Two-ray ground-reflection model

{{Short description|Multipath radio propagation model}}

The two-rays ground-reflection model is a multipath radio propagation model which predicts the path losses between a transmitting antenna and a receiving antenna when they are in line of sight (LOS). Generally, the two antenna each have different height. The received signal having two components, the LOS component and the reflection component formed predominantly by a single ground reflected wave.

  • The 2-ray ground reflection model is a simplified propagation model used to estimate the path loss between a transmitter and a receiver in wireless communication systems, in order to estimate the actual communication paths used. It assumes that the signal propagates through two paths:

1) Direct Path: A direct line-of-sight path between the transmitter and receiver antennas.

2) Reflected path: The path through which the signal reflects off the ground before reaching the receiver.

File:2-Ray Ground Reflection.png

Mathematical derivation<ref name="Jakes">{{cite book|last1=Jakes|first1=W.C.|title=Microwave Mobile Communications|date=1974|publisher=IEEE Press|location=New York}}</ref><ref name=":1">{{cite book|last=Rappaport|first=Theodore S.|title=Wireless Communications: Principles and Practice|year=2002|publisher=Prentice Hall PTR|location=Upper Saddle River, NJ|isbn=978-0130422323|edition=2.}}</ref>

From the figure the received line of sight component may be written as

:r_{los}(t)=Re \left\{ \frac{ \lambda \sqrt{G_{los}} }{4\pi}\times \frac{s(t) e^{-j2\pi l/\lambda}}{l} \right\}

and the ground reflected component may be written as

:r_{gr}(t)=Re\left\{\frac{\lambda \Gamma(\theta) \sqrt{G_{gr}}}{4\pi}\times \frac{s(t-\tau) e^{-j2\pi (x+x')/\lambda}}{x+x'} \right\}

where s(t) is the transmitted signal, l is the length of the direct line-of-sight (LOS) ray, x + x' is the length of the ground-reflected ray, G_{los} is the combined antenna gain along the LOS path, G_{gr} is the combined antenna gain along the ground-reflected path, \lambda is the wavelength of the transmission (\lambda = \frac{c}{f}, where c is the speed of light and f is the transmission frequency), \Gamma(\theta) is ground reflection coefficient and \tau is the delay spread of the model which equals (x+x'-l)/c. The ground reflection coefficient is

:\Gamma(\theta)= \frac{\sin \theta - X}{\sin \theta + X }

where X=X_h or X=X_v depending if the signal is horizontal or vertical polarized, respectively. X is computed as follows.

:X_{h}=\sqrt{\varepsilon_{g}-{\cos}^2 \theta},\ X_{v}= \frac{\sqrt{\varepsilon_g-{\cos}^{2}\theta}}{\varepsilon_{g}} = \frac{X_h}{\varepsilon_g}

The constant \varepsilon_g is the relative permittivity of the ground (or generally speaking, the material where the signal is being reflected), \theta is the angle between the ground and the reflected ray as shown in the figure above.

From the geometry of the figure, yields:

:x+x'=\sqrt{(h_t+h_r)^2 +d^2}

and

:l=\sqrt{(h_t - h_r) ^2 +d^2},

Therefore, the path-length difference between them is

:\Delta d=x+x'-l=\sqrt{(h_t+h_r )^2 +d^2}-\sqrt{(h_t- h_r) ^2 +d^2}

and the phase difference between the waves is

:\Delta \phi =\frac{2 \pi \Delta d}{\lambda}

The power of the signal received is

: P_r = E\{|r_{los}(t) + r_{gr}(t)|^2 \}

where E\{\cdot\} denotes average (over time) value.

=Approximation=

If the signal is narrow band relative to the inverse delay spread 1/\tau, so that s(t)\approx s(t-\tau), the power equation may be simplified to

:

\begin{align}

P_r= E\{|s(t)|^2\} \left( {\frac{\lambda}{4\pi}} \right) ^2 \times \left| \frac{\sqrt{G_{los}} \times e^{-j2\pi l/\lambda}}{l} + \Gamma(\theta) \sqrt{G_{gr}} \frac{e^{-j2\pi (x+x')/\lambda}}{x+x'} \right|^2&=P_t \left( {\frac{\lambda}{4\pi}} \right) ^2 \times \left| \frac{\sqrt{G_{los}}} {l} + \Gamma(\theta) \sqrt{G_{gr}} \frac{e^{-j \Delta \phi}}{x+x'} \right|^2

\end{align}

where P_t= E\{|s(t)|^2\} is the transmitted power.

