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Remote Sensing
  • Technical Note
  • Open Access

12 January 2024

Downlink Analysis of a Low-Earth Orbit Satellite Considering an Airborne Interference Source Moving on Various Trajectory

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1
Department of Electronic and Electrical Engineering, Hongik University, Seoul 04066, Republic of Korea
2
Radar and EW Technology Center Agency for Defense Development, Daejeon 34186, Republic of Korea
*
Author to whom correspondence should be addressed.
This article belongs to the Special Issue LEO-Augmented PNT Service

Abstract

This paper analyzes low-Earth-orbit (LEO) satellite downlinks when an airborne interference source moves parallel to the satellite trajectory by considering the relative angle differences between the satellites and the interference sources. To make the experimental interference situations more like actual environments, the LEO trajectories are obtained from two-line element set (TLE) data. Airborne interference sources with various altitudes move parallel to the LEO trajectories, and a jamming to signal (J/S) ratio is calculated based on the relative angle differences between the ground station, the LEO satellite, and the interference source. To accurately calculate the J/S ratio, we should apply the sidelobe gain from which the interference signal enters to the ground station antenna. In order to calculate the relative angle difference ψ, the coordinates of the satellite and the interference source are converted from the World Geodetic System 1984 (WGS84) to the ground station-centered east–north-up (ENU) system. The resulting J/S ratio demonstrates that the distance and the relative angle difference ψ between the ground stations, LEO satellite, and airborne interference source appear to be important factors causing changes in the J/S ratio. Among them, the relative angle difference ψ, which determines the sidelobe gain of the ground station antenna, is the most significant factor affecting the J/S ratio variation.

1. Introduction

Low-Earth-orbit (LEO) satellites have been widely used to perform various Earth observation missions, such as resource monitoring, weather surveillance, and military reconnaissance, while circling the Earth along a trajectory below 2000 km in altitude [1,2]. To perform these missions effectively, the satellites often employ synthetic aperture radars to capture high-resolution images of the Earth’s surface, and the image data are then transmitted at a high speed to ground stations using X-band downlinks. The period of data communication between LEO satellites and ground stations is limited to a maximum of 10 min, though this varies slightly depending on the satellite trajectory. In order to predict whether or not image data can be received within such a short period of time, a link budget analysis that considers various environmental factors is essential. A link budget analysis considering natural earth environment, such as atmospheric impact [3,4,5] and Doppler shift [6,7,8], has been previously conducted. In addition, studies on link budget in interference environments where ground station antennas are exposed to intentional electromagnetic (EM) interference sources have also been investigated [9,10,11]. Although some research has been conducted in various interference situations, there is a lack of studies analyzing real LEO satellite trajectories and airborne interference sources. In particular, the airborne interference sources have a much greater impact on the satellite downlink compared to ground-based interference sources. Since ground stations should receive data within 10 min, the downlink can be significantly affected by the speed or path of the airborne interference source. Additionally, more in-depth research is required to accurately derive link budgets by considering the sidelobe gain of the ground station antenna based on the relative angle difference between the LEO satellite and the airborne interference source. The sidelobe gain of the ground station antenna is important because it has a critical impact on the J/S ratio, and the sidelobe gain is determined by the relative difference in angle between the LEO satellite and the airborne interference source.
In this paper, we analyze LEO satellite downlinks under interference situations when airborne interference sources move parallel to the satellite trajectory by considering the relative angle differences between the satellites and the interference sources. To make interference situations more like actual environments, we use the two-line element set (TLE) data of LEO satellite trajectory information, including geodetic coordinates provided by the Joint Space Operations Center at Vandenberg Air Force Base. Airborne interference sources with various altitudes (3 km, 6 km, 9 km, and 12 km) move parallel to the trajectories of the LEO satellites, and the jamming to signal (J/S) ratio is calculated based on the relative angle differences between the ground station, satellite, and interference source. In this study, only the simplest path, traveling parallel to the satellite, is observed. In order to express the positions of these three elements, the World Geodetic System 1984 (WGS84) coordinates are converted to the ground station-centered east–north-up (ENU) system [12,13]. Based on the ENU coordinates, the relative angle difference between the satellite and the interference source is calculated, and the sidelobe gain of the ground station antenna to the direction where interference electromagnetic (EM) waves are incoming. The radiation pattern of the ground station antenna is obtained using geometrical optics (GO) and physical optics (PO) [14], and the sidelobe gain is then obtained and applied to the J/S ratio calculation. We investigate the link budget under interference situations in which airborne interference sources move at a minimum distance of 100 km (Path 1), 200 km (Path 2), and 300 km (Path 3) from the ground station. For each path, the elevation angle and slant distance between the interference source and ground station are calculated during the data communication period according to the altitudes of the airborne interference source. In all scenarios, the period of data communication between the LEO satellite and the ground station is assumed to be approximately 600 s. We examine the J/S ratio results according to satellite trajectories, with maximum elevation angles of 86.8° (Trajectory 1), 62.7° (Trajectory 2), and 37.3° (Trajectory 3). The trends in relative angle difference and J/S ratio according to the paths and altitudes of the interference source are observed, and the results confirm that the J/S ratio increases as the relative angle difference decreases. These results show that although the distances between ground station, LEO satellite, and interference source are important from a J/S ratio perspective, the relative angle difference between the interference source and satellite is an even more critical factor.

