Next Article in Journal
Unraveling the Hf4+ Site Occupation Transition in Dy: LiNbO3: A Combined Experimental and Theoretical Study on the Concentration Threshold Mechanism
Previous Article in Journal
The Development of Northern Thai Dialect Speech Recognition System
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Improved Propagation Constant Determination Using Two-Line Measurements

by
Musa Bute
Department of Electrical and Electronics Engineering, Gaziantep University, 27310 Gaziantep, Türkiye
Appl. Sci. 2026, 16(1), 162; https://doi.org/10.3390/app16010162
Submission received: 6 October 2025 / Revised: 17 December 2025 / Accepted: 18 December 2025 / Published: 23 December 2025

Abstract

Accurate determination of the propagation constant ( γ ) in uniform microwave lines is critical but challenging due to the requirement for complex calibration and susceptibility to measurement noise. In order to overcome these limitations, a new objective function has been derived for improved propagation constant γ measurement of uniform lines with symmetric reflections through calibration-free line–line measurements. Well-known methods in the literature on the determination of propagation constants with reflection asymmetry and non-reciprocal behavior structures are investigated and compared. To this end, mathematical derivations related to theory of microwave networks are validated by measurements in microwave frequency range X-band (8.2–12.4 GHz). Its advantage relies on the fact that it uses a term which is in the product form of determinants of two characteristic terms, whose value is close to unity both in theory and experiments. Eigenfactor (complex exponential) and γ measurements of an X-band uniform (empty) waveguide section with symmetric reflections were carried out to validate our proposed formalism.

1. Introduction

Many calibration techniques such as the Thru-Reflect-Line (TRL) [1] call for accurate determination of frequency-dependent propagation constant ( γ ) for electromagnetic characterization of microwave networks or devices (not only for determination of error networks but also for evaluation of precise reference planes for scattering-parameter (S-parameter) measurements). Measurement of γ is also important for characterization of these networks or devices by calibration-free methods (no direct calibration process) [2,3,4,5] to extract relative complex permittivity ( ε r ) or other equivalent parameters. These networks or devices can possess no-reflection property, symmetrical reflection property, or even asymmetric reflection property [1,6,7,8,9,10,11,12,13].
The main problem in γ determination of uniform lines with symmetric reflections is assignment or allocation of the correct eigenvalue and eigenfactor at a given frequency [1,6,7,8,10,14]. There are two types of remedies for resolving this problem: the direct approach and indirect approach. In the indirect approach, the terms a m / c m and b m present in error networks are first determined by enforcing the passivity principle and then eigenfactors are calculated using one-to-one (unique) relation [1,10]. In the direct approach, eigenfactors are directly determined by using different methodologies [6,8,14]. For example, in the study [8], between two eigenfactors, the one yielding a monotonous frequency-dependent variation (counterclockwise or clockwise manner) is kept, whereas the other one is discarded for the analyzed frequency, and this process is repeated over the whole frequency band. The problem with this methodology is the assignment of reference eigenfactor at a given frequency from which monotonous variation of eigenfactors is evaluated for the remaining frequencies in the band.
On the other hand, in the studies [6,14], the accurate eigenfactor (positive or negative) at a given frequency is determined by using the property of cosine and sine hyperbolic functions and by exploiting the unique value of the cosine hyperbolic function. The problem associated with this methodology is the requirement of unity value of the determinant of an eigen matrix det ( T M ) = det ( T M 2 T M 1 1 ) where det ( ) denotes the determinant of ‘★’. It will be demonstrated by measurements in Section 4 that det ( T M ) is close but not totally equal to unity. Many studies have also been contributed for deriving propagation constants in the literature recently [15,16,17].
In this paper, we propose a novel and robust methodology to resolve the long-standing problem of eigenfactor ambiguity and the non-unity determinant limitation det ( T M ) 1 in γ determination for uniform lines with symmetric reflections. Our key contribution is the derivation of a new objective function by explicitly considering that the propagation constants ( γ ) might be non-identical in opposite directions of the line. This novel formulation not only simplifies the extraction of correct eigenfactors but also provides a calibration-free and ambiguity-free approach, as validated by X-band measurements.

