This has become my new favourite TH-cam channel! The detail is amazing! I was a Radar Plot in the RAN back when we still had to do all the tracking and calculations manually. The longer the run, the more accurate the track. Very similar to what you describe here.
This was a really interesting video, and you did a general breakdown very well. Maybe next along the same theme you can do one on electronic countermeasures or something.
Electronic warfare is on the radar (pun intended), but requires very careful research if I want to say something that is not obvious or speak about the chaffs in WWII. It will come, at some point.
@@Millennium7HistoryTech thank you but, just this will be not enaugh, because i don't know how the four samples work and act to lock the missile while target is moving to some direction.
Honestly, in the video I explain the general idea, the algorithms and the filters. The four samples I was mentioning months ago are just one of the possible scan patterns and I used that image to explain the concept. If this video is not clear enough, honestly, I am sorry, but I am out of ideas.
Thank you so much for your absolutelly fantastic video, very informative. Today I made a presentation at my university (electrical engineer) about the Kalman filter and its aplications. Your video was my inspiration.
Some corrections, the kalman filter is not used when the missile is getting close to the target as the kalman filter is awful when it comes to filtering values which are moving. However, they do use rolling average a lot which is mixed into the kalman filter but the kalman filter gets turned off when the missile gets within a certain range to increase accuracy
The missile knows where it is at all times. It knows this because it knows where it isn't. By subtracting where it is from where it isn't, or where it isn't from where it is (whichever is greater), it obtains a difference, or deviation. The guidance subsystem uses deviations to generate corrective commands to drive the missile from a position where it is to a position where it isn't, and arriving at a position where it wasn't, it now is. Consequently, the position where it is, is now the position that it wasn't, and it follows that the position that it was, is now the position that it isn't. In the event that the position that it is in is not the position that it wasn't, the system has acquired a variation, the variation being the difference between where the missile is, and where it wasn't. If variation is considered to be a significant factor, it too may be corrected by the GEA. However, the missile must also know where it was. The missile guidance computer scenario works as follows. Because a variation has modified some of the information the missile has obtained, it is not sure just where it is. However, it is sure where it isn't, within reason, and it knows where it was. It now subtracts where it should be from where it wasn't, or vice-versa, and by differentiating this from the algebraic sum of where it shouldn't be, and where it was, it is able to obtain the deviation and its variation, which is called error.
@@rogeronslow1498 This is an old copypasta, probably originating from a US-Air Force training video. I went looking for it immediately when I watched this video.
Can you make a video about NASAMS II, it is really interesting about using active radar homing AA missiles in air defense role. Nice videos you have, buy the way. Greetings.
So, The missile knows where it is at all times? It knows this because it knows where it isn't. By subtracting where it is from where it isn't, Or where it isn't from where it is (whichever is Greater), it obtains a difference, or deviation. The guidance subsystem uses deviations to generate corrective Commands to drive the missile from a position where it is to a Position where it isn't, And arriving at a position where it wasn't, it now is. Consequently, the position where it is, Is now the position that it wasn't, And it follows that the position that It was, is now the position that it isn't. In the event that the position that it is in is not the position that It wasn't, the system has acquired a variation, The variation being the difference between Where the missile is, and where it wasn't. If variation is considered to be a Significant factor, it too may be corrected by the GEA. However, the missile must also know where it was. The missile guidance computer scenario works as follows. Because a variation has modified some of the information The missile has obtained, it is not sure just where it is. However, it is sure where it isn't, Within reason, and it knows where it was. It now subtracts where it should be from where it wasn't, Or vice-versa, and by differentiating this from the algebraic sum of Where it shouldn't be, and where it was, It is able to obtain the deviation And its variation, which is called error?
Thanks, I think 😥 Yo! Does this also apply to the location of physical particles, including, but not restricted to sub-atomic, this being in the context of all physical 'things'/manifestations being merely indicators ('signitura reram') of esoteric/spiritual reality? 'Just thinking out loud..
