Journal
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Volume 62, Issue 3, Pages 1253-1260Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2013.2294021
Keywords
Flexible electronics; microstrip antennas; random variables; statistical analysis; textile antennas
Funding
- Agency for Innovation by Science and Technology in Flanders (IWT)
- BELSPO through the IAP Phase VII BESTCOM project
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The generalized polynomial chaos theory is combined with a dedicated cavity model for curved textile antennas to statistically quantify variations in the antenna's resonance frequency under randomly varying bending conditions. The nonintrusive stochastic method solves the dispersion relation for the resonance frequencies of a set of radius of curvature realizations corresponding to the Gauss quadrature points belonging to the orthogonal polynomials having the probability density function of the random variable as a weighting function. The formalism is applied to different distributions for the radius of curvature, either using a priori known or on-the-fly constructed sets of orthogonal polynomials. Numerical and experimental validation shows that the new approach is at least as accurate as Monte Carlo simulations while being at least 100 times faster. This makes the method especially suited as a design tool to account for performance variability when textile antennas are deployed on persons with varying body morphology.
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