Microstrip linear phase low pass filter based on defected ground structures for partial response modulation

2017 ◽  
Vol 60 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Bruno Cimoli ◽  
Tom Keinicke Johansen ◽  
Juan José Vegas Olmos
Keyword(s):  
Partial Response ◽  
Linear Phase ◽  
Response Modulation ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Defected Ground Structures ◽  
Ground Structures

Tunable Low-Pass MEMS Filter Using Defected Ground Structures (DGS)

2013 ◽  
Vol 712-715 ◽  
pp. 1798-1801 ◽  
Author(s):  
Xing Long Guo ◽  
Z.L. Wang ◽  
J. Huang ◽  
Z.J. Zhang ◽  
H.H. Yin ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
Periodic Structures ◽  
Pass Band ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Mems Switches ◽  
Low Pass ◽  
Frequency Changes ◽  
Defected Ground Structures ◽  
Ground Structures

In this paper, fully monolithic tunable millimeter-wave filters using defected ground structures (DGS) are proposed using the CPW-based periodic structures with novel multiple-contact MEMS switches. Millimeter-wave low-pass filters were designed, fabricated, and tested. The cascaded CPW-based periodic structures, with low-pass intrinsic filtering characteristics, are reconfigured into a self-similar single unit cell by the operation of the novel multiple-contact MEMS switches with single actuation. In the first order tuning, the 3-dB cut-off frequency changes from 8.2GHz to10.5GHz, and the second order tuning is 8.2GHz to 16.8GHz. The tested results show that the pass-band ripple is less than 1.2dB and the maximal out-of-band rejection is better than 27dB. The chip size of the low-pass filter is 2.5mm×1.2mm.

An improved stopband and sharp roll off microstrip low pass filter with defected ground structures

2015 ◽  
Vol 8 (3) ◽  
pp. 573-581 ◽  
Author(s):  
Agâh Oktay Ertay ◽  
Mehmet Abbak ◽  
Serkan Şimşek
Keyword(s):  
Filter Design ◽  
Design Procedure ◽  
Pass Filter ◽  
Low Pass Filter ◽  
High Frequency Structure Simulator ◽  
Microstrip Filters ◽  
Low Pass ◽  
Wave Research ◽  
Defected Ground Structures ◽  
Ground Structures

In this paper a novel low pass filter (LPF) design procedure is proposed for electromagnetic bandgap based microstrip filters without using classical filter design approach. LPF is designed for ultra-wide stopband and sharp roll-off rate via proposed design procedure. It has been shown that finite periodic fan-shaped defected ground structures (FSDGSs) and double radial stubs (DRSs) yield broad stopband and very sharp transition band. The proposed LPF has −3 dB passband from dc to 1.49 GHz, and −20 dB broad stopband from 1.65 GHz up to 7.41 GHz. Full wave electromagnetic (EM) simulation of the proposed filter is achieved with ANSYS's High Frequency Structure Simulator (HFSS) and equivalent circuit (EC) model of the filter is proposed and verified via Applied Wave Research (AWR) software. To verify the simulations, filter is realized on ARLON AD1000 substrate, and measured with Agilent 5245A PNA-X Vector Network Analyzer. Measurement results of fabricated filter are in good agreement with EM and EC simulations.

A novel low-pass filter using defected ground structures

2005 ◽  
Vol 46 (1) ◽  
pp. 17-20 ◽  
Author(s):  
Xue-Hui Guan ◽  
Guo-Hui Li ◽  
Zhewang Ma
Keyword(s):  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Defected Ground Structures ◽  
Ground Structures

scholarly journals Linear Phase FIR Low Pass Filter Design Based on Firefly Algorithm

2018 ◽  
Vol 8 (6) ◽  
pp. 4356
Author(s):  
Moath Sababha ◽  
Mohamed Zohdy
Keyword(s):  
Firefly Algorithm ◽  
Filter Design ◽  
Differential Evolution Algorithm ◽  
Linear Phase ◽  
Pass Filter ◽  
Low Pass Filter ◽  
De Algorithm ◽  
Low Pass ◽  
Finite Word ◽  
Search Routine

In this paper, a linear phase Low Pass FIR filter is designed and proposed based on Firefly algorithm. We exploit the exploitation and exploration mechanism with a local search routine to improve the convergence and get higher speed computation. The optimum FIR filters are designed based on the Firefly method for which the finite word length is used to represent coefficients. Furthermore, Particle Swarm Optimization (PSO) and Differential Evolution algorithm (DE) will be used to show the solution. The results will be compared with PSO and DE methods. Firefly algorithm and Parks–McClellan (PM) algorithm are also compared in this paper thoroughly. The design goal is successfully achieved in all design examples using the Firefly algorithm. They are compared with that obtained by using the PSO and the DE algorithm. For the problem at hand, the simulation results show that the Firefly algorithm outperforms the PSO and DE methods in some of the presented design examples. It also performs well in a portion of the exhibited design examples particularly in speed and quality.

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