Equivalent isotropic response as a surrogate for incident field strength

Kuester, Daniel G.; McGillivray, Duncan A.; Ladbury, John M.; Wunderlich, Adam; Feldman, Albert; Young, William F.; Genco, Sheryl M.

doi:10.1109/apusncursinrsm.2017.8073074

Cited by 4 publications

(1 citation statement)

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“…The relative change in interference power applies to the received signal, as analyzed here, but also the EIIP [13] levels reported by [1], since the numerator and denominator are subject to the same frequency response. 9…”

Section: Interference Level Formula For Alternate Noise Conditionsmentioning

confidence: 99%

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: Interference Level Formula For Alternate Noise Conditionsmentioning

confidence: 99%