Design of a sharp response microstrip lowpass filter using taper loaded and radial stub resonators

5Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

This paper proposes a compact microstrip lowpass filter with a wide stopband and a very sharp roll-off. This structure consists of two dual taper-loaded resonators that are connected to the radial stubs. The resonators are described using an LC model, and its Z- and S-parameters are extracted as a function of the LC component. In the proposed filter, cut-off frequency is placed at 1.76 GHz, roll-off rate is higher than 142 dB/GHz, insertion loss is less than 0.42 dB from DC to 1.5 GHz, and rejection is greater than -24 dB from 1.88 to 15.2 GHz. The proposed filter is designed, fabricated, and measured, and the measured values are in good agreement with the EM-simulated results.

References Powered by Scopus

Compact quasi-elliptic microstrip lowpass filter with wide stopband

81Citations
N/AReaders
Get full text

A novel low-pass filter with an embedded band-stop structure for improved stop-band characteristics

57Citations
N/AReaders
Get full text

Compact, broad-stopband lowpass filters using SIRs-loaded circular hairpin resonators

56Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Design of a low pass filter using rhombus-shaped resonators with an analytical LC equivalent circuit

33Citations
N/AReaders
Get full text

Range Image-Aided Edge Line Estimation for Dimensional Inspection of Precast Bridge Slab Using Point Cloud Data

2Citations
N/AReaders
Get full text

SICL based Ka-band series SPDT switch for duplexer application

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Majidifar, S., & Hayati, M. (2017). Design of a sharp response microstrip lowpass filter using taper loaded and radial stub resonators. Turkish Journal of Electrical Engineering and Computer Sciences, 25(5), 4013–4022. https://doi.org/10.3906/elk-1609-130

Readers over time

‘18‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 2

50%

Professor / Associate Prof. 1

25%

Researcher 1

25%

Readers' Discipline

Tooltip

Engineering 4

80%

Neuroscience 1

20%

Save time finding and organizing research with Mendeley

Sign up for free
0