Design and Simulation of Sierpinski Carpet Antenna utilizing Two Feeding Method

Akhtar, Nasreen; Bhomia, Yogesh; Bhardwaj, Arushi

doi:10.17485/ijst/2017/v10i35/118957

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fractal antennas development recommend today for their use in ultra-and super-high frequency bands. Among them, the Sierpinski fractal proved its ability to solve interesting applications (9)(10)(11)(12)(13)(14) and may also be used for remote vital signs sensing.…”

Section: Introductionmentioning

confidence: 99%

Microstrip patch and Sierpinski fractal antennas: simulations and experimental characterization for vital signs detection with Doppler radar technique

Vatamanu¹,

Iftode²,

Miclăuș³

2021

IJST

View full text Add to dashboard Cite

Objectives: To fabricate planar models of antennas with resonance frequencies in the ultrahigh frequency band that allow short-range detection of respiration and heartbeat by a simple continuous wave Doppler radar system. Methods: Models of antennas were created in CST Studio software and the main parameters were computed. Then, antennas were fabricated at a PCB prototyping machine and were experimentally characterized in an anechoic chamber. Total efficiency and radiation patterns indicated the best working frequencies of 2.12 GHz and 8.82 GHz respectively, to test the human vital signs detection with a continuous-wave Doppler radar technique in direct visibility conditions. Findings: The patch antenna at 2.12 GHz had a maximum gain of 3.15 dBi and total efficiency of 43% while the Sierpinski antenna at 8.82 GHz had a maximum gain of 5.5 dBi and total efficiency of 65%. At incident power densities on the human subject's chest of 4.5 x 10 -4 mW/m 2 and of 2.6 x 10 -2 mW/m 2 respectively, the Doppler radar system based on these antennas offered precise responses. Practically, it was possible to extract both the heartbeat rate and the respiration rate, by simply applying the classical FFT algorithm on a time-series phase data of the transmission coefficient recorded during 30 seconds, when the set-up was composed of just the antennas and a vector network analyzer. Novelty: Increased detection accuracy was obtained due to careful characterization of the antennas parameters with no need of special processing algorithms.

show abstract