2. Scenario of Interference Source Moving along the Satellite Trajectory

2.1. LEO Satellite Downlink Scenario and J/S Ratio Calculation

Figure 1 shows a conceptual figure of an LEO satellite downlink scenario in an interference situation where the ground station is exposed to strong EM waves incoming from an airborne source that moves along a path parallel to the LEO satellite trajectory. The LEO satellite moves along a trajectory with an altitude of hs and transmits image data to the ground station through an X-band downlink. When the ground station is assumed to be the center of the coordinates, θs is the elevation angle between the LEO satellite and the Earth’s surface, and ds is the slant distance from the ground station to the satellite. As the satellite transmits image data to the ground station, the airborne interference source moves parallel to the trajectory of the LEO satellite at a distance dp from the ground station. The elevation angle between the interference source and the Earth’s surface is θi, and the slant distance to the interference source is di. The satellite transmits image data between t1 and tn to the ground station located at a specific latitude and longitude on the Earth’ surface. The ideal data communication time is about 600 s, during which the relative angle difference between the LEO satellite and the airborne interference source is ψ. To analyze the link budget under these conditions, the J/S ratio can be calculated using Equation (1):
J S = P t i + G t i + G r g ( ξ = ψ ) L i P t s + G t s + G r g ( ξ = 0 ° ) L s ,
where S is the power received by the ground station from the LEO satellite. P t s is the transmission power from the satellite, and G t s is the bore-sight gain of the data transmission antenna in the satellite. G r g (ξ) is the gain pattern of the ground station antenna according to the steering angle ξ, and G r g (ξ = 0°) is the bore-sight gain of the ground station antenna. Here, it is assumed that the ground station antenna is precisely tracking in the direction of the satellite, and thus the ground station’s movements toward the satellite are always G r g (ξ = 0°). L s is the path loss between the LEO satellite and the ground station, calculated assuming free space. J is the power received at the ground station from the airborne interference source and is calculated in a similar way to S. P t i is the transmission power from the airborne interference source, and G t i is the bore-sight gain of the airborne interference source antenna. G r g (ξ = ψ) is the sidelobe gain of the ground station antenna to the direction where the ground station is exposed to strong incoming EM interference waves. L i is the path loss from the airborne interference source to the ground station.
Figure 1. Conceptual figure of the LEO satellite downlink scenario under interference situations.