The missle knows where it is because it knows where it isn't. By subtracting where it is from where it isn't or where it isn't from where it isn't from where it is...
There are better ways to predict non linear trajectories like "supermaneuverability" for example recurrent neural networks RNN, a while ago I saw a research paper that compared RNNs and Kalman filter for trajectory prediction and overall RNNs had lower error. RNNs were also significantly better when they tried to predict multiple steps into future.
Guess we're still several (technology) generations away from having truly smart sensor-image-processing to see with undisputed resolution and clarity where the real target is and heading towards. Like the eye-brain coupling of predator animals.
Russian vectored thrust planes are still restricted by the g‘s they can put on the airframe. Maybe they can do a cobra at 200kn but they arent moving fast and the refresh rate of the radar can keep up. They certainly wont do this at or above mach 1 where you‘d want to be evading a missile.
I had much better results in my flight tests with my self-programmed advanced complementary filter than with the Kalman filter. My results were much more accurate and the calculation time is much faster. However, since microcontrollers got much faster, I would suggest that combining both types of filters is much more accurate. And since AI is available to almost everyone, the whole task has become enormously easier.😉
Great explanation, thank you. On time frame of 11:13 how would we be able to identify the characteristics of our radar? I mean what need to be considered in order for us to project the red shape (our equipment) that intersect the original estimate in blue shape? Also who would insert this red area over the blue area? Would it be us human doing that or the Radar electronics?
This depends on radar resolution, wich is determined by antenna gain and the frequency used as well as the electronics manipulating the signal. You could use static values but i dont think that would be particularly useful considering most radars utilize multiple frequencies and electronic circuits
In time frame 11:47 how about feeding more lobes say feeding red over blue, then feed another area and one more until we narrow down the plot to smallest area possible? What other parameters could be provided for this task?
but since when does this apply to missiles, dont they just "lock" their target. Therefore only tracking one object at a time and because of that getting highly frequent data on the position and velocity.
The guidance systems of missiles have limitations, and so do the missiles themselves. Both heat seeking and radar guided missiles have a limited 'cone' in which the can track and lock on to a target. They can't see behind or beside themselves, they can only see forward. If the target flies out of that cone, the lock is lost. The missile itself has maneuverability limitations too. During the Vietnam war pilots frequently 'dodged' ground to air missiles by watching them coming up, and then making a hard turn when the missile got close. The missiles tried to follow the target, and ended up tumbling through the air, missing their 'locked' target and unable to reacquire lock (or regain normal flight.) This is an inherent limitation, since the missile must fly much faster than the aircraft in order to intercept it, and the higher speed means even small corrections create high g maneuvering requirements, frequently exceeding the missile's capability. High speed super-maneuverabity missiles might be the answer that problem. Which might be countered by high G UAVs. Which might be countered by ... etc, etc, etc.
Subscribe, hit the bell and support me on Patreon! www.patreon.com/Millennium7
Followed you.
This has become my new favourite TH-cam channel! The detail is amazing! I was a Radar Plot in the RAN back when we still had to do all the tracking and calculations manually. The longer the run, the more accurate the track. Very similar to what you describe here.
Nice Intuitive explanation of the Kalman filter, a game changer in control theory and practice. Sharing the video and subscribed (with bell)
This was a really interesting video, and you did a general breakdown very well. Maybe next along the same theme you can do one on electronic countermeasures or something.
Electronic warfare is on the radar (pun intended), but requires very careful research if I want to say something that is not obvious or speak about the chaffs in WWII. It will come, at some point.
Yes I do want to know about counter measure
Thank you sir for uploading such a video about missile senser, which will increase our knowledge!
This video replies to your question. It was planned for quite long down the line but I brought it forward.
@@Millennium7HistoryTech thank you but, just this will be not enaugh, because i don't know how the four samples work and act to lock the missile while target is moving to some direction.
Honestly, in the video I explain the general idea, the algorithms and the filters. The four samples I was mentioning months ago are just one of the possible scan patterns and I used that image to explain the concept. If this video is not clear enough, honestly, I am sorry, but I am out of ideas.