2. Background and Problem Description

Figure 1 illustrates a pair of uniform and identical lines with different lengths to determine γ by the proposed method.
Here, it is assumed that the lines are sandwiched between two error boxes T A and T B referring to imperfections of vector network analyzers (VNAs), effects of transitions, source and load match errors, and tracking (frequency) errors. It is also assumed that only the dominant mode propagates through the microwave network [6].
For each line in Figure 1 we can write
T M k = T A T L k T B , k = 1 , 2 ,
T L k = 1 S 21 ( k ) Δ k S 11 ( k ) S 22 ( k ) 1 , Δ k = S 11 ( k ) S 22 ( k ) S 21 ( k ) S 12 ( k )
where T M , T A , and T B denote the wave cascading matrices of lines and error networks and S 11 ( k ) , S 22 ( k ) , S 21 ( k ) , and S 12 ( k ) show the forward and backward reflection and transmission S-parameters of the k-th microwave network.
Using (1) and (2), the following eigen matrix and eigen equation can be formed [6,14]
T M = T M 1 T M 2 1 = T A e γ L d 0 0 e + γ L d T A 1
e ± γ L d 2 Tr ( T M ) e γ L d + det ( T M ) = 0 .
where L d = L 1 L 2 and Tr ( ) show the trace operation of the square matrix ‘★’.
Assuming that det ( T M ) = 1 , the following trigonometric expressions can be derived [6,14]:
e γ L d = z z 2 1 = Ch ( γ L d ) Sh ( γ L d ) ,
γ L d = log e γ L d = Ch 1 ( z ) = log z z 2 1 ,
where z = Tr ( T M ) / 2 = Ch ( γ L d ) and Ch and Sh denote the cosine and sine hyperbolic functions. The unique feature of expressions in (5) and (6) is that while Sh is two-valued due to sign-ambiguity, Ch is unique. This unique value of Ch is exploited to obtain unique value of Sh and thus e γ L d [6] as
e γ L d = [ Ch ( α T ) Sh ( α T ) ] [ cos ( β T ) i sin ( β T ) ]
where
Ch 2 ( α T ) = 0.5 | Ch ( γ L d ) | 2 + | Sh ( γ L d ) | 2 + 1
Sh 2 ( α T ) = 0.5 | Ch ( γ L d ) | 2 + | Sh ( γ L d ) | 2 1
cos 2 ( β T ) = 0.5 | Ch ( γ L d ) | 2 | Sh ( γ L d ) | 2 + 1
sin 2 ( β T ) = 0.5 | Ch ( γ L d ) | 2 + | Sh ( γ L d ) | 2 + 1
and α T = α L d and β T = β L d .
A variant form for e γ L d can be obtained [14] as
e γ L d = z 1 1 1 / z 2 , α 0 , [ passive ]
e γ L d = z 1 ± 1 1 / z 2 , α 0 , [ active ] .
The common premise of the expressions given in (5)–(13) is det ( T M ) = 1 . Although ideally it is true, it is difficult to satisfy this by experiments. Therefore, the effect of non-unity det ( T M ) should be accounted for to achieve accurate γ extraction.

