Indonesi
an
Journa
l
of El
ect
ri
cal Engineer
ing
an
d
Comp
ut
er
Scie
nce
Vo
l.
1
3
,
No.
2
,
Febr
uar
y
201
9
, pp.
696
~701
IS
S
N: 25
02
-
4752, DO
I: 10
.11
591/ijeecs
.v1
3
.i
2
.pp
696
-
7
01
696
Journ
al h
om
e
page
:
http:
//
ia
es
core.c
om/j
ourn
als/i
ndex.
ph
p/ij
eecs
Des
i
gn o
f compa
ct multi
-
mode mi
crostrip
reson
ator f
ilt
ers for
du
al
-
band
applic
atio
n
Nu
rsh
amimi
Ro
sli
1
, Si
ti
A
mi
na
h
M
d Ak
hir
2
, S
iti Z
urai
da
h I
brahi
m
3
, Nur Ba
ya
M
oh
d
H
as
him
4
,
Nu
reh
an
s
afw
anah Kh
alid
5
1,2,3,5
Advanc
ed
C
om
m
unic
at
ion
E
ngine
er
ing
(AC
E)
Cen
tre,
Univ
e
rsiti
Ma
lay
sia
Pe
rli
s,
Ma
lay
si
a
4
School
of
Com
pute
r and
Com
m
unic
a
ti
on
Engi
ne
eri
ng,
Univer
si
ti
Malay
s
ia Perl
is
,
Malay
s
ia
Art
ic
le
In
f
o
ABSTR
A
CT
Art
ic
le
history:
Re
cei
ved
A
ug
1
2
, 201
8
Re
vised
N
ov
5
, 2018
Accepte
d
Nov
2
6
, 201
8
Thi
s
pap
er
p
res
ent
s
th
e
d
esign
of
compac
t
m
ulti
-
m
ode
m
ic
rostri
p
resona
to
r
fil
ters
for
dual
-
band
applicatio
n.
The
d
esign
i
s
sim
ula
te
d
using
Advanc
e
d
Design
S
y
st
em
(AD
S)
2016
software
.
Th
e
b
enefit
of
th
e
propo
sed
filter
is
found
to
hav
e
a
d
ual
-
m
ode
fr
equenc
y
,
where
th
e
o
dd
-
m
ode
resona
nt
fr
equen
c
y
is
the
fund
ament
al
fre
quen
c
y
rep
rese
nte
d
b
y
th
e
l
engt
h
of
the
reso
nat
or
while
the e
v
en
-
m
ode
r
esona
nt
fre
qu
ency
is
rep
r
ese
nt
ed
b
y
th
e
l
engt
h
of
t
he
stub
.
T
o
va
li
d
at
e
the
d
esi
gn,
a
pro
toty
pe
is
fab
ricat
ed
on
Rogers
RO4003C
subs
tra
te
and
m
ea
sured
using PNA
Network
Anal
y
z
er.
Ke
yw
or
d
s
:
Ba
ndpass
f
il
te
r
Du
al
-
m
od
e res
on
at
or
Mi
cro
strip
f
il
te
r
Stub
-
loa
de
d
re
so
na
tor
Copyright
©
201
9
Instit
ut
e
o
f Ad
vanc
ed
Engi
n
ee
r
ing
and
S
cienc
e
.
Al
l
rights re
serv
ed
.
Corres
pond
in
g
Aut
h
or
:
Sit
i Zur
ai
da
h I
br
a
him
,
Adva
nced Co
m
m
un
ic
at
ion
E
ng
i
neer
i
ng (A
CE) Cent
re,
School
of Com
pu
te
r
a
nd Com
m
un
ic
at
ion
Enginee
rin
g,
Un
i
ver
sit
i M
al
ay
sia
Per
li
s,
Pauh Mai
n
Ca
m
pu
s,
02
600 A
rau, Pe
rlis, Ma
la
ysi
a.
Em
a
il
: si
t
iz
ur
ai
dah@
un
im
ap.
edu.m
y
1.
INTROD
U
CTION
The
m
ic
ro
wave
filt
er
is
a
c
ompone
nt
t
hat
pro
vid
es
the
sel
ect
ivit
y
of
a
fr
e
quency
i
n
m
ob
il
e
and
sat
el
li
te
com
m
un
ic
at
ion
,
ra
dar
an
d
re
m
ote
sensing
s
yst
e
m
op
erati
ng
at
t
he
m
ic
ro
wav
e
f
reque
nc
y.
