Hairpin bandpass filter on metamaterial substrate / Muhammad Adam Mazlan
Hairpin bandpass filter, (BPF), is a very popular filter used in mobile and radio wireless communication. Hairpin BPF is easy to fabricate and has good return loss characteristics. Recent developments of wireless communication systems demand an efficient BPF to select the required signal from the ad...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2013
|
| Online Access: | https://ir.uitm.edu.my/id/eprint/79840/1/79840.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Hairpin bandpass filter, (BPF), is a very popular filter used in mobile and radio wireless communication. Hairpin BPF is easy to fabricate and has good return loss characteristics. Recent developments of wireless communication systems demand an efficient BPF to select the required signal from the adjacent signals. The limitation of conventional BPF is that the size of the filter, which relates to performance of the filter. To overcome this limitation, a new solution method of defected ground structure (DGS) having metamaterial characteristic can improve the performance of the BPF. Metamaterial bandpass filters are class of filters which use metamaterials to increase performance of miniaturized (physically small) filter systems. In this paper a metamaterial hairpin BPF with defected ground structure was designed for centre frequency of 2.3 GHz and 10% Fractional bandwidth (FBW) for WiMax application. The filters was simulated using CST MICROWAVE Studio® and Genesys Software on Rogers 3003 with er = 3 and h = 0.5mm. Hairpin filter was designed on metamaterial properties to enhance the result of the conventional filter. The simulation and measured results will be used to analyse the s-parameter, bandwidth and size of the filter. From simulation results, the performances of the metamaterial BPF have been increased in terms of return loss. By implementing metamaterial concept, the return loss, Sn, have been improved 38.51% from the conventional BPF, and the filter dimension have been reduced by 33.88%. |
|---|