Design and Simulation of 2.4 GHz Wi-Fi Bandpass Filter Based on Parallel-Coupled Microstrip Lines

Xingyu Wen

doi:10.47297/taposatWSP2633-456924.20260708

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Design and Simulation of 2.4 GHz Wi-Fi Bandpass Filter Based on Parallel-Coupled Microstrip Lines

Volume 7, Issue 8

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Design and Simulation of 2.4 GHz Wi-Fi Bandpass Filter Based on Parallel-Coupled Microstrip Lines
Design and Simulation of 2.4 GHz Wi-Fi Bandpass Filter Based on Parallel-Coupled Microstrip Lines
Xinzhou Normal University, Xinzhou,Shanxi, 034000, China
Vol. 7, Issue 8, Pages: 122-127(2026)
Published：30 August 2026
DOI：10.47297/taposatWSP2633-456924.20260708
Accepted：

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Wen Xingyu.Design and Simulation of 2.4 GHz Wi-Fi Bandpass Filter Based on Parallel-Coupled Microstrip Lines[J].Theory and Practice of Science and Technology,2026,07(08):122-127.
DOI：

Wen Xingyu.Design and Simulation of 2.4 GHz Wi-Fi Bandpass Filter Based on Parallel-Coupled Microstrip Lines[J].Theory and Practice of Science and Technology,2026,07(08):122-127. DOI： 10.47297/taposatWSP2633-456924.20260708.

摘要

Abstract

This paper presents a reproducible design procedure for a 2.4 GHz parallel-coupled microstrip bandpass filter on an FR-4 substrate. For ε

= 4.4

h = 1.6 mm

and W = 3.0 mm

closed-form microstrip equations give an effective dielectric constant of 3.325

a characteristic impedance of 50.8 Ω

a guided wavelength of 68.5 mm

and an isolated quarter-wave starting length of 17.1 mm. The implemented ADS model uses 21 mm coupled sections because even- and odd-mode propagation

open-end fringing

coupling loading

and port discontinuities change the electrical length. The currently retained simulation plot places the response near 2.5 GHz

corresponding to a +4.17% frequency error relative to 2.4 GHz. The reported S

and S

levels of approximately -12 dB indicate only moderate matching and substantial transmission loss

so the design should be regarded as an intermediate prototype rather than a completed low-loss filter. A low-pass-prototype synthesis

a transparent optimization record

a one-factor-at-a-time sensitivity plan

and comparison with published filters are therefore added to guide the next ADS optimization cycle.

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references

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