The
m
ic
ro
strip
filt
er
is
a
t
wo
port
ne
twork
that
al
lo
ws
t
he
desi
red
fr
e
qu
e
ncy
w
hile
at
te
nuat
ing
th
e
un
wan
te
d
sig
nal
fr
e
qu
e
ncy
of
the
filt
er
[
1
-
2].
Mi
crowa
ve
m
ulti
-
band
es
pecial
ly
du
al
-
ba
nd
ba
ndpass
filt
er
be
com
es
i
m
po
rtant
com
ponen
t
c
ircuit
s
in
m
od
er
n
wir
el
ess
com
m
un
ic
at
ion
syst
em
since
it
helps
to
e
nhance
the
reli
abili
ty
[3
]
.
They
al
s
o
nee
d
to
be
com
pact
and
hi
gh
sel
ect
ivit
y.
Mult
iban
d
filt
er
de
sig
n
ha
s
be
en
see
n
as
t
he
oth
e
r
f
or
m
s
of
m
ul
tim
od
e
res
on
at
ors
(MM
Rs).
MM
R
has
an
eve
n
-
m
od
e
fr
e
quenc
y
and
odd
-
m
ode
freq
ue
ncy
w
hich
can
be
a
na
ly
zed
in
t
he
ci
rcu
it
s.
The
ty
pes
of
MM
R
include
the
rin
g
res
onat
ors
(RLR
),
stub
-
loa
de
d
r
eso
nator
(S
LR
),
ste
ppe
d
-
im
ped
ance
resonato
rs
(SI
R)
an
d
f
ractal
-
s
hap
e
res
onat
or
s
(FSR
)
[
4
-
9].
The
sm
al
l
siz
e
of
a
filt
er
can
be
obta
ine
d
by
r
edu
ci
ng
the size
of
a
r
e
so
na
tor
[1
0].
A
sin
gle
m
ulti
-
m
od
e
res
on
at
or
ca
n
e
xten
d
to
the
m
ulti
ple
m
od
e
resonato
r
filt
ers
w
hic
h
hav
e
a
go
od
perform
ance
and
m
uch
c
om
pact
siz
e.
The
m
ultim
od
e
res
onat
or
ca
n
be
a
na
ly
zed
by
us
in
g
the
eq
uiv
al
ent
ci
rcu
it
wh
ic
h
c
on
ta
i
ns t
wo m
od
es,
w
hich
is
t
he o
dd
-
m
od
e an
d
e
ve
n
-
m
od
e
[5
]
.
In
this
pa
per
,
dual
-
band
band
pass
filt
er
us
in
g
stu
b
-
l
oad
e
d
r
eso
nator
is
desi
gn
e
d
a
nd
c
hara
ct
erized
with
the
operati
ng
frequ
e
ncies
at
2.
4
G
Hz
a
nd
3.6
GH
z
.
T
hese
f
re
qu
e
ncies
ar
e
ch
os
e
n
f
or
t
he
ap
plica
ti
on
of
the
W
i
-
Fi
an
d
WLAN
by
fo
ll
owin
g
the
I
ns
ti
tute
of
Ele
ct
rical
an
d
Ele
ct
ro
nic
E
ngineers
(
IEEE
)
802.1
1
sta
ndar
d.
Bot
h
fr
e
qu
e
ncies a
re
chose
n
as
the
best
fr
e
qu
e
ncy
for
t
his desi
gn
to ac
hieve
a
c
om
pact siz
e that i
s d
e
pe
ndent
on t
he
Evaluation Warning : The document was created with Spire.PDF for Python.
Ind
on
esi
a
n
J
E
le
c Eng &
Co
m
p
Sci
IS
S
N:
25
02
-
4752
Desig
n of c
ompa
ct
m
ulti
-
m
ode m
ic
r
os
tri
p
re
so
nat
or
fi
lt
ers for dual
-
band
applicati
on
(
N
ur
s
hamimi
Rosl
i
)
697
reson
at
or a
nd s
tub
le
ng
t
h.
T
he
ev
e
n
-
m
od
e
res
on
a
nt fre
qu
e
nc
y ca
n
be
con
ve
niently
tun
e
d,
wh
il
e the
od
d
-
m
od
e
resona
nt freq
ue
ncy rem
ai
ns
c
on
sta
nt.
