I. INTRODUCTION
In satellite communication systems, it is generally required that high-power multi-channel transmitters and super-sensitive broadband receivers be packed in a limited space. Because of the very large power level difference between transmit and receive signals and the limitation of frequency allocation, intermodulation (IM) interference due to passive residual nonlinearities in the high-power transmission path can be a real problem. The passive intermodulation products (PIMP) that fall into the receiving band will seriously degrade system performance [Reference Shitvov, Schuchinsky, Steer and Wetherington1, Reference Bolli, Selleri and Pelosi2]. With the rapid development of communication technology and the extensive application of passive microwave devices, the passive intermodulation (PIM) gradually becomes more and more valued [Reference Lui3].
PIM distortion is caused by the inherent nonlinearity of microwave devices, which mainly involves contact nonlinearity and material nonlinearity [Reference Rezvanian, Zikry, Brown and Krim4]. Material nonlinearity mainly depends on the inherent nonlinear properties of materials with nonlinear conductive properties, such as ferromagnetic materials. Contact nonlinearity mainly depends on the contact form, temperature, vibration, and creep factors [Reference Bond, Guenzer and Carosella5]. These factors are very complex, and all of them greatly influence PIM power levels.
Because of the complexity of PIM generation mechanism, many efforts focused on the effective analysis method for PIM. Brad and Rick [Reference Brad and Rick6] first put forward the concept of point-source model, by which the transmission characteristics of coaxial cables were equivalent to the transfer functions. Jargon et al. [Reference Jargon, Degroot and Reed7] proposed a PIM model for passive components in wireless base station based on s-parameters, which was a point-source model deduced from s-parameters. These models ignore many factors such as electric length, torque, and equipment noise, and cannot apply into the cascaded system.
In the microwave system, a large number of microwave devices are cascaded. There exist few researches about PIM of the cascaded system. Microwave connector is one of PIM sources. Although the linear properties of connectors have been well known [Reference Timsit8], the contribution of their nonlinear characteristics to PIM is rarely introduced. Henrie et al. [Reference Henrie, Christianson and Chappell9, Reference Henrie, Christianson and Chappell10] had carried out the more thorough research to PIM caused by the metal–metal contact in microwave connectors, and simply analyzed PIM of the cascaded connectors, and concluded several ways to reduce PIM. Kozlov et al. [Reference Kozlov, Shitvov and Schuchinsky11] built the equivalent circuit model based on the x-parameters and analyzed the nonlinearity of transmission lines, and the accuracy of the established model was verified by the adjacent channel power ratio and error vector magnitude. They [Reference Kozlov, Shitvov and Schuchinsky12] also tested the total nonlinearity of the cascaded distributed printed circuits, and studied the impacts of transmission line length and nonlinear capacitance on PIM. Zhao et al. [Reference Zhao, Zhang, Yang and Hu13] improved the point-source model by considering the effects of the length and loss of cables on PIM. The existing researches played a role in promoting PIM analysis of the cascaded system. This paper considers comprehensively the above-mentioned factors and puts forward a better PIM model of the cascaded microwave devices. The relationship of PIM between a single microwave device and the cascaded system is revealed for the convenience of engineering calculation.
An effective calculation method is proposed for predicting PIM power levels of the cascaded microwave devices in this work. In Section II, the analytical formula of IM voltage is derived. The point-source model is constructed and extended to the cascaded microwave devices. In Section III, the corresponding experiments are designed to verify the accuracy of the point-source model and the cascaded model. Section IV concludes and discusses the research work.
II. PIM MODEL OF CASCADED MICROWAVE DEVICES
A) IM voltage
Nonlinear devices do not obey Ohm's law, and the nonlinear current–voltage follows the power series [Reference Henrie, Christianson and Chappell10, Reference Jiang, Li and Liu14, Reference Sui, Christensen and Durney15].
$$I = f(V) = \sum\limits_{n = 1}^m {a_n V^n}, $$
where V is the voltage across the nonlinear device, I is the current through the nonlinear device, a n (n = 1, 2, …, m) are the coefficients of the power series, and a 3/a 1 represents the degree of third-order PIMP.
