How to Design a Counter Drone Jammer PART II 04

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  • Опубліковано 30 січ 2025

КОМЕНТАРІ • 8

  • @FernandoShadow-od9zd
    @FernandoShadow-od9zd 7 місяців тому

    Thanks Shawn and regards. Please provide a video about anti arm active decoy for radar protection. Thanks very much

  • @lashardgriffin5433
    @lashardgriffin5433 Місяць тому +1

    Shawn, I think this is absolutely genius! I would like to talk with you about your software and how to acquire and train to utilize it. I’m very interested in creating something to help deter drones from my area.

    • @skyindustries
      @skyindustries  Місяць тому

      I believe I can help you with that, I'd like to understand your problem better. There is so much guesswork applied in this area, what's needed is proper engineering. Message me, shawn.charland@skyindustries.com.

  • @graymadden8707
    @graymadden8707 3 місяці тому

    Is there a commercially available software to run these models/calculations?

    • @skyindustries
      @skyindustries  3 місяці тому +2

      I had to build everything from scratch: propagation model, model management application, data configuration management application, data analysis/inspection application, user interface, the whole smash. Send me an e-mail if you are interested in it, shawn.charland@skyindustries.com

    • @-r-495
      @-r-495 23 дні тому

      import math is what I would do first in a Python script.
      Examples of its use for such calculations can be found by searching for "Chapter 3: Radio Propagation and Propagation Path-Loss Models Python“.
      U/I is another part, but the math is available in all programming languages and platforms.
      There may be js implementations of it out there too.

  • @IainMcClatchie
    @IainMcClatchie День тому

    He's describing a Monte Carlo simulation.

    • @skyindustries
      @skyindustries  День тому

      Yes that's right.
      I'd call it a "smart" or "modified" Monte Carlo simulation; it's necessary to exclude physically inadmissible runs from the population for each test case.
      Inadmissible runs arise when simple run-by-run parameter randomization results in an unfortunate combination which can't happen in the real world, so those ones don't belong in the population.
      This can happen when parameters are inter-dependent, for example when the value of parameter 1 can vary between value A and value B, but depends on the value of parameter 2. The pdfs are conditionally linked.
      Solution: in missile simulations, make sure all the missiles pass Quality Control! That they can all hit a target I mean.