2.
DESCRIPTI
ON OF THE
PROP
OSE
D DESIG
N
Figure
1
s
hows
t
he
pro
pos
ed
st
ub
-
loa
de
d
res
onat
or
(SLR
)
wh
ic
h
co
ns
ist
s
of
a
hal
f
-
wav
el
e
ng
t
h
resonato
r
a
nd
op
e
n
stu
b.
Y
1,
Y
2,
L1
,
a
nd
L
2
represe
nts
th
e
adm
it
ta
nce
and
the
le
ngth
of
the
m
ic
ro
strip
li
nes
.
Tw
o
m
od
es,
odd
-
m
od
e a
nd e
ven
-
m
od
e are
us
e
d
in
ord
e
r
t
o
a
naly
ze the
pro
posed
d
e
sig
n fil
te
r.
(a)
(b)
(c)
Figure
1.
Str
uc
tures o
f du
al
-
ba
nd f
il
te
r
(a) T
he ov
e
rall
lay
out (
b) Od
d
m
od
e
(c)
Eve
n
m
od
e
The
stu
died
de
sign
filt
er
c
on
sist
s
of
tw
o
re
so
na
tor
s
loa
de
d
with
t
he
t
wo
stu
bs
at
t
he
c
enter
of
th
e
resp
ect
ive
m
ic
ro
strip
li
nes.
Si
nc
e
the
stu
b
-
lo
a
ded
re
sonat
or
i
s
sym
m
et
rical
i
n
str
uct
ur
e,
the
odd
-
m
od
e
an
d
even
-
m
od
e resona
nt
fr
e
qu
e
ncy ca
n
be
a
dopted
to
c
har
act
erize
it
.
2
.
1.
O
dd
-
mo
de res
onator
Ther
e
is
a
volt
age
nu
ll
al
ong
the
m
idd
le
of
the
S
LR.
T
he
input
a
dm
itta
nce
or
od
d
-
m
od
e
,
,
is
expresse
d
as:
,
=
1
tan
(
1
2
)
⁄
(1)
wh
e
re t
he
el
ect
ric le
ngth
of th
e m
ic
ro
strip
li
ne
is
1
=
1
.
Since
,
= 0
,
=
(
2
−
1
)
2
1
√
(2)
wh
e
re
n
=
1,
2,
3…
.
I
n
this
pa
per,
n
=
1
is
c
ho
s
en
since
a
higher
val
ue
of
n
will
le
ad
to
the
la
r
ge
siz
e
of
the
filt
er.
T
hu
s
,
n
=1
is
us
e
d
to
m
ai
ntain the
com
pactness o
f
the
desig
n fil
te
r.
2
.
2
.
E
ven
-
mo
de res
onator
At
the
ev
en
-
m
od
e
,
t
her
e
is
no
c
urre
nt
fl
ow
thr
ough
the
s
ymm
et
rical
plane.
The
re
su
lt
of
the
in
pu
t
adm
i
tt
ance f
or
even
-
m
od
e
ca
n be e
xpresse
d as:
,
=
1
2
1
tan
(
1
2
⁄
)
+
2
tan
(
2
)
2
1
−
2
tan
(
1
2
⁄
)
tan
(
2
)
(3)
wh
e
re
2
=
2
is t
he
open st
ub elec
tri
c leng
t
h.
Since
,
= 0
, t
he
e
ven
-
m
od
e resona
nt
fr
e
qu
e
ncy is:
cot
(
1
2
)
tan
(
⁄
2
)
=
−
2
1
2
(4)
Fo
r
the
sp
eci
al
case o
f
2
=
2
1
cot
(
1
2
)
tan
(
⁄
2
)
=
−
1
(5)
Ther
e
f
or
e,
the
resona
nce c
onditi
on
f
or
t
his c
ase is:
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2502
-
4752
Ind
on
esi
a
n
J
E
le
c Eng &
Co
m
p
Sci,
Vo
l.
1
3
, N
o.
2
,
Fe
bru
ary
201
9
:
6
96
–
701
698
1
2
⁄
+
2
=
(6)
or
1
2
⁄
+
=
2
⁄
(7)
wh
e
re
is
the
gu
i
ded
wav
el
e
ng
t
h
at
e
ve
n
-
m
od
e
res
on
a
nc
e.