For the two carriers, we have
$$\eqalign{V &= V_1 \cos \omega _1 t + V_2 \cos \omega _2 t \cr & = \displaystyle{1 \over 2}V_1 (e^{\,j\omega _1 t} + e^{ - j\omega _1 t} ) + \displaystyle{1 \over 2}V_2 (e^{\,j\omega _2 t} + e^{ - j\omega _2 t} ) \cr &= \displaystyle{1 \over 2}(V_1 e^{\,j\omega _1 t} + V_2 e^{\,j\omega _2 t} ) + \displaystyle{1 \over 2}(V_1 e^{ - j\omega _2 t} + V_2 e^{ - j\omega _2 t} ) \cr & = \displaystyle{1 \over 2}(E + E^*),}$$
where E = V 1 e jω 1 t + V 2 e jω 2 t , E* is the conjugate of E.
The binomial expansion of V n is
$$\eqalign{& V^n = \displaystyle{1 \over {2^n}} (E + E^*)^n = \displaystyle{1 \over {2^n}} \sum\limits_{M_0 = 0}^n {\displaystyle{{n!} \over {M_0 !(n - M_0 )!}}} E^{n - M_0} (E^*)^{M_0},} $$
where M 0 is the binomial variable.
The odd-order PIMP is considered because they have interference to system [Reference Eng and Stern16]. According to the binomial symmetry, equation (3) can be rewritten as
$$V^n = \displaystyle{1 \over {2^n}} \left[ {2{\mathop{\rm Re}\nolimits} \sum\limits_{M_0 = 0}^{(n - 1/2)} {\displaystyle{{n!} \over {M_0 !(n - M_0 )!}}} E^{n - M_0} (E^*)^{M_0}} \right].$$
At the same way, the binomial expansions of E n−M 0 and (E*) M 0 are
$$\eqalign{E^{n - M_0} &= (V_1 e^{\,j\omega _1 t} + V_2 e^{\,j\omega _2 t} )^{n - M_0} \cr &= \sum\limits_{M_1 = 0}^{n - M_0} {\displaystyle{{(n - M_0 )!} \over {M_1 !(n - M_0 - M_1 )!}}} V_1 ^{n - M_0 - M_1} V_2 ^{M_1} \cr & \quad\times \exp [j((n - M_0 - M_1 )\omega _1 + M_1 \omega _2 )t],} $$
$$\eqalign{(E^*)^{M_0} &= (V_1 e^{ - j\omega _1 t} + V_2 e^{ - j\omega _2 t} )^{M_0} \cr &= \sum\limits_{M_2 = 0}^{M_0} {\displaystyle{{M_0 !} \over {M_2 !(M_0 - M_2 )!}}} V_1 ^{M_0 - M_2} V_2 ^{M_2} \cr & \quad\times \exp [ - j((M_0 - M_2 )\omega _1 + M_2 \omega _2 )t],} $$
where M 1 and M 2 are the binomial variables.
Substituting equations (5) and (6) into (4), the expression of V n including all frequency components is obtained as follows:
$$\eqalign{V^n &= \displaystyle{1 \over {2^n}} {\mathop{\rm Re}\nolimits} \sum\limits_{M_0 = 0}^{(n - 1/2)} {\displaystyle{{n!} \over {M_0 !(n - M_0 )!}}} \cr & \quad\times \sum\limits_{M_1 = 0}^{n - M_0} {\displaystyle{{(n - M_0 )!} \over {M_1 !(n - M_0 - M_1 )!}}} V_1 ^{n - M_0 - M_1} V_2 ^{M_1} \cr & \quad\times \exp [j((n - M_0 - M_1 )\omega _1 + M_1 \omega _2 )t] \cr & \quad\times \sum\limits_{M_2 = 0}^{M_0} {\displaystyle{{M_0 !} \over {M_2 !(M_0 - M_2 )!}}} V_1 ^{M_0 - M_2} V_2 ^{M_2} \cr & \quad\times \exp [ - j((M_0 - M_2 )\omega _1 + M_2 \omega _2 )t].} $$
The above formula can be simplified as
$$\eqalign{V^n &= \displaystyle{{n!} \over {2^n}} \sum\limits_{M_0 = 0}^{(n - 1/2)} {\sum\limits_{M_1 = 0}^{n - M_0} {\sum\limits_{M_2 = 0}^{M_0} {}}} \displaystyle{{V_1 ^{n - M_1 - M_2} V_2 ^{M_1 + M_2}} \over {M_1 !M_2 !(n - M_0 - M_1 )!(M_0 - M_2 )!}} \cr & \quad\times \cos [(n - 2M_0 - M_1 + M_2 )\omega _1 + (M_1 - M_2 )\omega _2 ]t.} $$
The frequency of PIMP is a linear combination of carrier frequencies, that is
where Q and R are the arbitrary integers.
