It might be interesting, when (what day) those notches were made. Maybe someone prepared the fence a few days before to give a rabbit hole for investigation. It cannot be excluded.
Just came across interesting info. Thereās actually equipment used by armies to detect gunfire direction and range by using sound. Pilar (france) and Boomerang (USA). Basically a vehicle mounted set of microphones captures sound, filters out unwanted noise and displays range and direction on a display inside the vehicle. Apparently a company called QinetiQ also had an individual portable device called IGD, which had the same intended purpose.
James Barger patent lots of formulas here
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Very interesting. Thanks for sharing. Sounds like something USSS counter-snipers should have in their bag of goodies. You know the one, the bag with āyesterdayās technology today.ā
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You made good reply. (So according to your information we would have to go back 0.27 sec to see the āvisual shotā.)
However, light and sound speed question:
The time for rifle bolt to fully eject casing compared to sound of shot??
the person (dan***)you answered said the āactionā would be āseenā before sound.
but the sound is at end of barrel(?) while there is a delay (fractions of second) for gases to push bolt back and eject round. (and said round to be visible).
would the sound be that far behind the ejection?
Did you say you saw recoil of shooters shoulder?
Maybe I am confused about your discussion.
Not as useful for sniper (after shot is too late)??
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I agree considering the Butler scenario (and other scenarios with actual first shot hits). However, whitout the benefit of hindsight, such an equipment seems nice to have when you donāt know what kind of engagement you might encounter. Anyway, the formulas on the patent are useful to us. Plus, the existence of a DARPA approved equipment using sound/TDOA, etc attests to the validity of the approach (ranging and locating with sound).
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True, but if Plan A fails (spotting the shooter) itās good to have a Plan B (geolocating the shooter.)
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3 microphones would be enough if we knew the speed of sound. But we donāt, so there must be a 4th equation. And some additional mics are useful to increase the projection accuracy. It would be a simple matrix calculation if the bullet was far enough from the mics. That should be replaced by partial linear regression.
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Well, I havenāt read the patent to try to wrap my mind around it (at the detail level itās beyond me), so I just looked through it enough to see if there could be any anything useful. Once I saw the formulas, I couldnāt not post the patent link, knowing we have math expert Columbos on the forum . 
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Here is the latest update (v4) of TMX positions.
I manage to find TMX on Source 4 and DJstew footages at 10th bullet.
I manage to theoretically find āthe stickā at first bullet on TMX footage.
Here are the superimposed footages used to find the stick.
Here are the locations on Google Earth:
| ref | Longitude | Latitude |
|---|---|---|
| TMX_v4 bullet 1 | 586736.01 | 4523499.74 |
| TMX_v4 bullet 2 | 586734.23 | 4523500.61 |
| TMX_v4 bullet 3 | 586733.23 | 4523501.04 |
| TMX_v4 bullet 4to9 | 586727.26 | 4523504.62 |
| TMX_v4 bullet 10 | 586721.14 | 4523512.57 |
| stick | 586737.47 | 4523498.21 |
Here are all the frames used from TMX with times after 1st bullet report.
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@vt1 the estimates keep getting ābetterā by my definition. I am working from the assumption that shots 1-3 should have consistent timing and shots 4-8 should have consistent timing (once we get there we can decide whether the two groups are consistent with each other or not). Just to give you an idea, for stationary sources, these two groups of bullets each have internal timing consistent to half a foot or less with the podium, but I doubt you will get there. Given how fast these two sources below were moving, we are close!
I donāt want you to make any corrections to the data that arenāt justified by what you see, so I wonāt tell you magnitude or sign, but for TMX-v4, I see bullet 2 and 3 consistent, but bullet 1 out a bit from those. And for shots 4-8, I see shot 7 a bit out of line with the rest.
For source 4, things are looking pretty good, except shot 3 is out a bit and there is a slow walk in the data for shots 4-8.
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thanks for this clip (loop)
Agreed,
Technology exists to block transmissions and disrupt RF. The loop holes in security at both attempts (golf course) imply outside help.
But that is the elephant in room. Iran* has put out video of assassination capabilities, that are impressive. (remote care carrying a drone)**
- or C eye A
** seen on Benney Johnson show-
DOJ Releases Trump Assassination BOUNTY Of $150K to āComplete The Jobā | Feds Trying To KILL Trump (rumble.com)
appreciate this loop, not 100% convinced.
Thank You for reply
I found the stick on another video.
This is 3m to the West from my first stick geolocation.
I will have to correct geolocation for Bullet 1, 2 and 3.
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@vt1 , you found the elusive stick that I mentioned a couple weeks ago! Well done.
What I thought was a metal sign post is actually the boom of one of the flag cranes, isnāt it?
Iāll be happy to give the new coordinates a try in my TDOA model as soon as you provide them.
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Here it is:
| ref | Longitude | Latitude |
|---|---|---|
| TMX_v5 bullet 1 | 586733.37 | 4523500.71 |
| TMX_v5 bullet 2 | 586732.11 | 4523501.36 |
| TMX_v5 bullet 3 | 586731.63 | 4523501.69 |
| TMX_v4 bullet 4to9 | 586727.26 | 4523504.62 |
| TMX_v4 bullet 10 | 586721.14 | 4523512.57 |
| stick_v2 | 586734.04 | 4523499.10 |
Bullet 1 is more precise then bullet 2 and 3 because of the closeness to the actual frame I could geolocate.
I used every possible information like the size of the fence grid (from 2" to 2.25") to calculate the angle and distance to the footage frame.
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I have just published my latest TDOA data and results (v4.0) on Brianās file server here:
greg_n Files
If the new TMX locations from @vt1 result in significant improvement, I will produce an updated version of the files (v4.1)
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@vt1 , the level of effort you have put into image-based geolocation is impressive! I tried your v5 Shot 1 location for TMX in my TDOA model. After making the appropriate location tweaks for shots 8 and 9 (to achieve hyperbola convergence), the end results arenāt significantly different from what I got using 586732.48, 4523501.59 for the shot 1 position (a 1.25 m difference). So, Iām not going to produce a v4.1 of my results at this time.
Of the seven sound recorders that I have analyzed, TMX has definitely proved the most troublesome. I have tried dozens of movement tweaks, and nothing has resulted in excellent results for all 10 shots. If the quality of the TMX sound recording wasnāt so good, I probably would have just given up on it.
While the TDOA results Iāve ended up with at this point arenāt quite as good as I had hoped for, Iām still pretty happy that I got as close as I did, and Iām going to give it a rest for a while.
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