3. The Proposed Method

In this section, we derive a new eigenfactor expression accounting for non-unity det ( T M ) . Toward this end, we define two propagation constants, γ 1 and γ 2 ( γ 1 ) , in different directions and obtain the following eigen matrices:
M 1 = T M 1 T M 2 1 = T A e γ 1 ( L 1 L 2 ) 0 0 e + γ 2 ( L 1 L 2 ) T A 1
M 2 = T M 2 T M 1 1 = T A e + γ 1 ( L 1 L 2 ) 0 0 e γ 2 ( L 1 L 2 ) T A 1
Although the investigated line is ideally reciprocal and symmetric, in practice, small non-reciprocal deviations arise from connector asymmetries, cable loss differences, and VNA error networks. To accommodate these imperfections, two propagation constants, γ 1 and γ 2 , are introduced to represent the forward and reverse traveling waves. Their averaged value, of γ = γ 1 + γ 2 2 , defines the physical propagation constant of the line, while their difference enables the determinant relations det ( T M 1 ) and det ( T M 2 ) to deviate from unity while maintaining det ( M 1 ) det ( M 2 ) 1 . This generalization stabilizes the eigen-solution and allows robust extraction even when slight measurement asymmetries are present.
From (14) and (15), we find
Tr ( M 1 ) = e γ 1 L d + e + γ 2 L d , Tr ( M 2 ) = e + γ 1 L d + e γ 2 L d ,
det ( M 1 ) = e γ 1 L d e + γ 2 L d , det ( M 2 ) = 1 / det ( M 1 ) ,
Tr ( M 1 ) det ( M 2 ) = e + γ 1 L d + e γ 2 L d = Tr ( M 2 ) ,
Tr ( M 2 ) det ( M 1 ) = e γ 1 L d + e + γ 2 L d = Tr ( M 1 ) ,
Tr ( M 1 ) Tr ( M 2 ) = 2 + e ( γ 1 + γ 2 ) L d + e + ( γ 1 + γ 2 ) L d .
It is seen from (16) and (20) that some of these expressions are linearly dependent, and some of them are not since det ( M 1 ) is inverse of det ( M 2 ) , Tr ( M 1 ) / Tr ( M 2 ) = det ( M 1 ) , and Tr ( M 2 ) / Tr ( M 1 ) = det ( M 2 ) .
Using (17) and (20), we derive a new eigen function for finding γ as
e ( γ 1 + γ 2 ) L d 2 Tr ( M 1 ) Tr ( M 2 ) 2 e ( γ 1 + γ 2 ) L d + det ( M 1 ) det ( M 2 ) = 0 .
The advantage of the new eigen function in (21) is that the coefficient after e 2 ( γ 1 + γ 2 ) L d is identical to unity; that is, det ( M 1 ) det ( M 2 ) = 1 . Therefore, by assuming that γ = ( γ 1 + γ 2 ) / 2 , it is possible to apply the hyperbolic relations in (5) and (6) and thus the expressions in (12) and (13) to the new eigen function to derive
e 2 γ L d = z 2 1 1 1 / z 2 2 , α 0 , [ passive ]
e 2 γ L d = z 2 1 ± 1 1 / z 2 2 , α 0 , [ active ] ,
where z 2 = Tr ( M 1 ) Tr ( M 2 ) / 2 1 .
Finally, the γ can be extracted from
γ = α + i β = ln ( e 2 γ L d ) ± 2 π m / ( 2 L d ) ,
where m is the branch index ( m = 0 , 1 , 2 , ) whose value can be ascertained by the stepwise method [18].

