Proceedings of IEEE 2008 6th National Conference on Telecommunication Technologies and
IEEE 2008 2nd Malaysia Conference on Photonics, 26-27 August 2008, Putrajaya, Malaysia
Circuit Element Modeling Scheme for a Hairpin
Resonator by Using EDA Tool
Goh Chin Hock, Sanjay Devkumar, Mohammad Hadi Badjian and Chandan Kumar Chakrabarty
Department of Electronics and Communication Engineering, Universiti Tenaga Nasional
Selangor Darul Ehsan, Malaysia
chinhockgunitenedm;
sanl y@unitenx t; mhadicuniten.edu.my;
chandanguniternedumy
Abstract-This paper describes how a circuit element
modeling scheme was used to analyze and optimize a
microstrip open loop resonator. With the discrete
optimization, realistic values can be assigned to the
designed resonator. The circuit element models of the open
loop resonator represent the structure very well with
respect to electromagnetic models. Besides that, it provides
a fine computation speed of simulation to study the
resonator. The understanding and intuition of particular
segment of the structure is very helpful and valuable for
the designers to make the initial estimation.
Keywords-analytical element model; open loop resonator;
discrete optimization; capacitive coupled structure
I. INTRODUCTION
The electromagnetic spectrum is limited and has to be
shared. Thus, emerging wireless communication system has
continued to challenge microwave filter with ever more
stringent constraint and particular specification. Microwave
filters were designed with higher performance, smaller
dimension, lighter weight and lower cost in order to meet the
market needs. As the resonators are the basic structure blocks
of microwave filters, numerous studies were performed by
researchers. Due to the advantages of small dimension and ease
of fabrication, microstrip hairpin resonator has been widely
investigated. From the conventional hairpin resonator to
proposed capacitive coupled structure and stepped impedance
hairpin resonator, size reduction has been significantly
achieved [1-2]. Besides that, the first spurious response has
been shifted to higher frequency band in order to have larger
bandwidth of stopband.
Numerous configurations of miniaturized hairpin resonators
and stepped impedance resonators were proposed. Figure 1
shows the various type of hairpin resonator has been proposed.
They have been described by using odd and even mode as well
as network models in term of ABCD matrix [3-6]. Besides that,
some resonator configurations include with valuable circuit
design implementation such as equivalent lumped element
circuits. However, microwave resonator realization can be
challenging as the values maybe assigned with unrealistic
value. Moreover, the resonator might difficult to be fabricated
as the size do not meet the specification of the printed circuit
board technology as shown in Table I. In this paper, circuit
element modeling scheme is used to design and analyzed the
microstrip open loop resonator. The open loop resonator is
segmented into two parts in order to study the characteristic of
the capacitive coupled transmission line. Useful information
about the effect of the dimension change is provided.
Figure 1. Various of type of hairpin open loop resonator
TABLE I. TYPICAL TRACE WIDTH, SPACE AND PAD SIZE
All Dimension in Inches
Type
Minimum metal width and space Minimum pad size
A 0.010 0.021
B 0.008 0.021
C 0.006 0.016
D 0.005 0.013
E 0.004 0.013
II. ELEMENT MODELS FOR OPEN LOOP RESONATOR
A conventional open loop hairpin resonator is modeled with
circuit element modeling scheme by using linear circuit
simulator. The modeling scheme is using EM quasi-static
model [7] that is heavily relies on the involved numerical
algorithms. Vector variables are defined for each parameter
that will be discretely optimized. Three hairpin resonators with
different feeding configuration are represented with element
models and analyzed with linear circuit simulator. Figure 2
shows the element models for the hairpin resonator type A.
Simulation response of the discretely optimized [8] open loop
resonator is shown in Figure 3 and 4. The simulation change on
the graph can be observed as the variables are tuned and
optimized. Table II shows the s-parameter of the discretely
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