From equations (8) and (9), there are
From equations (10) and (11), we have
Substituting equations (11) and (12) into (8), we get
$$\eqalign{ V^n &= \displaystyle{{n!} \over {2^n}} \sum\limits_{M_2 = 0}^{(n - Q - R/2)} {} \displaystyle{{V_1 ^{n - R - 2M_2} V_2 ^{R + 2M_2}} \over \matrix{(R + M_2 )!M_2 !(n - (n - Q - 3R/2) \hfill \cr - M_2 )!((n - Q - R/2) - M_2 )! \hfill}} \cos [Q\omega _1 + R\omega _2 ]t.} $$
According to the relationship between power and voltage,
$$P = 10\log _{10} \left( {\displaystyle{{V^2} \over {2Z_0}}} \right) + 30,$$
we can derive the input voltage for the input power, where Z 0 is the characteristic impedance.
From equation (1), we derive the analytic expression of the nth-order IM voltage as follows.
Substituting equations (13) and (14) into (15), we can obtain the nth-order IM voltage.
B) PIM model of cascaded system
1) GENERAL MODEL
In the actual measurement, besides PIM source of microwave device under test (DUT), there are two kinds of unwanted PIM sources existing in the measurement result. One is the residual IM of measurement system, and the other is the self-interference of IM signal resulting from reflection [Reference Hienonen and Raisanen17]. Thus, the microwave network model of the cascaded system is established, as shown in Fig. 1, each DUT is regarded as a point resource.
Microwave network model of the cascaded system.

The IM distortion results from the voltage waves caused by the nonlinearities of DUT. In Fig. 1,
$V_{IM}^k $
,
$V_{IM}^{k +}, $
and
$V_{IM}^{k -} $
represent the IM voltage, forward-propagating IM voltage and reverse-propagating (reflected) IM voltage of the kth (k = 1, 2, …, N) DUT (point source), respectively. N is the number of DUTs. The electrical length l
c0 is the distance from the first nonlinear DUT to the instrument port. The electrical length l
ck
is the distance between two DUTs. The electrical length l
l
is the distance from the last nonlinear DUT to the low IM load, Z
L
. Z
0 is the characteristic impedance. Γ is the reflection coefficient. V
f
and V
l
represent the IM voltages of instrument and load, respectively.
Assuming all PIM sources have not secondary reflection, when N = 1, the forward-propagating IM voltage is
If the reflected PIM measurement method is adopted, then the phase difference of signal through cable should be considered. So the reflected IM voltage is [Reference Brad and Rick6]
where β is the propagation constant.
With this in mind, the reflected IM voltage, V −, at the receiver, as shown in Fig. 1, is expressed as
$$\eqalign{ V^ - &= V_f + V_{IM}^1 \exp [2j\beta l_{c0} ] + V_l \exp [2j\beta (l_{c0} + l_l )] \cr & \quad + \Gamma (V_f + V_{IM}^{1 +} + V_l )\exp [2j\beta (l_{c0} + l_l )].} $$
When the several DUTs are cascaded [Reference Brad and Rick6], the IM voltage can be described as
$$V_{IMc}^ + = \sum\limits_{k = 1}^N {V_{IM}^k}, $$
$$V_{IMc}^ - = \sum\limits_{k = 1}^N {V_{IM}^k} \exp \left[ {2j\beta \left( {\sum\limits_{s = 1}^k {l_{c(s - 1)}}} \right)} \right],$$
where
$V_{IMc}^ + $
is the total forward-propagating IM voltage,
$V_{IMc}^ - $
is the total reverse-propagating IM voltage.
