Black box measurement of system noise in integrated wireless receivers

Kuester, Daniel G.; McGillivray, Duncan A.; Genco, Sheryl M.; Gu, Dazhen

doi:10.1109/apwc.2017.8062282

Cited by 2 publications

(7 citation statements)

References 6 publications

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“…Radiated test methods that can separate these contributions are still subjects of active research. Recently proposed techniques [2] require the ability to disconnect the receive antenna from the receiver front-end, which is not practical for many integrated receivers.…”

Section: Introductionmentioning

confidence: 99%

“…• Front-end receive electronics may be characterized by measuring the low-noise amplifer (LNA) noise fgure (if it is separable), or with one-port methods like that in [2].…”

mentioning

confidence: 99%

“…• Active antenna noise performance might be measured by G/T [4]- [6] or plane-wavereferred noise [2].…”

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confidence: 99%

“…• Plane-wave-referred noise [2] of the receive antenna system, extended to be run in a thermal test chamber at various brightness temperatures.…”

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confidence: 99%

“…The decision to undertake these measurements should not be taken lightly. Measurement of planewave-referred noise in [2] took approximately 8 hours for a single GPS receiver at a single ambient temperature. This could approximately double the time required to perform interference tests.…”

mentioning

confidence: 99%

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Interference tests at room temperature applied to deployed low-noise receivers

Kuester¹,

McGillivray²,

Wunderlich³

et al. 2017

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Wireless interference tests are often performed in shielded anechoic and semi-anechoic chambers near room temperature. The corresponding test condition experienced by a receiver device under test (DUT) is that the antenna noise temperature is equal to the physical temperature in the test chamber, barring electromagnetic interference (EMI).This technical note considers a simple analytical model for estimating adjusted interference response from these room temperature tests for use in deployment antenna noise environments. The method applies to receivers that provide estimates of signal-to-noise ratio (SNR) that are approximately linear for low signal-to-interference-plus-noise ratio (SINR). The result of these estimates is most accurate when the total receiver system noise is not dominated by antenna noise temperature. Example applications include ground-based satellite receivers (for which antenna noise temperature is likely the averaged sky temperature) or cellular handsets (for which noise may originate primarily within the receiver electronics and antenna).As a case study, we analyze test results published in NIST Technical Note 1952 [1]. The DUTs under study are global positioning system (GPS) L1 receivers exposed to antenna ("sky") noise temperatures of 90 K to 340 K. For practical combinations of receiver noise fgure and receive antenna eÿciency performance, we develop an regression correction model that transforms interference power levels from the room temperature test environment into estimated equivalents in deployment. The regression is a function of antenna noise temperature, leaving receiver performance variability as a ft error. The worst-case error across the receiver performance parameter space was ±1.6 dB, which is tighter than the ±2.4 dB uncertainty in the measurement of interference power level [1].v

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Section: Introductionmentioning

confidence: 99%

“…• Front-end receive electronics may be characterized by measuring the low-noise amplifer (LNA) noise fgure (if it is separable), or with one-port methods like that in [2].…”

mentioning

confidence: 99%

“…• Active antenna noise performance might be measured by G/T [4]- [6] or plane-wavereferred noise [2].…”

mentioning

confidence: 99%

“…• Plane-wave-referred noise [2] of the receive antenna system, extended to be run in a thermal test chamber at various brightness temperatures.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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