When distance between the antennas d is very large relative to the height of the antenna we may expand \Delta d = x+x'-l,

:

\begin{align}

\Delta d = x+x'-l = d \Bigg(\sqrt{\frac{(h_t+h_r) ^2}{d^2}+1}-\sqrt{\frac{(h_t- h_r )^2 }{d^2}+1}\Bigg)

\end{align}

using the Taylor series of \sqrt{1 + x}:

:\sqrt{1 + x} = 1 + \textstyle \frac{1}{2}x - \frac{1}{8}x^2 + \dots,

and taking the first two terms only,

: x+x'-l \approx \frac{d}{2} \times \left( \frac{(h_t+ h_r )^2}{d^2} -\frac{(h_t- h_r )^2 }{d^2} \right) = \frac{2 h_t h_r }{d}

The phase difference can then be approximated as

:\Delta \phi \approx \frac{4 \pi h_t h_r }{\lambda d}

When d is large, d \gg (h_t+h_r),

File:Reflection co-efficient ground reflection of radio waves.jpg

:

\begin{align}

d & \approx l \approx x+x',\ \Gamma(\theta) \approx -1,\ G_{los} \approx G_{gr} = G

\end{align}

and hence

: P_r \approx P_t \left( {\frac{\lambda \sqrt{G}}{4\pi d}} \right) ^2 \times | 1-e^{-j \Delta \phi}|^2

Expanding e^{-j\Delta \phi} using Taylor series

:e^x = \sum_{n=0}^\infty \frac{x^n}{n!} = 1 + x + \frac{x^2}{2} + \frac{x^3}{6} + \cdots

and retaining only the first two terms

:e^{-j\Delta \phi} \approx 1 + ({-j\Delta \phi}) + \cdots = 1 - j\Delta \phi

it follows that

:

\begin{align}

P_r & \approx P_t \left( {\frac{\lambda \sqrt{G}}{4\pi d}} \right) ^2 \times |1 - (1 -j \Delta \phi) |^2 \\

& = P_t \left( {\frac{\lambda \sqrt{G}}{4\pi d}} \right) ^2 \times \Delta \phi^2 \\

& = P_t \left({\frac{\lambda \sqrt{G}}{4\pi d}} \right) ^2 \times \left(\frac{4 \pi h_t h_r }{\lambda d} \right)^2 \\

& = P_t \frac{G h_t ^2 h_r ^2}{d^4}

\end{align}

so that

: P_r \approx P_t \frac{G h_t ^2 h_r ^2}{d^4}

and path loss is

:PL=\frac{P_t}{P_r}=\frac{d^4}{Gh_t^2h_r^2}

which is accurate in the far field region, i.e. when \Delta \phi \ll 1 (angles are measured here in radians, not degrees) or, equivalently,

: d \gg \frac{4 \pi h_t h_r }{\lambda}

and where the combined antenna gain is the product of the transmit and receive antenna gains, G=G_t G_r. This formula was first obtained by B.A. Vvedenskij.{{cite journal|last1=Vvedenskij|first1=B.A.|title=On Radio Communications via Ultra-Short Waves|journal=Theoretical and Experimental Electrical Engineering|date=December 1928|issue=12|pages=447–451}}

Note that the power decreases with as the inverse fourth power of the distance in the far field, which is explained by the destructive combination of the direct and reflected paths, which are roughly of the same in magnitude and are 180 degrees different in phase. G_t P_t is called "effective isotropic radiated power" (EIRP), which is the transmit power required to produce the same received power if the transmit antenna were isotropic.

In logarithmic units

In logarithmic units : P_{r_\text{dBm}}=P_{t_\text{dBm}}+ 10 \log_{10}(G h_t ^2 h_r ^2) - 40 \log_{10}(d)

Path loss : PL\;=P_{t_\text{dBm}}-P_{r_\text{dBm}}\;=40 \log_{10}(d)-10 \log_{10}(G h_t ^2 h_r ^2)

Power vs. distance characteristics

When the distance d between antennas is less than the transmitting antenna height, two waves are added constructively to yield bigger power. As distance increases, these waves add up constructively and destructively, giving regions of up-fade and down-fade. As the distance increases beyond the critical distance dc or first Fresnel zone, the power drops proportionally to an inverse of fourth power of d. An approximation to critical distance may be obtained by setting Δφ to π as the critical distance to a local maximum.

An extension to large antenna heights

The above approximations are valid provided that d \gg (h_t+h_r), which may be not the case in many scenarios, e.g. when antenna heights are not much smaller compared to the distance, or when the ground cannot be modelled as an ideal plane . In this case, one cannot use \Gamma \approx -1 and more refined analysis is required, see e.g.{{cite journal|last1=Loyka|first1=Sergey|last2=Kouki|first2=Ammar|title=Using Two Ray Multipath Model for Microwave Link Budget Analysis|journal=IEEE Antennas and Propagation Magazine|date=October 2001|volume=43|issue=5|pages=31–36|doi=10.1109/74.979365 |bibcode=2001IAPM...43...31L }}{{Cite conference|last1=Loyka|first1=Sergey|last2=Kouki|first2=Ammar|last3=Gagnon|first3=Francois|title=Fading Prediction on Microwave Links for Airborne Communications|conference=IEEE Vehicular Technology Conference|publication-place=Atlantic City, USA|date=Oct 2001}}

Propagation modeling for [[High-Altitude Platform|high-altitude platforms]], [[Unmanned aerial vehicle|UAVs]], [[Unmanned aerial vehicle|drones]], etc.

