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Related Concept Videos

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
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When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
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Power Pattern Sensitivity to Calibration Errors and Mutual Coupling in Linear Arrays through Circular Interval

Nicola Anselmi1, Marco Salucci2,3, Paolo Rocca4

  • 1ELEDIA@UniTN - University of Trento, Via Sommarive 9, I-38123 Trento, Italy. nicola.anselmi@eledia.org.

Sensors (Basel, Switzerland)
|June 4, 2016
PubMed
Summary
This summary is machine-generated.

This study analyzes how calibration errors and mutual coupling affect linear array power patterns. Circular Interval Analysis (CIA) provides reliable bounds for pattern deviations, outperforming other methods.

Keywords:
antenna arrayscalibration errorscircular intervalsinterval analysislinear arraysmutual couplingsensitivity analysis

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Area of Science:

  • Electromagnetics and antenna theory
  • Signal processing

Background:

  • Linear arrays are crucial in various applications, but their performance can be degraded by calibration errors and mutual coupling.
  • Accurate characterization of radiation pattern deviations is essential for reliable system design.

Purpose of the Study:

  • To analytically derive bounds for power pattern deviations in linear arrays caused by calibration errors and mutual coupling.
  • To assess the effectiveness and reliability of the Circular Interval Analysis (CIA) method.

Main Methods:

  • Exploiting Circular Interval Analysis (CIA) to derive analytical bounds.
  • Utilizing knowledge of nominal excitations and maximum amplitude uncertainty of array elements.
  • Comparing the proposed approach with state-of-the-art methods and full-wave simulations.

Main Results:

  • The study provides analytical bounds for power pattern deviations.
  • Numerical results demonstrate the effectiveness and reliability of the CIA approach.
  • The proposed method shows comparable or superior performance to existing techniques.

Conclusions:

  • Circular Interval Analysis (CIA) is an effective tool for bounding power pattern deviations in linear arrays.
  • The developed method reliably quantifies the impact of calibration errors and mutual coupling.
  • This approach enhances the design and performance prediction of linear antenna arrays.