T
he
fr
e
que
ncy
at
the
e
ve
n
-
m
od
e,
2
can
be
ob
ta
ine
d from
eq
uatio
n (
8)
:
=
(
1
+
2
2
)
√
(8)
To
ve
rify
t
he
a
bove
analy
sis,
fu
ll
-
wav
e
EM
si
m
ulati
on
has
been
ca
rr
ie
d
ou
t.
T
he
dual
-
m
od
e
res
on
at
or
is
desi
gn
e
d
to
achie
ve
t
he
de
sired
res
onan
t
fr
e
quencies
.
The
re
qu
i
red
f
reque
ncy
is
fi
xed
by
the
le
ngth
of
resonato
r,
L
1
a
nd
t
he
e
ve
n
-
m
od
e
res
on
a
nt
frequ
e
ncy
can
be
ac
hieve
d
by
adjustin
g
the
l
eng
t
h
of
the
st
ub,
L
2
.
Tw
o
m
ic
ro
strip
li
ne
with
50
Ω
cha
racteri
sti
c
i
m
ped
a
nce
is
util
iz
ed
to
fee
d
the
pr
opos
e
d
S
LR
filt
er
us
in
g
a
loos
e
couplin
g.
The
l
eng
t
h
of
the
L
1
is
fi
xed
at
35.
3
m
m
,
wh
il
e
L
2
is
va
ried
f
rom
1
m
m
to
7
m
m
as
sh
ow
n
i
n
Fi
gure
2.
The
v
al
ue of
5
.
8
m
m
is chosen
as
the
best
stub l
en
gth
for t
his d
esi
gn and
labele
d wit
h a
blu
e c
olor.
As
can
be
see
n
in
Figure
2,
t
he
stub
-
le
ngth
does
not
af
fect
the
S
21
res
pons
e
at
an
odd
-
m
ode
fr
e
qu
e
ncy
at
2.4
GHz,
w
her
eas
the
eve
n
-
m
od
e
fr
e
que
ncy
can
be
s
hifted
by
c
on
t
ro
l
li
ng
th
e
value
of
L
2
.
T
he
higher
th
e
value o
f
L
2
,
the
low
e
r
t
he valu
e of
.
Figure
2
.
Sim
ulate
d
pa
ram
et
e
r
wit
h diff
e
ren
t
stu
b
le
ngth
3.
DUAL
-
B
AND
FILT
ER
DE
SIGN
Ba
sed
on
pr
opos
e
d
SLR,
a
dual
-
ba
nd
ba
ndpa
ss
filt
er
w
hich
has
a
be
ne
fit
of
com
pact
siz
e
i
s
desig
ne
d.
The
co
nf
i
gurat
ion
of
the
filt
er
w
hich
c
onsist
s
of
tw
o
f
old
e
d
SLRs
is
sho
w
n
i
n
Fig
ur
e
3
wh
il
e
Fig
ur
e
4
s
hows
the
fa
br
ic
at
e
d
dual
-
band
filt
er.
The
R
og
e
rs
R
O40
03
C
is
us
e
d
as
t
he
s
ubstra
te
for
this
desi
gn
wh
ic
h
has
a
r
el
at
ive
diele
ct
ric
co
nst
ant,
of
3.3
8,
a
thic
kness
of
0.508
m
m
a
nd
the
dissi
pat
ion
facto
r,
tan
of
0.0
027.
T
he
dim
ension
s
of
the pr
opos
e
d fil
te
r
are s
how
n i
n
Ta
ble 1.
Table
1.
Dim
e
ns
io
ns
of
the
F
il
te
r
Para
m
eters
Valu
e (
m
m
)
Leng
th
of
r
eso
n
ato
r,
L
1
3
5
.3
Leng
th
of
stu
b
,
L
2
5
.8
W
id
th
of
r
eso
n
ato
r,
W
1
0
.9
W
id
th
of
stu
b
,
W
2
1
.8
Distan
ce,
d
0
.6
Gap
,
S
1
an
d
S
2
0
.3
Accor
ding t
o
e
xpressi
on (1
)
t
o (
8)
,
the
len
gt
h o
f
t
he res
on
a
tor
and
stu
b
ca
n be
obtai
ne
d wh
e
re
f
is t
he
center
f
re
qu
e
nc
y
of
the
filt
er
and
c
is
t
he
s
pe
ed
of
li
ght.