The above large antenna height extension can be used for modeling a ground-to-the-air propagation channel as in the case of an airborne communication node, e.g. an UAV, drone, high-altitude platform. When the airborne node altitude is medium to high, the relationship d \gg (h_t+h_r) does not hold anymore, the clearance angle is not small and, consequently, \Gamma \approx -1 does not hold either. This has a profound impact on the propagation path loss and typical fading depth and the fading margin required for the reliable communication (low outage probability).

As a case of log distance path loss model

The standard expression of Log distance path loss model in [dB] is

: PL\;=P_{T_{dBm}}-P_{R_{dBm}}\;=\;PL_0\;+\;10\nu\;\log_{10} \frac{d}{d_0}\;+\;X_g,

where X_g is the large-scale (log-normal) fading, d_0 is a reference distance at which the path loss is PL_0 , \nu is the path loss exponent; typically \nu = 2...4. This model is particularly well-suited for measurements, whereby PL_0 and \nu are determined experimentally; d_0 is selected for convenience of measurements and to have clear line-of-sight. This model is also a leading candidate for 5G and 6G systems{{cite journal|display-authors=etal|last1=Rappaport|first1=T. S.|title=Overview of millimeter wave communications for fifth-generation (5G) wireless networks — with a focus on propagation models|journal=IEEE Transactions on Antennas and Propagation|date=Dec 2017|volume=65|issue=12|pages=6213–6230|doi=10.1109/TAP.2017.2734243 |arxiv=1708.02557 |bibcode=2017ITAP...65.6213R |s2cid=21557844 }}{{cite journal|display-authors=etal|last1=Rappaport|first1=T. S.|title=Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond|journal=IEEE Access|date=June 2019|volume=7|pages=78729–78757|doi=10.1109/ACCESS.2019.2921522 |bibcode=2019IEEEA...778729R |s2cid=195740426 |doi-access=free}} and is also used for indoor communications, see e.g.{{Citation |title=ITU model for indoor attenuation |date=2021-03-14 |url=https://en.wikipedia.org/w/index.php?title=ITU_model_for_indoor_attenuation&oldid=1012075065 |work=Wikipedia |access-date=2022-01-24 |language=en}}; see also [https://www.itu.int/dms_pubrec/itu-r/rec/p/R-REC-P.1238-8-201507-S!!PDF-E.pdf] and references therein.

The path loss [dB] of the 2-ray model is formally a special case with \nu = 4:

:PL\;=P_{t_{dBm}}-P_{r_{dBm}}\;=40 \log_{10}(d)-10 \log_{10}(G h_t ^2 h_r ^2)

where d_0=1 , X_g = 0, and

: PL_0 =-10 \log_{10}(G h_t ^2 h_r ^2) ,

which is valid the far field, d > d_c = 4\pi h_r h_t/\lambda = the critical distance.

As a case of multi-slope model

The 2-ray ground reflected model may be thought as a case of multi-slope model with break point at critical distance with slope 20 dB/decade before critical distance and slope of 40 dB/decade after the critical distance. Using the free-space and two-ray model above, the propagation path loss can be expressed as

L =\max \{G, L_{min},L_{FS},L_{2-ray}\}

where L_{FS}=(4\pi d/\lambda)^2 and L_{2-ray}=d^4/(h_t h_r)^2 are the free-space and 2-ray path losses;

L_{min}

is a minimum path loss (at smallest distance), usually in practice;

L_{min} \approx 20

dB or so. Note that

L \ge G

and also

L \ge 1

follow from the law of energy conservation (since the Rx power cannot exceed the Tx power) so that both L_{FS}=(4\pi d/\lambda)^2 and L_{2-ray}=d^4/(h_t h_r)^2 break down when d is small enough. This should be kept in mind when using these approximations at small distances (ignoring this limitation sometimes produces absurd results).

See also

References

{{reflist|refs=}}

Further reading

  • S. Salous, Radio Propagation Measurement and Channel Modelling, Wiley, 2013.
  • J.S. Seybold, Introduction to RF propagation, Wiley, 2005.
  • K. Siwiak, Radiowave Propagation and Antennas for Personal Communications, Artech House, 1998.
  • M.P. Doluhanov, Radiowave Propagation, Moscow: Sviaz, 1972.
  • V.V. Nikolskij, T.I. Nikolskaja, Electrodynamics and Radiowave Propagation, Moscow: Nauka, 1989.
  • 3GPP TR 38.901, Study on Channel Model for Frequencies from 0.5 to 100 GHz (Release 16), Sophia Antipolis, France, 2019 [https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=3173]
  • Recommendation ITU-R P.1238-8: Propagation data and prediction methods for the planning of indoor radiocommunication systems and radio local area networks in the frequency range 300 MHz to 100 GHz [https://www.itu.int/dms_pubrec/itu-r/rec/p/R-REC-P.1238-8-201507-S!!PDF-E.pdf]
  • S. Loyka, ELG4179: Wireless Communication Fundamentals, Lecture Notes (Lec. 2-4), University of Ottawa, Canada, 2021 [https://www.site.uottawa.ca/~sloyka/]

{{Radio frequency propagation models}}

Category:Radio frequency propagation model