Equation (18) can be rewritten as
$$\eqalign{V^ - &= V_f + \sum\limits_{k = 1}^N {\left[ {V_{IM}^k \exp (2j\beta \left( {\sum\limits_{s = 1}^k {l_{c(s - 1)}}} \right)} \right]} \cr & \quad + V_l \exp \left[ {2j\beta \left( {\sum\limits_{k = 1}^N {l_{c(k - 1)}} + l_l} \right)} \right] \cr & \quad+ \Gamma \left( {V_f + \sum\limits_{k = 1}^N {V_{IM}^k} + V_l} \right)\exp \left[ {2j\beta \left( {\sum\limits_{k = 1}^N {l_{c(k - 1)}} + l_l} \right)} \right].} $$
Because a n ≪ a 1 (n >1) in the nonlinear I–V characteristics, the impedance of point source of the kth DUT can be simplified as
where V k and I k are the voltage and current of the kth DUT, respectively.
According to the relation between power and voltage, we derive the PIM power level as follows:
$$P_{IM} = \displaystyle{{(V^ - )^2} \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}}. $$
Substituting equations (21) and (22) into (23), we can obtain the analytic expression of PIM power level of the cascaded system.
In order to further study PIM relationship between a single DUT and the cascaded system, equation (23) can be expanded as
$$\eqalign{P_{IM} & = \displaystyle{1 \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}} \left( {V_f + \sum\limits_{k = 1}^N {\left( {V_{IM}^k \exp (2j\beta \left( {\sum\limits_{s = 1}^k {l_{c(s - 1)}}} \right)} \right)}} \right) \cr & \quad + V_l \exp \left( {2j\beta \left( {\sum\limits_{k = 1}^N {l_{c(k - 1)}} + l_l} \right)} \right) \cr & \quad+ \Gamma \left( {V_f + \sum\limits_{k = 1}^N {V_{IM}^k} + V_l} \right)\exp \left( {2j\beta \left( {\sum\limits_{k = 1}^N {l_{c(k - 1)}} + l_l} \right)} \right)^2 \cr & = \displaystyle{1 \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}} \left( {C_f^2 (V_f )^2 +\sum\limits_{k = 1}^N {C_k^2 (V_{IM}^k )^2} + C_l^2 (V_l )^2 + \Delta V^2} \right),} $$
where, C f and C l are the parameters of instrument and load, respectively, dependent on the phase of IM voltage. C k is the parameters of the kth DUT dependent on the phase of IM voltage. ΔV 2 is the voltage remainder. They are expressed as
$$C_f = 1 + \Gamma \exp \Big(2j\beta \Big(\sum\limits_{k = 1}^N {l_{c(k - 1)}} + l_l \Big)\Big),$$
$$\eqalign{& C_k = \exp \left( {2j\beta \left( {\sum\limits_{s = 1}^k {l_{c(s - 1)}}} \right)} \right) + \Gamma \exp \left( {2j\beta \left( {\sum\limits_{k = 1}^N {l_{c(k - 1)}} + l_l} \right)} \right),} $$
$$C_l = (1 + \Gamma )\exp \left( {2j\beta \left( {\sum\limits_{k = 1}^N {l_{c(k - 1)}} + l_l} \right)} \right),$$
$$\eqalign{ \Delta V^2 &= 2C_f C_l V_f V_l + \sum\limits_{i = 1}^N {2C_f C_i V_f V_{IM}^i }\cr &\quad+ \sum\limits_{j = 1}^N {2C_l C_j V_l V_{IM}^j} + \sum\limits_{i = 1}^{N - 1} {\sum\limits_{j = i + 1}^N {(2C_i C_j V_{IM}^i V_{IM}^j )}}.} $$
Substituting equation (23) into (24), the calculation formula of the PIM power level can be obtained as follows:
$$\eqalign{P_{IM} &= \displaystyle{{C_f^2 (V_f )^2} \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}} + \displaystyle{{C_l^2 (V_l )^2} \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}} \cr & \quad+ \displaystyle{{\sum\nolimits_{k = 1}^N {C_k^2 (V_{IM}^k )^2}} \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}} + \displaystyle{{\Delta V^2} \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}} \cr & = C_f^2 P_f + C_l^2 P_l + \sum\limits_{k = 1}^N {\left( {C_k^2 P_k \cdot \displaystyle{{Z_{IM}^k} \over {\sum\nolimits_{s = 1}^N {Z_{IM}^s}}}} \right)} + \Delta P,} $$
