A Method For Hiding Stealthy UAVs And Dirigible Drones By Autonomously Flying Within Cloud
One challenge with stealth is electronic signatures.
Even if you can deflect or absorb radar or cloak yourself in a plume of interference or white noise, you can't very well hide yourself or your robotic forces or autonomous swarms if they are busy communicating with each other or communicating with your net-centric warfare grid.
As soon as they make a communication, there is frequency in the air and thus, an electronic signature.
Close-in units may be able to talk to each other without too much give-away, but if they are doing much of anything else, they are no longer all that stealthy, even if the enemy cannot see them.
There is an interesting paper I believe you might like to read to give you some ideas on how we might design the computer program to accomplish this simple task: "Improved Cloud Motion Wind Vector and Altitude Assignment Using VAS," by W.
P.
Menzel, W.
L.
Smith, and, and T.
R.
Stewart - from the University of Wisconsin at Madison, published way back on December 7, 1982.
The paper states in its abstract; "A CO2 cloud tracking technique to determine simultaneous heights and velocities of cloud motion winds is presented.
Using animated CO2 channel imagery from VAS, multi-level cloud situations are separated into high, middle and low level cloud motion wind vectors by the CO2 slicing method.
The VAS CO2 channel radiometric values are used in the CO2 absorption method to assign quantitative heights to the cloud vectors; cloud top pressures are determined from the ratio of the deviations.
" Well, maybe we can use that technology and the technology that NASA and the NOAA uses to collect particle pollution data to help these autonomous systems navigate in the clouds without communicating with an outside source.
Knowing the concentrations of water vapor, pollution, etc.
tells the UAV where the clouds are and are not, then it can navigate through them, and the one behind it can feed off its CO2 plume density to stay nearby.
In doing this your swarm can cloak from the enemy, and reach its target without posing any threat to being seen by radar or by actual sight.
Why not borrow technology from anywhere to help us achieve our goals for future military drone and UAV use? Indeed, I hope you will please consider all this and think on it.
(1) Cite: Menzel, W.
P.
, W.
L.
Smith, T.
R.
Stewart, 1983: Improved Cloud Motion Wind Vector and Altitude Assignment Using VAS.
J.
Climate Appl.
Meteor.
, 22, 377-384.
Even if you can deflect or absorb radar or cloak yourself in a plume of interference or white noise, you can't very well hide yourself or your robotic forces or autonomous swarms if they are busy communicating with each other or communicating with your net-centric warfare grid.
As soon as they make a communication, there is frequency in the air and thus, an electronic signature.
Close-in units may be able to talk to each other without too much give-away, but if they are doing much of anything else, they are no longer all that stealthy, even if the enemy cannot see them.
There is an interesting paper I believe you might like to read to give you some ideas on how we might design the computer program to accomplish this simple task: "Improved Cloud Motion Wind Vector and Altitude Assignment Using VAS," by W.
P.
Menzel, W.
L.
Smith, and, and T.
R.
Stewart - from the University of Wisconsin at Madison, published way back on December 7, 1982.
The paper states in its abstract; "A CO2 cloud tracking technique to determine simultaneous heights and velocities of cloud motion winds is presented.
Using animated CO2 channel imagery from VAS, multi-level cloud situations are separated into high, middle and low level cloud motion wind vectors by the CO2 slicing method.
The VAS CO2 channel radiometric values are used in the CO2 absorption method to assign quantitative heights to the cloud vectors; cloud top pressures are determined from the ratio of the deviations.
" Well, maybe we can use that technology and the technology that NASA and the NOAA uses to collect particle pollution data to help these autonomous systems navigate in the clouds without communicating with an outside source.
Knowing the concentrations of water vapor, pollution, etc.
tells the UAV where the clouds are and are not, then it can navigate through them, and the one behind it can feed off its CO2 plume density to stay nearby.
In doing this your swarm can cloak from the enemy, and reach its target without posing any threat to being seen by radar or by actual sight.
Why not borrow technology from anywhere to help us achieve our goals for future military drone and UAV use? Indeed, I hope you will please consider all this and think on it.
(1) Cite: Menzel, W.
P.
, W.
L.
Smith, T.
R.
Stewart, 1983: Improved Cloud Motion Wind Vector and Altitude Assignment Using VAS.
J.
Climate Appl.
Meteor.
, 22, 377-384.
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