College - Author 1

College of Engineering

Department - Author 1

Electrical Engineering Department

Degree Name - Author 1

BS in Electrical Engineering

College - Author 2

College of Engineering

Department - Author 2

Electrical Engineering Department

Degree - Author 2

BS in Electrical Engineering

College - Author 3

College of Engineering

Department - Author 3

Electrical Engineering Department

Degree - Author 3

BS in Electrical Engineering

College - Author 4

College of Engineering

Department - Author 4

Electrical Engineering Department

Degree - Author 4

BS in Electrical Engineering

College - Author 5

College of Engineering

Department - Author 5

Electrical Engineering Department

Degree - Author 5

BS in Electrical Engineering

Date

7-2026

Primary Advisor

Payam Nayeri, College of Engineering, Electrical Engineering Department

Additional Advisors

Steve Dunton, College of Engineering, Electrical Engineering Department

Abstract/Summary

This project presents the design, fabrication, and experimental evaluation of a broadband 3x3 Archimedean spiral antenna array tile for 2.8-3.8 GHz. Each element combines a two-arm spiral on Rogers RO4350B, a printed 50 to 150 Ω tapered balun, and a conductive backplane. Klopfenstein and Exponential feed implementations were modeled in Ansys HFSS, generated and tuned with automated scripting, fabricated, and evaluated with calibrated network and anechoic-chamber measurements. The Klopfenstein-fed hardware met the -10 dB input-reflection criterion across the project band. The exponential array provided a broad matched response but reached approximately -8 dB near 2.95 GHz. Measured center-element patterns retained the broadside, forward-directed behavior predicted by simulation, although upper-band agreement was limited by the 1.2 m chamber setup range and phase incoherence. At 3.3 GHz, simulation produced approximately 7.58 dBi boresight RHCP gain and 7.4 dB RHCP-to-LHCP discrimination. The completed work provides a scalable tapered balun fed antenna array for demonstrations and a restored Python-based chamber workflow for future antenna measurements at Cal Poly.

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