where P f is the PIM power level of the instrument, P l is the PIM power level of the load, P k is the PIM power level of the kth DUT, and ΔP is the power remainder whose expression is
$$\eqalign{\Delta P &= \displaystyle{1 \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}} \left( {2C_f C_l V_f V_l + \sum\limits_{i = 1}^N {2C_f C_i V_f V_{IM}^i}} \right. \cr & \quad\left. { + \sum\limits_{j = 1}^N {2C_l C_j V_l V_{IM}^j} + \sum\limits_{i = 1}^{N - 1} {\sum\limits_{j = i + 1}^N {(2C_i C_j V_i V_j )}}} \right) \cr & = 2C_f C_l \sqrt {P_f P_l} + \sum\limits_{i = 1}^N {\left( {2C_f C_i \sqrt {\displaystyle{{Z_{IM}^i} \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}}} \sqrt {P_f P_i}} \right)} \cr & \quad+ \sum\limits_{j = 1}^N {\left( {2C_l C_j \sqrt {\displaystyle{{Z_{IM}^j} \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}}} \sqrt {P_l P_j}} \right)} \cr & \quad+ \sum\limits_{i = 1}^{N - 1} {\sum\limits_{j = i + 1}^N {\left( {2C_i C_j \displaystyle{{\sqrt {Z_{IM}^i Z_{IM}^j}} \over {2\sum\nolimits_{k = 1}^N {Z_{IM}^k}}} \sqrt {P_i P_j}} \right)}},} $$
where C i and C j are the parameters of the ith and jth DUTs, respectively, dependent on the phase of IM voltage, P i and P j are the PIM power levels of the ith and jth DUTs, respectively.
Equation (29) reveals the relationship of PIM power levels between a single DUT and the cascaded system. It can be seen that the PIM power level of the cascaded system nonlinearly increases with the number of cascaded DUTs.
2) SIMPLIFIED MODEL
When the nonlinear characteristics of all DUTs are nearly same, they would produce the identical PIMP under identical conditions such as same torques and working environment. Then, equations (19) and (20) can be simplified as
$$V_{IMc}^ - = \sum\limits_{k = 1}^N {[V_{IM}} \exp (2j\beta ((k - 1)l_c + l_{c0} ))].$$
Equation (21) can be rewritten as
$$\eqalign{V^ - &= V_f + \sum\limits_{k = 1}^N {[V_{IM}} \exp (2j\beta ((k - 1)l_c + l_{c0} ))] \cr & \quad+ V_l \exp [2j\beta ((N - 1)l_c + l_{c0} + l_l )] \cr & \quad + \Gamma (V_f + NV_{IM} + V_l )\exp [2j\beta ((N - 1)l_c + l_{c0} + l_l )],} $$
where l c is the electrical length between two DUTs.
Equation (23) can be simplified as
According to equations (33) and (34), PIM power levels of the cascaded system can be calculated.
Compared with the existing models, the proposed model could be applied into many situations, including the point sources and cascaded system, and considering the reflection, forward-propagation, electric length, equipment noise, etc.
III. EXPERIMENT VALIDATION
A) Experimental equipment and principle
The input signal frequencies for measurement are f 1 = 2620 MHz and f 2 = 2690 MHz. The third-order PIMP with frequency 2f 1 − f 2 = 2550 MHz will be measured at room temperature.
The experimental equipment includes the Rosenberger portable PIM tester, Rosenberger low PIM load, several Pasternack N-type coaxial connectors as DUTs, and low PIM test cable with characteristic impedance of 50 Ω. The torque acting on DUTs is 10 Nm, and the measurement error of torque is 0.5 Nm.
