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In that location is no defined common process for constellation design since it is a process that varies significantly with the mission objectives. During constellation design, the preferred solutions are those that satisfy the mission requirements while minimizing the overall cost of realizing the mission. As a consequence, information technology is desired that a minimum number of satellites be employed to accomplish the mission objectives. Some other important cost gene is the number of orbital planes utilized. Placing satellites on significantly differing orbital planes require multiple launches that increases launch cost and complicates the launch sequence. The main input for constellation design is the geographical areas that demand to exist covered and how frequently they needs to exist covered. Quite often a mission requires global coverage and sometimes continuous global coverage.

This article describes key parameters that a constellation designer needs to consider and their trade-offs. Also, we volition describe the steps involved in designing a oftentimes used constellation geometry: The Walker Delta Constellation.

How it began

The Space Historic period began with the launch of Sputnik-one, world'south first Bogus Satellite, on October 1957. The commencement of Space Historic period created a rapid demand for infinite-based applications, mainly in areas of navigation, communication and observation. The idea of satellites functioning in a coordinated manner came upward in 1958. The synchronized behaviour by a group of satellites, known as a satellite constellation, provides significant improvement in temporal and spatial coverage. The importance of satellite constellations cannot be overstated.

The first constellation called the TRANSIT was developed past the US Navy in 1960 to provide navigational assistance to their ballistic missiles. Since and so, the developments in satellite constellations was propelled by its wide applicability. Satellite constellation design is often misrepresented as a mere act of replicating multiple copies of a single satellite in modified orbits. The satellite constellation pattern process is somewhat akin to developing a multicellular organism with each cell representing a satellite. The infinite number of choices for the half-dozen Keplerian orbital parameters make the constellation pattern extraordinarily difficult. Various constellation geometries were proposed to reduce this complexity. The well-nigh notable constellation geometry is the Walker-Delta constellation proposed past John Walker in 1970. Walker's geometry made the orbital parameters dependant on one another in a item style, thereby reducing the complexity. Walker-Delta technique provides the virtually symmetric geometry among all the constellation design techniques. Thus, it is most suitable for global coverage for several applications related to earth-ascertainment. Off tardily another technique, called the `flower constellation' technique adult at Texas A&Grand Academy, is becoming pop which can address cases where simply local coverage is desirable. In fact, flower constellations can provide "repeating ground rail" orbits which are not restricted to an inertial plane, thus widening the varieties of satellite constellation. Even so, detailed discussions well-nigh blossom constellations volition be deferred for a later article.

Designing a Satellite Constellation

At that place are no definite rules for designing a satellite constellation. The parameters defining a satellite constellation are 'mission dependant'. Generally all the satellites in the constellation have similar distance profiles, eccentricity and inclination so that perturbations bear on the satellites in the same way and the geometry can be preserved without much station-keeping. The main factors to be defined while designing a Satellite Constellation are listed beneath.

Table: Parameters to exist considered during Constellation Pattern

Parameters Mission Impacts
Number of Satellites Affects the coverage and the primary cost
Number of Orbital Planes Varies based on coverage needs. Highly advantageous to have minimum number of orbital planes every bit transfer between the orbits increases the launch, and transfer costs.
Minimum Elevation Angle Must exist consistent with all satellites. Determines the coverage of unmarried satellite.
Distance Increasing the Distance increases the coverage and the launch, transfer cost.

Decreases the number of Satellites. For communication applications, increase/decrease in distance can correspondingly change latency.

Inclination Determines the latitude distribution of coverage and selected based on coverage needs.
Plane Spacing Compatible plane spacing results in continuous basis coverage.
Eccentricity Circular orbits are popular, because then the satellite is at a constant distance requiring a constant strength signal to communicate. For some cases, elliptic orbits are chosen where nosotros need satellites to stay over a particular region for longer duration. Tundra and Molniya orbits are two such examples.

Apart from the half dozen orbital parameters and the ones mentioned above, one important design consideration is standoff avoidance. Apart from loss of mission, collision between satellites in the constellation or between other existing satellites will result in space debris which might take a devastating issue on the other satellites, like information technology was depicted in a contempo movie `Gravity'. The most unfortunate instance is the collision between Iridium 33 and Kosmos 2251 on February 2009. This resulted in millions of minor droppings, most of which notwithstanding orbit the Globe. To preclude unnecessary space droppings, nosotros also require a well defined 'cease of life strategy'. Typically, at end of life,  satellites are either de-orbited or transferred to graveyard orbits (suitable for satellites in geostationary orbits).

Footing trace of a satellite with half-cone bending theta. The trace shown is round, only in practice since world is spherical and not flat, the trace could exist more elongated at the edges.

Figure higher up shows ground trace for a typical advice satellite. The footing trace (shaded expanse) is round with radius \lambda_{max} and is subtended by a cone with one-half angle \theta. The continuous coverage often called the street of coverage is represented by because a chordal range of \lambda_{street} on both sides of the footing trace (causeless circular), as shown in effigy below. The adjacent orbits should be decided such that the bulges of ane orbital plane fills the dips of the other orbital airplane. Hence to guarantee continuous coverage the maximum distance between side by side orbit planes D_{max} tin be selected as

D_{max} = \lambda_{street} + \lambda_{max}.

Coordination Pattern (reference : JMUW internal material)

As one can guess, coverage increases with the increment in number of satellites or with the increase in altitude. However this too increases the principal and launch costs. Hence at that place exists a trade-off between coverage and mission cost.

Let us consider a satellite constellation at altitude k km with an inclination of 45° and in round orbits. Let information technology have two orbital planes with iv satellites in each airplane. The graph below shows the variation in coverage with the variation in number of satellites. Hither the ground final pinnacle mask is set at ten°, which ways that the footing final tin can see the full heaven except ten° from the horizon.


The variation in coverage vs altitude, with the total number of satellites stock-still at 8 is shown below. The values of coverage is estimated using the software SaVi.

We can clearly encounter that the coverage increases significantly with the increase in Distance. The downside of using satellites at higher altitude apart from the launch cost is the increase in power needs for data manual and longer bespeak propagation periods (higher latency).

Coverage by a LEO Constellation

In contrast to Geostationary satellites , many LEO satellites are needed to provide continuous coverage over an area. Yet satellites in Low Earth Orbits enjoy the benefits of shorter distance to the Earth's surface. The key advantages of using LEO constellation are listed below.

  • Shorter signal propagation periods (low latency). The minimum theoretical latency for LEO satellite is 1-four milliseconds whereas the latency for GEO satellite is 125 milliseconds.
  • Lower ability needed for data transmission and instrumentation
  • Amend resolution for imaging applications, and likewise for other earth-observation applications.

The loftier velocities of LEO satellites relative to the surface imply short contact periods to ground stations and brusque observation periods of specific surface areas by a unmarried satellite. Hence several satellites in appropriate complementary orbits are necessary to provide continuous coverage.

Walker-Delta Constellation

A frequently used blueprint technique is the Walker-Delta pattern constellation for a global coverage of the World's surface by a minimum number of satellites in circular orbits. The Walker constellation is denoted by a notation

i: t/p/f

where

  • i : inclination
  • t : total number of satellites
  • p : number of as spaced orbit planes
  • f : relative stage difference betwixt satellites in adjacent planes

A Walker-Delta pattern contains of total of 't'satellites in 'p'orbital planes with s=\frac{t}{p}  satellites in each orbital airplane. All orbital planes are assumed to exist in aforementioned inclination 'i' with reference to the equator. The stage difference between satellites in adjacent plane is defined as the bending in the direction of motion from the ascending node to the nearest satellite at a time when a satellite in the next most westerly plane is at its ascending node. This is illustrated in figure below. In order for all of the orbit planes to accept the aforementioned phase difference with each other, the stage deviation betwixt adjacent satellites must exist a multiple 'f' of \frac{360^\circ}{t} , where 'f' can exist an integer between 0 to p – 1.

Designing a Walker-Delta Constellation

After defining the number of satellites, number of orbital planes, semi major axis and inclination, specific to the mission, the true anomaly and the correct rise of ascending node tin be calculated using the spacing rule divers by John Walker. The eccentricity and argument of perigee can be ignored as most Walker constellation orbits are round. The steps involved in designing a Walker constellation are simplified and listed beneath.

  1. Summate the number of satellites needed to satisfy the mission requirements , 't'.
  2. Select the number of orbital planes that provide maximum coverage and at the same time obeys the specified cost constraint, 'p'.
  3. The ascending node of the 'p' orbital planes should be as distributed around the equator at intervals of \frac{360^\circ}{p}.
  4. Define the number of satellites per aeroplane, s = \frac{t}{p}.
  5. Within each orbit plane, 's' satellites should exist equally distributed at interval \frac{360^\circ}{s}.
  6. The spacing betwixt the satellites in side by side planes should exist 'f' multiplied by spacing betwixt the satellites in a orbit plane [(i.e) \frac{360^\circ}{s}.] divided by the number of orbital planes.
  7. Spacing (angular) betwixt satellites in adjacent planes = f \times \frac{360^\circ}{s \times p}.

Walker-Delta constellation pattern is a milestone in constellation design procedure just information technology should be noted that information technology is one amongst the various options available and does non necessarily provide the all-time characteristics for a given mission. For further reading about Walker-Delta constellation, see here and here.

Galileo Constellation

A famous case of Walker-Delta Constellation is the Galileo constellation. The satellites are placed as a 56°: 27/3/1 constellation, having 27 satellites in orbit, placed in 3 orbit planes separated past 120°. The distance of the constellation is 23,222 km. The orbital planes are at an inclination i = 56° and hosts ix satellites at an angular distance of forty° in a plane. The phase shift betwixt adjacent orbits is f \times \frac{40^\circ}{3} = 13.33^\circ .  The Galileo constellation has been optimised and its orbital parameters are chosen in such a style that it provides continuous global coverage.

The Ground traces (light-green and pinkish in color) of two Galileo satellites (marked as two dots) are highlighted in the effigy below.  The figure as well shows the orbit of the 2 satellites forth with their directions.

Conclusion (A New Beginning)

Satellite constellations provides effective solutions for the skyrocketing demands in numerous fields. A breakup of various parameters influencing a satellite constellation has been presented in this article. The selection of advisable values to these parameter are limited to the mission needs and to the constellation designer. As a issue of complexity in the blueprint process, even afterwards 50 years, the constellation design process is all the same considered to be in it's babe phase. The time proven simplified constellation geometries and design processes have reached a plateau and no longer satisfy the modern mission needs. This has created a demand for new benchmarking processes. Numerous researches are being carried out in this field and one could wait catholic advancements in the near future.

Report carried out by Raja P, Intern at Astrome Technologies.

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Source: https://astrome.net/blogs/the-art-of-satellite-constellation-design-what-you-need-to-know/

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