4. Measurement and Discussion

A general-purpose microwave measurement setup operating in the X-band (8.2–12.4 GHz) was constructed for validation of formalism in [11]. It involves a VNA (model N9918A from Keysight Instruments), two longer rugged phase-stable cables, two coaxial-to-waveguide adapters, and two waveguide straights with lengths greater than 2 times the wavelength at the minimum frequency of the X-band (8.2 GHz). These straights were used in securing dominant mode propagation, as assumed in Section 2. S-parameter measurements with 1001 points were performed. In measurements, the length of the second line ( L 2 ) is adjusted to zero (thru connection) and the length of the first line (X-band waveguide cell) is considered as L 1 = 7.7 mm, yielding L d = 7.7 mm.
Before starting γ measurements, we first examine the variation in det ( M 1 ) (or det ( T M ) ) and det ( M 2 ) over frequency. Figure 2a,b illustrate the frequency dependencies of det ( M 1 ) , det ( M 2 ) , and det ( M 1 ) det ( M 2 ) over the whole band and over the 8.2–9.4 GHz band.
We note the following points from the dependencies in Figure 2a,b. First, both det ( M 1 ) and det ( M 2 ) are close to but do not attain unity value (less than 1 0.06 ) over the whole band. Second, while det ( M 1 ) increases at a given frequency, det ( M 2 ) decreases at that frequency (or vice versa). Third, det ( M 1 ) det ( M 2 ) is close to unity regardless of how far det ( M 1 ) and/or det ( M 2 ) values are away from the unity. We then determined e 2 γ L d and γ of the X-band line by the method in [14] and the proposed method. Figure 3 and Figure 4 show, respectively, the real and imaginary parts of the determined e 2 γ L d and extracted γ by the method in [14] and the proposed method.
In addition, imaginary parts of e 2 γ L d and γ determined by the method in [14] and the proposed method are also illustrated in Figure 5a,b over the 9.6–10 GHz frequency region for better comparison. In order to compare the accuracy of determined e 2 γ L d values, we also computed e 2 γ cal L d using γ cal = i k 0 1 ( f c / f ) 2 where k 0 is the free-space (unbounded) wavenumber and f c 6.557 GHz.
It is seen from Figure 3 and Figure 4 that extracted e 2 γ L d and γ values by the method in [14] and the proposed method are in good agreement with the calculated e 2 γ cal L d and γ cal values. On the other hand, we note from Figure 4a that extracted α = e { γ } values by the method in [14] and the proposed method are greater than zero for the whole frequency band, which is a requirement of the passivity principle.
Finally, we note from Figure 5a,b that the difference between m { e 2 γ L d } (and m { γ } ) values extracted by the method in [14] and the proposed method arises from non-unity values of det ( M 1 ) and det ( M 2 ) . The proposed method is more robust in γ determination because it benefits the highly stable property det ( M 1 ) det ( M 2 ) = 1 to mathematically reduce the impact of fluctuations inherent in the conventional assumption det ( M 1 ) 1 . As demonstrated in Figure 2, the stability of the product term is superior to the instability of det ( M 1 ) across the measured band, resulting in a more consistent extraction of the characteristic eigenfactor.

5. Conclusions

In this work, a new formalism has been introduced for the accurate extraction of the propagation constant (γ) in uniform reflection-symmetric microwave lines using a calibration-free line–line measurement approach. Unlike conventional techniques such as TRL or SOLT, which require extensive calibration standards and precise fixture alignment, the proposed method eliminates the need for prior calibration by employing a determinant-based objective function, where det ( M 1 ) det ( M 2 ) = 1 is inherently satisfied in measurement. The proposed method was validated experimentally using X-band (8.2–12.4 GHz) waveguide measurements and numerically through full-wave electromagnetic simulations. The extracted values accurately reproduced measured S-parameters, confirming the method’s reliability and physical consistency. The calibration-free nature of the method reduces VNA setup complexity, particularly in measurement environments where access to standard calibration kits is limited or impractical. It is especially advantageous for symmetric reflection structures, difficult-to-calibrate waveguide fixtures, and test environments involving integrated or miniaturized components, where conventional TRL or SOLT calibrations may introduce alignment and repeatability errors. The length L d = 7.7 mm was specifically chosen to optimize the phase separation between the two line measurements within the X-band ( 8.2 12.4 GHz ). This length ensures that the phase shift 2 β L d avoids the critical points of n π , which prevents the root ambiguity often found in the quadratic characteristic equation. Furthermore, this choice provides a sufficient signal-to-noise ratio by ensuring the S-parameter differences are not dominated by measurement noise, while remaining short enough to allow for reliable phase unwrapping of the eigenfactor e 2 γ L d . The method can be extended to other uniform transmission line types, such as coaxial, microstrip, or coplanar waveguide lines, across various microwave and millimeter-wave bands. Conventional TRL and SOLT calibrations rely on multiple standards to relocate the reference planes, whereas the proposed approach achieves determination directly from line–line S-parameter pairs, without any calibration standards. The method therefore provides a simpler, faster, and inherently reference-plane-invariant alternative, while maintaining accuracy comparable to conventional VNA calibrations. Briefly, this calibration-free determinant-based line–line approach provides an efficient and robust solution for propagation constant determination in uniform transmission lines, with strong potential for practical use in metrology, material characterization, and on-site microwave measurements where calibration is infeasible. Future work will include a quantitative noise-sensitivity analysis, utilizing Monte Carlo simulations to statistically compare the variance and error of γ extraction under different determinant assumptions.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