As shown in Fig. 2, the Rosenberger portable PIM tester is connected to DUT and low PIM load, the other port is connected to PC to show the results. The structure of test system is shown in Fig. 3.
Test connection diagram.
Structure of the test system.

B) Verification steps
For verifying the correctness of the proposed model, we design the following experimental verification steps:
-
(1) When P 1 = P 2, the third-order PIM power levels of a connector with different input powers are measured.
-
(2) When P 1 ≠ P 2, the third-order PIM power levels of a connector with different ratios of two input powers are measured.
-
(3) The third-order PIM power levels with different number of cascaded DUTs are measured.
-
(4) The third-order PIM power level of a single DUT is measured when P 1 = P 2 = 43 dBm, then a 0 and a 3 can be determined. Substituting a 0 and a 3 into equations (15) and (22), the IM voltage and impedance of point source can be acquired. Let C = n = 3, Q = 2, R = −1, l c0 = l l = 1.5 m in equations (13), (14), and (33), and substituting V 1 and V 2 into equation (15), V IM3 can be obtained. Finally, by equation (23) the theoretical results of third-order PIM power levels of single DUT and cascaded DUTs can be obtained.
C) Results and discussion
The experimental and theoretical results in different conditions are shown in Figs 4 and 5.
Comparison of the experimental and calculated values of third-order PIM power levels. (a) The third-order PIM power levels when P 1 = P 2. (b) The third-order PIM power levels with different ratios of two input powers.

Comparison of experimental and calculated values of third-order PIM power levels of cascaded DUTs.

As shown in Fig. 4(a), when P 1 = P 2 and for the different input powers, the calculated result of point-source model matches well with that of the experimental result. As shown in Fig. 4(b), when P 1 ≠ P 2 and for the different ratios of two input powers, the slopes of third-order PIM power levels are −1 dB and 2 dB, respectively, which can be proven as follows.
For the third-order PIM, from equations (13) and (15), there are
From equations (23) and (35), the relationship between the third-order PIM power level and input powers can be obtained as
Further
It can be seen from equation (37) that the slope of the third-order PIM power level is −1 dB, when P 1 is constant. From equation (38) the slope of the third-order PIM power level is 2 dB, when P 2 is constant.
The above results indicate the point-source model can accurately predict PIM power levels with different input powers.
As shown in Fig. 5, the third-order PIM power levels of different number of cascaded DUTs are measured. Although, there are some discrepancies between the experimental and calculated values because of the measurement errors among the torques acting on the cascaded DUTs, on the whole, the experimental results are consistent with the theoretical values, which indicate the cascaded model can accurately predict PIM power levels of the cascaded system. There exist some oscillations because the cascaded model considers the phase change of IM voltage.
IV. CONCLUSIONS
-
(1) This paper introduces a solving method of IM voltage based on the nonlinear I–V characteristics of microwave devices. The point-source model is constructed by the transmission line theory. The consistence between the theoretical values and experimental results validates the point-source model.
-
(2) The point-source model is extended to the cascaded microwave devices and PIM power levels are predicted. The relationship of PIM power levels between a single microwave device and the cascaded system is revealed. The comparison of experimental and calculated values verifies the correctness of the cascaded model.
-
(3) The developed models comprehensively consider the error sources such as the IM residual of system, IM reflection and IM voltage phase, etc. The developed models are universal and provide an effective calculation method for predicting PIM power levels of the large-scale cascaded system.
Tuanjie Li received his Ph.D. degree from Xi'an University of Technology in 1999. He now is a Professor and Ph.D. supervisor at School of Mechano-Electronic Engineering, Xidian University. His main research interests are space deployable structures and passive intermodulation.
Kai Zhang received his Diploma in 2015 from Xi'an Shiyou University. He now is a master of instrument and meter engineering in Xidian University. His current research interests include microwave technique and passive intermodulation.
Jie Jiang received her Ph.D. degree from Xidian University in 2016. Now she is a teacher at Honghe University. Her current research interests include microwave technique and passive intermodulation.



