Comparative Study of Passive Intermodulation
Distortion in Wilkinson Power Dividers/Combiners
and Branch Line Couplers
Eslam N. Mohamed Ayman G. Sobih Ayman M. El-Tager
Electronic Eng. Dpt., Electronic Eng. Dpt., Electronic Eng. Dpt.,
MTC, Cairo, Egypt. MTC, Cairo, Egypt. MTC, Cairo, Egypt.
Eslamnasr388@gmail.com Ayman_sobih@yahoo.co.uk prof.ayman.eltager@ieee.org
Abstract—Passive intermodulation distortion manifests itself as a
nonlinear mixing product in passive devices. The nonlinearity in
microstrip lines (MSL) has a distributed nature and can be
associated with the dielectric substrate and/or the printed
conductor. In this paper, the nonlinearity modeling of uniform
microstrip line is discussed. It is partitioned into short segments;
each described by its equivalent RLCG circuit, and has been
analysed using Harmonic Balance nonlinear simulation to
evaluate PIM (passive intermodulation) effect of the microstrip
line for different lengths and widths. The proposed PIM MSL
model is compared to Shitvov's model and recent reported
measurements, and verified using X-parameter simulation. The
generalized PIM MSL model is applied in device level such as
Wilkinson power divider (WPD) and branch line coupler to
predict the PIM effect of each. Finally, a comparison between
conventional WPD, inductive loaded WPD and branch line
coupler, is conducted based on the introduced MSL model.
Keywords- nonlinear distortion, passive intermodulation
distrotion, nonlinear model of microstrip line, power divider,
coupler, PIM3, X-parameter simulation.
I. INTRODUCTION
PIM is known for its drawback effect on the performance of
base stations used in the space, military and civil
telecommunications [1-2]. The major disadvantages of PIM
are: raising the noise floor, increasing the bit error rate,
reducing the coverage area and blocking the receiver. PIM
products resulting from nonlinear frequency mixing in passive
devices usually occur in the reception band of the system.
PIM is initially discovered as a product of nonlinear mixing
on rusty metallic contacts [3-4]. A PIM phenomenon is further
observed in ferrite circulators [5], waveguide and cable joints
[6], duplexers [7], attenuators [8] and antennas [9]. PIM is
usually confined in contact phenomena such as tunneling,
thermionic emission and fritting, and non-contact phenomena
such as ferromagnetic, thermal ionization and field emission.
Recently, the electro-thermal theory of PIM in antennas is
studied in [10].
On the other hand, the PIM effect in printed MSL is studied
in [11]. Furthermore, the telegraph equation is solved to build a
PIM theoretical model in [12].
In this paper, a unit cell of nonlinear microstrip line
(NLMSL) model of 50-Ω MSL has been verified with the
theoretical model in [12]. Then a generalized model for
different widths and lengths has been produced and applied
in different devices such as Wilkinson power
dividers/combiners and branch line couplers to predict their
PIM performance. Moreover, X-parameter simulation is
used to verify the proposed NLMSL model which is utilized
in Wilkinson power dividers and branch line couplers.
II. THEORTICAL BACKGROUND
The origin of PIM nonlinearity could be from one of two
sources; namely, microstrip conductor line and substrate
dielectric material [13]. Therefore, one or more of the model
elements shown in Fig. 1 should be nonlinear.
Figure 1. Nonlinear model of an infinitesimal length of a MSL [14].
Moreover, the nonlinearity in microstrip line is modelled by
adding nonlinear parameter R
2
to the linear resistance, and the
nonlinear resistance can be expressed as:
2
0 2
() RI R RI (1)
Where R
0
is the linear resistance and R
2
is the nonlinear
coefficient. The linear resistance in telegraph equation is
replaced by R (I) in equation (1).
Assuming complete matching at input and output ports, the
telegraph equations can be solved to obtain the third order
intermodulation distortion current as follows [12]:
2, 1 1,0 0, 1
2, 1
( X) ( (2 )X)
2, 1,1
( (2 x) 2 )
I X (1 )e e
e
l l
J J J
J D
[ Q [
[Q
(2)
57
2018 International Conference on High Performance Computing & Simulation
978-1-5386-7879-4/18/$31.00 ©2018 IEEE
DOI 10.1109/HPCS.2018.00024