I acknowledge to Microwave Lab for my experiments at department of Electrical and Electronics Engineering, Gaziantep University.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
TRLThru-Reflect-Line
VNAVector Network Analyzers
det( )Determinant of an Eigen Matrix
X-band8.2 GHz–12.4 GHz

References

  1. Engen, G.F.; Hoer, C.A. Thru-reflect-line: An improved technique for calibrationg the dual 6-port automatic network analyzer. IEEE Trans. Microw. Theory Techn. 1979, 27, 987–993. [Google Scholar] [CrossRef]
  2. Janezic, M.D.; Jargon, J.A. Complex permittivity determination from propagation constant measurements. IEEE Microw. Guided Wave Lett. 1999, 9, 76–78. [Google Scholar] [CrossRef]
  3. Wan, C.; Nauwelaers, B.; Raedt, W.D.; Rossum, M.V. Two new measurement methods for explicit determination of complex permittivity. IEEE Trans. Microw. Theory Techn. 1998, 46, 1614–1619. [Google Scholar] [CrossRef]
  4. Huynen, I.; Steukers, C.; Duhamel, F. A wideband line-line dielectrometric method for liquids, soils, and planar substrates. IEEE Trans. Instrum. Meas. 2001, 50, 1343–1348. [Google Scholar] [CrossRef]
  5. Hasar, U.C. Self-calibrating transmission-reflection technique for constitutive parameters retrieval of materials. IEEE Trans. Microw. Theory Techn. 2018, 66, 1081–1089. [Google Scholar] [CrossRef]
  6. Fuh, K.F. Broadband continuous extraction of complex propagation constants in methods using two-line measurements. IEEE Microw. Wireless Compon. Lett. 2013, 23, 671–673. [Google Scholar] [CrossRef]
  7. Marks, R.B. A multiline method of network analyzer calibration. IEEE Trans. Microw. Theory Techn. 1991, 39, 1205–1215. [Google Scholar] [CrossRef]
  8. Reynoso-Hernandez, J.A.; Estrada-Maldonado, C.F.; Parra, T.; Grenier, K.; Graffeuil, J. An improved method for the wave propagation constant γ estimation in broadband uniform millimeter-wave transmission line. Microw. Opt. Technol. Lett. 1999, 22, 268–271. [Google Scholar] [CrossRef]
  9. Reynoso-Hernandez, J.A. Reliable method for computing the phase shift of multiline LRL calibration technique. IEEE Microw. Wireless Compon. Lett. 2002, 12, 395–397. [Google Scholar] [CrossRef]
  10. Reynoso-Hernandez, J.A. Unified method for determining the complex propagation constant of reflecting and nonreflecting transmission lines. IEEE Microw. Wireless Compon. Lett. 2003, 13, 351–353. [Google Scholar] [CrossRef]
  11. Hasar, U.C. Propagation constant measurement of microwave networks with symmetric/asymmetric reflections. IEEE Sensors J. 2018, 18, 4940–4946. [Google Scholar] [CrossRef]
  12. Hasar, U.C.; Yildiz, G.; Bute, M.; Muratoglu, A. Reference-plane-invariant waveguide method for electromagnetic characterization of bi-axial bianisotropic metamaterials. Sens. Actuators Phys. 2018, 283, 141–150. [Google Scholar] [CrossRef]
  13. Hasar, U.C.; Bute, M.; Muratoglu, A.; Barroso, J.J.; Karacali, T.; Ertugrul, M. Constitutive parameters determination of bi-anisotropic metamaterials using a waveguide method. In Proceedings of the 2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), Porto de Galinhas, Brazil, 3–6 November 2015; pp. 1–4. [Google Scholar]
  14. Fuh, K. Identification and sign-ambiguity-free calculations of reciprocal characteristic parameters in microwave applications. IEEE Microw. Wireless Compon. Lett. 2017, 27, 773–775. [Google Scholar] [CrossRef]