This kind of channel is what I am looking for. Subs immediately.
Great Videos Sir. Thank you for making them.
Thank you so much for your absolutelly fantastic video, very informative. Today I made a presentation at my university (electrical engineer) about the Kalman filter and its aplications. Your video was my inspiration.
Some corrections, the kalman filter is not used when the missile is getting close to the target as the kalman filter is awful when it comes to filtering values which are moving.
However, they do use rolling average a lot which is mixed into the kalman filter but the kalman filter gets turned off when the missile gets within a certain range to increase accuracy
wow I didn't know. very interesting. technology has really advanced. Your new friend here
All your video are fantastic..l love them thanks great work
Love your channel and so well explained.Sufficiently detailed.
Glad you enjoy it!
This is very good.
im mesmerised by how his hair moves..... so bouncy.
The missile knows where it is at all times. It knows this because it knows where it isn't. By subtracting where it is from where it isn't, or where it isn't from where it is (whichever is greater), it obtains a difference, or deviation. The guidance subsystem uses deviations to generate corrective commands to drive the missile from a position where it is to a position where it isn't, and arriving at a position where it wasn't, it now is. Consequently, the position where it is, is now the position that it wasn't, and it follows that the position that it was, is now the position that it isn't.
In the event that the position that it is in is not the position that it wasn't, the system has acquired a variation, the variation being the difference between where the missile is, and where it wasn't. If variation is considered to be a significant factor, it too may be corrected by the GEA. However, the missile must also know where it was.
The missile guidance computer scenario works as follows. Because a variation has modified some of the information the missile has obtained, it is not sure just where it is. However, it is sure where it isn't, within reason, and it knows where it was. It now subtracts where it should be from where it wasn't, or vice-versa, and by differentiating this from the algebraic sum of where it shouldn't be, and where it was, it is able to obtain the deviation and its variation, which is called error.
You should be a politician.
@@rogeronslow1498 This is an old copypasta, probably originating from a US-Air Force training video. I went looking for it immediately when I watched this video.
Would y’all stop saying this BS that you heard on a video trying to sound smart 😂🤦🏼♂️
Can you make a video about NASAMS II, it is really interesting about using active radar homing AA missiles in air defense role. Nice videos you have, buy the way. Greetings.
Excellent video 👌
this is so cool
wow ! .. very interesting.. thanks ..
So, The missile knows where it is at all times?
It knows this because it knows where it isn't.
By subtracting where it is from where it isn't,
Or where it isn't from where it is (whichever is
Greater), it obtains a difference, or deviation.
The guidance subsystem uses deviations to generate corrective
Commands to drive the missile from a position where it is to a
Position where it isn't,
And arriving at a position where it wasn't, it now is.
Consequently, the position where it is,
Is now the position that it wasn't,
And it follows that the position that
It was, is now the position that it isn't.
In the event that the position that it is in is not the position that
It wasn't, the system has acquired a variation,
The variation being the difference between
Where the missile is, and where it wasn't.
If variation is considered to be a
Significant factor, it too may be corrected by the GEA.
However, the missile must also know where it was.
The missile guidance computer scenario works as follows.
Because a variation has modified some of the information
The missile has obtained, it is not sure just where it is.
However, it is sure where it isn't,
Within reason, and it knows where it was.
It now subtracts where it should be from where it wasn't,
Or vice-versa, and by differentiating this from the algebraic sum of
Where it shouldn't be, and where it was,
It is able to obtain the deviation
And its variation, which is called error?
fuck you
Thanks, I think 😥
Yo! Does this also apply to the location of physical particles, including, but not restricted to sub-atomic, this being in the context of all physical 'things'/manifestations being merely indicators ('signitura reram') of esoteric/spiritual reality? 'Just thinking out loud..
Dude stop regurgitating old video info…. We know
Very informative. Did you ever work in the defense industry? Cant wait to see new vids. You have a New Subscriber.