T
he
ef
fecti
ve
diele
ct
ric
con
sta
nt,
and
rati
o
W
/
d
is cal
culat
ed fr
om
the f
ollo
wi
ng
ex
pressi
on.
Evaluation Warning : The document was created with Spire.PDF for Python.
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on
esi
a
n
J
E
le
c Eng &
Co
m
p
Sci
IS
S
N:
25
02
-
4752
Desig
n of c
ompa
ct
m
ulti
-
m
ode m
ic
r
os
tri
p
re
so
nat
or
fi
lt
ers for dual
-
band
applicati
on
(
N
ur
s
hamimi
Rosl
i
)
699
=
+
1
2
+
−
1
2
(
1
+
12
)
−
1
2
(9)
=
8
2
(10)
The
sim
ulatio
n
is
done
by
us
i
ng
the
EM
sim
ulati
on
in
the
ADS
s
of
t
war
e
and
m
easur
ed
with
t
he
PNA
n
et
w
ork A
naly
zer, res
pecti
vely
.
Figure
3
.
Lay
out o
f d
ual
-
ba
nd
f
il
te
r
Figure
4
.
Fa
br
i
cat
ed
dual
-
ba
nd
filt
er
4.
RESU
LT
S
Figure
5
an
d
6
il
lustrate
s
th
e
si
m
ulate
d
an
d
m
easur
ed
r
esul
t
of
the
S
-
pa
ra
m
et
ers
res
pecti
vely
to
th
e
stud
ie
d
du
al
-
ba
nd
ba
ndpa
ss fi
lt
er
wh
ic
h
op
e
rated
at
t
wo
ce
ntral
f
re
qu
e
nci
es, 2
.
4
GH
z
,
a
nd
3.6
G
Hz.
B
ased on
the
sim
ulate
d
r
esult,
it
sho
ws
that
the
bo
t
h
fr
equ
e
ncy
is
l
oc
at
ed
at
the
2.4
GH
z
an
d
3.6
G
Hz
r
especti
vel
y
with
a sm
all f
reque
ncy s
hifting i
s
ob
s
er
ved.
Fr
om
the
cal
c
ulati
on
,
it
can
be
analy
zed
t
hat
the
guide
d
wa
velen
gth,
as
hi
gh
li
ghte
d
bel
ow
is
dep
e
ndin
g
on
the
valu
e
of
diele
ct
ric
co
ns
ta
nt
of
the
s
ubstrat
e
.
Me
a
nwhile
,
t
he
valu
e
of
t
he
relat
ive
per
m
it
t
ivit
y,
will
aff
ect
the
eff
ect
ive
d
ie
le
c
tric
constant.
=
√
(11)
Con
sist
e
nt w
it
h
the
desi
gn
filt
er,
the
obser
ve
d
f
racti
onal
b
a
ndwidt
h of
m
easur
e
d res
ult i
s 8
% a
nd 6%
wh
il
e
the
sim
u
la
te
d
fr
act
io
nal
band
widt
h
is 7%
a
nd
5
%
.
T
he
re
flect
ion
c
oeffici
ent,
S
11
i
s
decr
e
ased
c
om
par
ed
to
the
sim
ulated
res
ult
w
hich
is
-
11.
94
dB
and
-
14.51
dB.
The
re
are
t
wo
transm
issi
on
zero
es
at
the
s
eco
nd
fr
e
qu
e
ncy
of
s
i
m
ulate
d
resu
l
t
com
par
ed
to
no
tran
sm
issi
on
z
er
oes
at
t
he
m
easur
ed
r
esult.
T
he
re
flect
ion
coeffic
ie
nt
f
or
the
seco
nd
frequ
e
ncy
of
si
m
ula
te
d
resu
lt
is
decr
ease
d
from
-
25
.
47
dB
to
-
26.
99
dB
.
The
ref
le
ct
io
n
c
oeff
ic
ie
nt p
er
f
or
m
a
nce
of both
r
es
ults is sat
isfie
d.
Figure
5
.
Sim
ulate
d
an
d
m
easur
e
d
S
11
pa
ram
et
ers
of
dual
-
ba
nd f
il
te
r
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2502
-
4752
Ind
on
esi
a
n
J
E
le
c Eng &
Co
m
p
Sci,
Vo
l.
1
3
, N
o.
2
,
Fe
bru
ary
201
9
:
6
96
–
701
700
Nex
t,
t
he
tra
nsm
issi
on
coe
ff
i
ci
ents,
S
21
of
sim
ula
te
d
and
m
easur
e
d
resu
lt
s
are
il
lustrate
d
in
Fig
ur
e
6.
The
sim
ulate
d
transm
issi
on
c
oeffici
ent
at
th
e
first
fr
e
quenc
y
is
-
1
dB
an
d
-
1.2
4
dB
wh
il
e
the
m
easur
e
d
resu
lt
has
tr
a
ns
m
issio
n
co
ef
fici
ent
at
-
1.4
5
dB
a
nd
-
1.9
6
dB.
T
he
tran
sm
issi
on
coeffic
ie
nt
in
t
he
m
easur
e
d
r
esult
is
decr
ease
d
with
0.4
5
dB.
T
he
m
easur
ed
tra
nsm
issi
on
c
oeffici
ent
is degra
de
d
c
om
par
ed
to
t
he
sim
ulate
d
res
ult
s
because
of
t
he fab
ricat
ion t
ole
ran
ces
.
Figure
6
.
Sim
ulate
d
an
d
m
easur
e
d S
21
pa
ram
et
ers
of
dual
-
ba
nd f
il
te
r
The
ba
ndwi
dth
f
or
the
sim
ulate
d
resu
lt
at
2.4
G
Hz
a
nd
3.6
G
Hz
is
170
MHz
a
nd
187
MHz
a
nd
t
he
band
width
for
the m
easur
e
d r
esult at
is
200
MHz a
nd
225
MHz.
The si
m
ulate
d f
racti
onal
b
a
ndwi
d
th
is
0.07
at
the
first
fr
e
qu
ency
an
d
0.05
at
the
seco
nd
fr
e
quency.
T
he
m
easur
ed
f
racti
on
al
ba
ndwidth
f
or
odd
-
m
od
e
fr
e
qu
e
ncy
is
0.
08
a
nd
0.06
at
the
e
ven
-
m
od
e
f
reque
ncy
wh
i
ch
is
sec
ond
f
r
equ
e
ncy.
N
ote
that
the
eve
n
-
m
od
e,
is
c
on
t
ro
ll
ed
by
var
yi
ng
t
he
value
of
t
he st
ub
le
ng
t
h,
L
2
whil
e
the
odd
-
m
od
e,
can
be
dom
inate
d b
y
var
yi
ng t
he
re
s
on
at
or len
gth
,
L
1
w
hich
can
be cal
culat
ed fr
om
ex
pr
es
sio
n (2).
5.
CONCL
US
I
O
N
In
t
his
pa
per,
a
m
ulti
-
m
od
e
te
chn
i
qu
e
t
o
obt
ai
n
dual
-
band
f
il
te
r,
SLR
is
propose
d.
T
he
prop
e
rtie
s
of
the
SLR
are
obta
ined
by
sim
ulati
on
analy
si
s
in
the
A
DS
s
of
t
war
e
an
d
ve
rified
ex
pe
rim
ental
ly
by
fa
br
ic
at
ing
and
m
easur
in
g
the
S
-
pa
ram
et
e
rs
of
the
pr
oto
t
ype.
Be
si
des
ha
ving
a
n
a
dvant
age
on
it
s
c
om
pact
siz
e,
the
re
s
on
a
nt
fr
e
qu
e
ncy
of
e
ven
-
m
od
e
ca
n
be
c
ontrolle
d
by
var
yi
ng
the
le
ng
t
h
of
stu
b
w
hi
le
the
od
d
-
m
od
e
res
on
a
nt
fr
e
qu
e
ncy
is ke
pt constan
t. Th
e
m
easur
ed results
wer
e
agr
ee
d well
w
i
th the si
m
ulated
resu
lt
.
ACKN
OWLE
DGE
MENTS
The
aut
hor
w
ould
li
ke
to
ac
kno
wled
ge
the
su
pp
or
t
f
ro
m
the
Fun
dam
ental
Re
searc
h
G
r
ant
S
chem
e
(F
RG
S)
unde
r
a
gr
a
nt
num
ber
of
FR
GS
/1/
2015
/T
K
04
/
UNI
MAP/0
2/16
f
rom
the
Mi
nistry
of
Higher
E
du
cat
io
n
Ma
la
ysi
a
.
REFERE
NCE
S
[1]
David
M.
Pozar
,
(2011), Mic
row
ave
Engi
ne
eri
ng
,
4th Edi
t
ion, John Wil
e
y
&
Sons
,
Inc
US
A.
[2]
R.
A.
Rah
im,
et
al.
,
"M
ic
rostrip
dual
-
band
b
and
pass
fil
te
r
for
I
SM
band
appl
icati
ons,"
2015
I
E
EE
Int
ernati
ona
l
Confe
renc
e
on
C
ontrol
Syst
em,
C
omputing
and
E
ngine
ering
(
ICCSCE)
,
George
T
own,
2015,
pp.
2
81
-
286.
[3]
H.
-
Y
Ani
ta
Yi
m
.
et
al
.
,
"A
N
ew
S
y
n
the
sis
M
et
h
od
fo
r
Dua
l
-
Band
Microw
av
e
Fil
te
r
Design
with
Contro
ll
ab
l
e
Bandwidt
h,
"
200
7
Asia
-
Pa
ci
f
ic M
ic
rowave
Confe
r
enc
e
,
B
angkok,
2007,
pp
.
1
-
4.
[4]
M.
Pal
and
R
.
G
hat
ak
,
"A
Distin
ct
iv
e
Resonan
ce:
Multi
b
and
B
an
dpass
Filt
er
Desi
gn
Techni
ques
Us
ing
Multi
m
ode
Resonat
ors,"
I
E
EE
M
ic
rowav
e Magazine
,
vo
l. 1
6,
no
.
11
,
pp
.
36
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55,
De
c. 2015.
[5]
X.
Y.
Zha
ng,
e
t
al.
,
"D
ual
-
Band
Bandpa
ss
Filt
ers
Us
ing
Stub
-
Loaded
Resona
tors,
"
IEE
E
Mi
crowave
and
Wireless
Components
Letters
,
vol
.
17
,
no
.
8,
pp
.
583
-
585
,
Aug.
2007.
[6]
P.
Sarka
r,
et
al
.
,
"A
Plana
r
Com
pac
t
Du
al
-
Band
B
andpa
ss
Filt
er
Us
ing
Steppe
d
Im
peda
nc
e
Resona
t
or
and
Int
erd
ig
ital
Capa
c
it
or, "
In
t.
J.
M
ic
row.
Wire
l
.
Techno
l.,
vo
l. 3
,
no
.
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,
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674,
2011
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[7]
J.
Z
.
Ch
en,
e
t
a
l.
,
"
Fourth
-
orde
r
Tri
-
band
Bandp
ass
Filt
er
Us
ing
Square
Ring
Lo
ade
d
Resonat
ors
,
"
Elec
tron.
Le
tt.
,
vol.
47
,
no
.
15
,
p
p.
858
-
U1942,
2
011.
Evaluation Warning : The document was created with Spire.PDF for Python.
Ind
on
esi
a
n
J
E
le
c Eng &
Co
m
p
Sci
IS
S
N:
25
02
-
4752
Desig
n of c
ompa
ct
m
ulti
-
m
ode m
ic
r
os
tri
p
re
so
nat
or
fi
lt
ers for dual
-
band
applicati
on
(
N
ur
s
hamimi
Rosl
i
)
701
[8]
S.
Nee
thu
and
S.
S.
Kum
ar,
"M
i
cro
strip
Bandpa
s
s
Filt
er
Us
ing
Frac
t
al
-
Based
Hex
agona
l
Loop
Re
sonator,
"
Proc.
-
2014
4th
In
t. Co
nf.
Adv.
Comput
.
Comm
un.
ICAC
C
2014
,
pp
.
319
–
322,
2014
.
[9]
M.
Mabrouk
an
d
L.
Bousbia
,
"
Stud
y
and
Enhance
d
D
esign
of
RF
Dual
Band
Bandpa
ss
Fi
lt
e
r
Vali
d
ation
an
d
Confirmati
o
n
of
Expe
riment
al Mea
surem
ent
s,
"
C
i
rcuit
and
Syst
ems
,
vol.
2,
pp.
293
-
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2011
.
[10]
K.
Ma
,
et
al
.