  15. Hasar, U.C.; Kaya, Y.; Ozturk, G.; Ertugrul, M. Propagation constant measurements of reflection-asymmetric and nonreciprocal microwave networks from S-parameters without using a reflective standard. Measurement 2020, 165, 108126. [Google Scholar] [CrossRef]
  16. Hasar, U.C.; Ozturk, H.; Korkmaz, H.; Izginli, M.; Karaaslan, M. Improved line-line method for propagation constant measurement of reflection-asymmetric networks. Measurement 2022, 192, 110848. [Google Scholar] [CrossRef]
  17. Hasar, U.C.; Ozturk, H.; Korkmaz, H.; Ozkaya, M.A.; Ramahi, O.M. Determination of propagation constant and impedance of non-reciprocal networks/lines using a generalized line-line method. Measurement 2023, 217, 113021. [Google Scholar] [CrossRef]
  18. Luukkonen, O.; Maslovski, S.I.; Tretyakov, S.A. A stepwise Nicolson-Ross-Weir-based material parameter extraction method. IEEE Antennas Wireless Propag. Lett. 2011, 10, 1295–1298. [Google Scholar] [CrossRef]
Figure 1. A pair of uniform and identical lines between error boxes T A and T B . (a) Longer line with length L 1 and (b) shorter line with length L 2 .
Figure 1. A pair of uniform and identical lines between error boxes T A and T B . (a) Longer line with length L 1 and (b) shorter line with length L 2 .
Applsci 16 00162 g001
Figure 2. Frequency dependencies of (a) measured det ( M 1 ) and det ( M 1 ) det ( M 2 ) over whole X-band and (b) det ( M 1 ) , det ( M 2 ) , and det ( M 1 ) det ( M 2 ) over 8.2–9.4 GHz.
Figure 2. Frequency dependencies of (a) measured det ( M 1 ) and det ( M 1 ) det ( M 2 ) over whole X-band and (b) det ( M 1 ) , det ( M 2 ) , and det ( M 1 ) det ( M 2 ) over 8.2–9.4 GHz.
Applsci 16 00162 g002
Figure 3. (a) Real and (b) imaginary parts of the determined e 2 γ L d by the method in Fuh 2017. [14] and the proposed method in addition to its calculated value.
Figure 3. (a) Real and (b) imaginary parts of the determined e 2 γ L d by the method in Fuh 2017. [14] and the proposed method in addition to its calculated value.
Applsci 16 00162 g003
Figure 4. (a) Real and (b) imaginary parts of the determined γ by the method in Fuh 2017. [14] and the proposed method in addition to its calculated value.
Figure 4. (a) Real and (b) imaginary parts of the determined γ by the method in Fuh 2017. [14] and the proposed method in addition to its calculated value.
Applsci 16 00162 g004
Figure 5. Frequency dependencies of determined (a) e 2 γ L d and (b) γ over 9.6–10 GHz by the method in Fuh 2017 [14] and the proposed method in addition to its calculated value.
Figure 5. Frequency dependencies of determined (a) e 2 γ L d and (b) γ over 9.6–10 GHz by the method in Fuh 2017 [14] and the proposed method in addition to its calculated value.
Applsci 16 00162 g005
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Bute, M. Improved Propagation Constant Determination Using Two-Line Measurements. Appl. Sci. 2026, 16, 162. https://doi.org/10.3390/app16010162

AMA Style

Bute M. Improved Propagation Constant Determination Using Two-Line Measurements. Applied Sciences. 2026; 16(1):162. https://doi.org/10.3390/app16010162

Chicago/Turabian Style

Bute, Musa. 2026. "Improved Propagation Constant Determination Using Two-Line Measurements" Applied Sciences 16, no. 1: 162. https://doi.org/10.3390/app16010162

APA Style

Bute, M. (2026). Improved Propagation Constant Determination Using Two-Line Measurements. Applied Sciences, 16(1), 162. https://doi.org/10.3390/app16010162

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop