Simulation is the next best thing to the real world How else can you built something if you haven't design something. So you create a virtual model or mathematical model in the computer and subjected it to whatever element your model will experience in real life
So going back to the Indian simulation . They know the number of Satellite that China have launched . They can calculate the orbital path of the satellite.Using both the number and path and characteristic of the path ,They can calculate the coverage and using triangulation and accuracy of the Chinese satellite . They can accurately predict if the Chinese can find CBG in pacific.
The issues and variables that go into the tracking algorithm are extremely complex and hence the simulation results are very much subject to the parameters of the modelling itself. For example, the variables may include the average length of time that a single target could be tracked—the mean track life. Under a range of conditions using a simple statistical tracking model developed by consulting firm Booz Allen Hamilton (BAH), the BAH model assumes that a target moves randomly and that other, similar-looking targets are nearby that may be confused with the intended target. Uncertainty exists about both the position and velocity of the target; the amount of uncertainty depends on the performance of the satellite and its radar as well as on the unpredictability of changes in the (assumed) random movement of the target. As the model simulation progresses, the uncertainty can build, making it increasingly difficult for a tracking algorithm to separate the real target from the “confusers.” In reality, targets do not move randomly. More-sophisticated tracking algorithms can take advantage of that fact and even use particular aspects of the radar return to help identify the correct target. However, modeling that type of algorithm requires extensive knowledge about its design as well as a detailed scenario including ECM.
The BAH tracking model uses various inputs:
*Mean access time,
*Mean gap time between access periods,
*Revisit interval,
*Confuser density (the number of objects other than the desired target that the radar might detect),
*The radar’s probability of detecting an object (
PD),
*Target location error (the range over which the target’s location could vary), and
*Target velocity error (the range over which the target’s velocity could vary).
You then take the BAH model in a series of Monte Carlo simulations to estimate the range of possible mean track lives for the access periods afforded by the various alternatives, given reasonable ranges for the inputs listed above. You then assume a constant or range of
PD and a revisit interval. As input for the Monte Carlo simulations, you then take the range of values that it calculated in the area-coverage analysis for the duration of each target access period, gap times between those periods, and signal-to-noise ratio (which affects
PD and target location error). You then have a generated distributions of those parameters under the conditions required for observing a moving target with a given radar cross section of say “X” square meters and a velocity of “Y” meters per second. You then have to assume a nominal target location accuracy in the range direction; plus target location accuracy in the cross-range direction estimated from the signal-to noise ratio using published relationships.
The mean track life itself would range depending on a number of variables :
- Constellation profile and capabilities (including orbital height);
- Signal processing capabilities
- Satellite yaw angle while scanning
All of the above variables would generate for you is a probability ratio and that is what the simulation is meant to provide and should be understood in that context. Unfortunately that report did not even publish a probability ratio but just made a leap in concluding that the constellation can locate and track an aircraft carrier after outlining some variables in their simulation.