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Evaluating the sensitivity of a correlation method of measurement of fluctuating radio signals.

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Title: Evaluating the sensitivity of a correlation method of measurement of fluctuating radio signals.
Authors: Ermolenko, I. A.1, Morar, V. V.1
Source: Technical Physics Letters. Aug2006, Vol. 32 Issue 8, p647-649. 3p. 1 Diagram, 1 Chart.
Subjects: Heterodyne reception, Radio astronomy, Semiconductors, Stroboscopes, Physics
Abstract: Correlation techniques are used to measure weak fluctuating signals encountered in various physical problems. A new correlation meter is proposed which operates using higher harmonics of a heterodyne signal. The sensitivity of the proposed device is evaluated, the measurement error caused by the first approximation is estimated, and the influence of nonlinear distortions of the analyzed signals is studied. [ABSTRACT FROM AUTHOR]
Copyright of Technical Physics Letters is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Correlation techniques are used to measure weak fluctuating signals encountered in various physical problems. A new correlation meter is proposed which operates using higher harmonics of a heterodyne signal. The sensitivity of the proposed device is evaluated, the measurement error caused by the first approximation is estimated, and the influence of nonlinear distortions of the analyzed signals is studied. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Technical Physics Letters is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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