,
"
A
Com
pac
t
Multi
m
ode
Bandp
ass
Filt
er
W
it
h
Ext
en
d
ed
Stop
band
Bandwidth
,
"
Progress
in
El
e
ct
rom
agnet
i
c
s R
ese
arch
Lette
rs
,
vol. 32, pp. 1
77
–
186,
2012
.
BIOGR
AP
HI
ES OF
A
UTH
ORS
Nurs
hamim
i
Ros
li
r
ec
e
ive
d
his B
ac
he
lor
of
Engi
n
ee
ring
(Com
m
un
ic
a
ti
on
Engi
ne
er
ing)
from
Univer
siti
Malays
ia
Perl
is (
UniMA
P),
Malay
si
a, in 2017. Her
r
ese
arc
h
int
e
rests
in
c
lude
m
ic
rowave
in
te
g
rat
ed
circui
ts.
Siti
Am
ina
h
Md
Akhir
recei
v
ed
h
is Ba
ch
el
or
of E
ngine
er
ing
(Com
m
unic
at
ion
Enginee
ring)
from
Univer
siti
Malay
s
ia Perl
is
(
UniMA
P),
Malay
sia
,
in
2017
.
H
er
rese
arc
h
intere
sts inc
lud
e
m
ic
rowave
in
te
g
rat
ed
circui
ts.
Ts.
Dr.
S. Z.
Ibr
ahi
m
was born i
n
Li
m
bang, Sar
a
wak,
Mal
a
y
sia
i
n
1981.
She
has
a
Ba
che
lo
r
of
Engi
n
ee
rin
g
i
n
Telec
om
m
unicati
on
from
the Unive
rsit
y
of
Ma
l
a
y
a, Ma
l
a
y
s
ia i
n
2004
and
Master
of
Engi
n
ee
ring
from
Uni
ver
sit
y
Te
chn
olo
g
y
of
Mal
a
y
sia
i
n
2008.
She
r
ec
e
ive
d
h
er
PhD
degr
ee
s fro
m
Univer
sit
y
of
Quee
nsland
Au
s
tra
lia
in
2012
.
S
he
is
cur
ren
tly
w
orking
as
a
senior
l
ec
tur
er in
the School
of
C
om
pute
r
and
Co
m
m
unic
at
ion
En
gine
er
ing
a
t
Uni
ver
siti
Malay
s
ia Perl
is
,
Malay
s
ia.
Mos
t of he
r
rese
a
rch
i
nte
rest
is r
el
a
te
d
to
m
ic
rowave
co
m
ponent
s
and
i
ts a
ppl
ication.
Nur Bay
a
Mohd
Hashim
is a
Lect
ure
r
a
t the
Schoo
l
of
Com
pute
r
an
d
Com
m
unic
at
io
n
Engi
ne
eri
ng
,
Un
ive
rsiti Mal
a
y
s
ia Perl
is (
UniMA
P),
Mal
a
y
s
ia.
She
rec
e
ive
d
h
er
B.
E
ng.
(Com
pute
r
and
Com
m
unic
at
ion Engi
ne
eri
ng
) (H
ons.)
from
Univ
ersit
i
Keba
ngsa
a
n
Malay
si
a
(UK
M)
, M
al
a
y
si
a
and
her
M.
Sc
.
(
El
e
ct
roni
c
S
y
s
t
em Design
Eng
i
nee
ring
)
,
from
U
nive
rsiti
Sains Ma
lay
si
a
(
U
SM)
.
Her
rese
a
rch
in
te
r
ests
incl
ude
an
te
nn
a
and
propa
gation,
m
icrow
ave
components,
wir
el
ess a
nd
m
obil
e
comm
unic
at
ion
s
.
Nureha
nsafwanah
Khali
d
was bo
rn
on
D
e
ce
m
ber
6,
1993
in
Johor
Bahru,
Ma
lay
si
a
.
She
rec
e
ive
d
her
B.
Eng
degr
ee i
n
C
om
m
unic
at
ion
E
ngine
er
ing
from
Univer
sit
y
Ma
lay
sia
Perl
is
in
Octob
er
2016
.
She
obt
ai
n
ed
M
.
Sc.
with the
sa
m
e
cour
se
and
s
ame
insti
tut
ion
i
n
2018.
Her
rese
arc
h
in
te
rest
s in
Rad
io
Fre
qu
ency
and
Mi
cro
wave
Eng
ineeri
n
g
.
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