2.2. Derivation of Relative Angle Difference ψ with Sidelobe Gain

For the J/S ratio in Equation (1), Ls can be obtained using the LEO satellite’s TLE data. The TLE data consist of two lines of trajectory information, including epoch times, eccentricities, and inclination angles. Based on these data, location information, such as latitude, longitude, and altitude, is obtained to predict the trajectory. ds is calculated by applying the free-space Friis equation with the slant distance between the satellite and ground station. J is then calculated from the path loss L i and the sidelobe gain of the ground station antenna toward the interference source, and thus the sidelobe gain is determined by the location of the interference source. To calculate the sidelobe gain toward the interference source, the relative angle difference ψ is defined. ψ is the angle between the LEO satellite and the airborne interference source when the ground station antenna is set as the origin of the coordinate system. Latitude, longitude, and altitude coordinates are generally referred to using WGS84. For example, the latitude ϕg, longitude λg, and altitude hg of the ground station according to WGS84 are indicated by the green square marker in Figure 2a. To calculate the relative angle difference ψ, the WGS84 coordinates of the LEO satellite, ground station, and airborne interference source are converted into ENU coordinates. The ENU system uses Cartesian coordinates relative to a specific Earth location as its origin. Here, the location of the ground station is the origin for the ENU system. Converting coordinates from WGS84 to ENU requires two steps: conversion from WGS84 to Earth-centered Earth-fixed (ECEF), and then conversion from ECEF to ENU. To convert to the ECEF coordinate system, the Earth’s radius R is calculated at latitude ϕ by Equation (2), where a (= 6378.137 km for WGS84) is the ellipsoidal equatorial radius and e is the eccentricity of the ellipsoid (e2 = 0.00669437999 for WGS84). The ECEF system has the center of the Earth as the origin (0, 0, 0), which allows us to calculate XECEF, YECEF, and ZECEF from latitude ϕ, longitude λ, and altitude h using Equations (3)–(5):
R = a 1 e 2 sin 2 ϕ ,
X E C E F = ( R + h ) cos λ cos ϕ ,
Y E C E F = ( R + h ) sin λ cos ϕ ,
Z E C E F = [ ( R ( 1 e 2 ) + h ] sin ϕ
Figure 2. Schematic diagram for the conversion of the coordinate systems for the ground station, LEO satellite, and interference source: (a) conversion from WGS84 to the ECEF; (b) transformation from ECEF to ENU.
Now, the locations of the ground station, LEO satellite, and airborne interference source are converted from WGS84 to ECEF, and the transformation matrices (6) and (7) can be used to obtain the ENU coordinates where the ground station is the origin. P s and P i are the position vectors of the satellite and interference source, respectively. The relative angle difference ψ can be derived by calculating the dot product of the two vectors using Equation (8).
P s = [ x E s y N s z U s ] = [ sin λ g cos λ g 0 sin ϕ g cos λ g sin ϕ g sin λ g cos ϕ g cos ϕ g cos λ g cos ϕ g sin λ g sin ϕ g ] [ X s X g Y s Y g Z s Z g ] ,
P i = [ x E i y N i z U i ] = [ sin λ g cos λ g 0 sin φ g cos λ g sin φ g sin λ g cos φ g cos φ g cos λ g cos φ g sin λ g sin φ g ] [ X i X g Y i Y g Z i Z g ]
ψ ( ° ) = 180 π cos 1 ( ( P s P i ) | P s | | P i |
Figure 3 shows the radiation pattern of a ground station antenna with a parabolic reflector and rectangular feed horn. The bore-sight gain G r g (ξ = 0°) of the antenna is 59 dBi at 8 GHz. The blue solid line indicates the radiation pattern obtained using the GO and PO methods. The GO method is used to model the antenna, focusing inside the reflector, and the PO method is used to calculate the scattering on the reflector surface by considering the current distribution on the surface [15,16,17,18,19,20]. By combining these two methods, the ground station antenna radiation pattern can be calculated. The parabolic diameter of the ground station antenna is 11.3 m, and a feed horn antenna with rectangular aperture is employed. Since sidelobe gains exhibit large fluctuations according to angle, we apply a regression model in order to more easily observe the tendency of the J/S ratio. The regression model is based on the exponential Equation (9):
G r s ( ξ ) = a 1 e b 1 ξ + a 2 e b 2 ξ ,
where a1 (= −31.5817), a2 (= 36.7337), b 1(= 0.0046), and b2 (= −0.0682) are the coefficients that best fit the point, shown as the red solid line. To determine the sidelobe gain, we apply the ψ obtained from Equation (8) to Equation (9). All scenarios for downlink with airborne interference sources are simulated using Equations (1)–(5). Detailed simulation parameters are given in Table 1.
Figure 3. Radiation pattern of the ground station antenna with regression model.
Table 1. Parameters for the downlink simulation.

4. Conclusions

We analyzed LEO satellite downlinks under interference situations when airborne interference sources move parallel to the LEO satellite trajectory by considering relative angle differences between satellites and interference sources. To make interference situations more like actual environments, the LEO trajectories were obtained from TLE data. Airborne interference sources with various altitudes moved parallel to the satellite trajectories, and the J/S ratio was calculated according to the relative angle differences between the ground station, satellite, and interference source. In order to calculate the relative angle difference ψ, the satellite and interference source coordinates were converted from the WGS84 to the ENU coordinate system. By applying the relative angle difference ψ, we obtained the sidelobe gain of the ground station antenna in the direction of the interference from the ground station antenna. Through a comprehensive link budget analysis, the J/S ratio was found to be 22.5 dB higher in Trajectory 3, where the relative angle difference ψ was small compared to the other trajectories. These results showed that the relative angle difference ψ is more important in the J/S ratio than the distance between the ground station and the interference source or satellite.

Author Contributions

Conceptualization, H.C. and E.K.; methodology, E.K., J.K. and H.C.; software, E.K.; validation, E.K., J.K. and H.C.; formal analysis, E.K. and H.C.; investigation, E.K.; resources, E.K. and H.C.; data curation, E.K. and H.C.; writing—original draft preparation, E.K.; writing—review and editing, E.K., J.K., Y.P. and H.C.; visualization, E.K. and H.C.; supervision, H.C.; project administration, Y.P.; funding acquisition, H.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Agency for Defense Development (UI210013YD).

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

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