Many many years ago, when I was young.
@@Millennium7HistoryTech missles are great, the next step would be a rail gun hitting, while tracking a high velocity jet/munition.
The missle knows where it is because it knows where it isn't. By subtracting where it is from where it isn't or where it isn't from where it isn't from where it is...
Quantum radar guidance may work on stealth targeting better.
5:18 "et paf, le flight !"
There are better ways to predict non linear trajectories like "supermaneuverability" for example recurrent neural networks RNN, a while ago I saw a research paper that compared RNNs and Kalman filter for trajectory prediction and overall RNNs had lower error. RNNs were also significantly better when they tried to predict multiple steps into future.
SU57 - the unbeatable for certain
I don’t know why , but your videos are hard to understand. Your voice is very deep in tone, and gets lost in the background noise and music.
Guess we're still several (technology) generations away from having truly smart sensor-image-processing to see with undisputed resolution and clarity where the real target is and heading towards. Like the eye-brain coupling of predator animals.
The missile knows where it is. It knows that because it knows where it isn't
Russian vectored thrust planes are still restricted by the g‘s they can put on the airframe. Maybe they can do a cobra at 200kn but they arent moving fast and the refresh rate of the radar can keep up. They certainly wont do this at or above mach 1 where you‘d want to be evading a missile.
I had much better results in my flight tests with my self-programmed advanced complementary filter than with the Kalman filter. My results were much more accurate and the calculation time is much faster. However, since microcontrollers got much faster, I would suggest that combining both types of filters is much more accurate. And since AI is available to almost everyone, the whole task has become enormously easier.😉
Great explanation, thank you. On time frame of 11:13 how would we be able to identify the characteristics of our radar? I mean what need to be considered in order for us to project the red shape (our equipment) that intersect the original estimate in blue shape? Also who would insert this red area over the blue area? Would it be us human doing that or the Radar electronics?
This depends on radar resolution, wich is determined by antenna gain and the frequency used as well as the electronics manipulating the signal. You could use static values but i dont think that would be particularly useful considering most radars utilize multiple frequencies and electronic circuits
they caqnt do super menuvrability forever dont think it would trick it at all like you said the point wont change because of low eg state
In time frame 11:47 how about feeding more lobes say feeding red over blue, then feed another area and one more until we narrow down the plot to smallest area possible? What other parameters could be provided for this task?
You may or may not have just been added to a list 0-o
Very good video. Graphics could be a little more polished but were clear and intuitive. Subscribed.
Man in this video u talked only of track while scan mode. Lock on mode and rws are completely different and more used
After watching all your videos, I've learned that missiles are mostly trash. It's kinda shocking they ever work at all.
Very good videos from your channel. Thanks
what are miss isles?
Unmarried ladies with a rocket 😆
but since when does this apply to missiles, dont they just "lock" their target. Therefore only tracking one object at a time and because of that getting highly frequent data on the position and velocity.
The guidance systems of missiles have limitations, and so do the missiles themselves. Both heat seeking and radar guided missiles have a limited 'cone' in which the can track and lock on to a target. They can't see behind or beside themselves, they can only see forward. If the target flies out of that cone, the lock is lost. The missile itself has maneuverability limitations too. During the Vietnam war pilots frequently 'dodged' ground to air missiles by watching them coming up, and then making a hard turn when the missile got close. The missiles tried to follow the target, and ended up tumbling through the air, missing their 'locked' target and unable to reacquire lock (or regain normal flight.) This is an inherent limitation, since the missile must fly much faster than the aircraft in order to intercept it, and the higher speed means even small corrections create high g maneuvering requirements, frequently exceeding the missile's capability.
High speed super-maneuverabity missiles might be the answer that problem. Which might be countered by high G UAVs. Which might be countered by ... etc, etc, etc.
Battlefield 4 gives a better experience on firing heatseeking, passive radar, active radar, laser designated missiles
wow am i the only one who picks up on his phony accent..?
Its not a phony accent....