed. For the first time, comparative results for Y-factor and cold-source techniques are given. The analysis clarifies some contradictions about the origin and the final impact of bandwidth effects in Y-factor. In addition, effects derived from an excessively wide bandwidth of the noise receiver are shown to be completely different in both techniques, being more critical in cold-source. As a result of the analysis, correction terms are provided for those cases in which receivers with narrow enough bandwidths are not available. The conclusions extracted from the theoretical formulation are confirmed by the measurements carried out on several narrow-band devices under tests with different characteristics.

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A Complete Noise- and Scattering-Parameters Test-Set

Cited by 7 publications

References 23 publications

Measurement Method of Noise Correlation Matrix Using Relative Noise Ratio

Measurement Method of Noise Correlation Matrix Using Relative Noise Ratio

An Extraction of Two-Port Noise Parameters From Measured Noise Powers Using an Extended Six-Port Network

Comparative analysis of receiver bandwidth effects on Y-factor and cold-source noise figure measurements

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