True range multilateration

True range multilateration is a way to figure out where something is - like a toy robot or a lost dog - by using several different measurements. Imagine you're trying to find your lost dog in a big park. If you have a map of the park, you might be able to figure out where your dog is by looking at the landmarks and features on the map. But you might not always have a map, or the landmarks might not be very helpful.

That's where true range multilateration comes in. Instead of using a map, you use a bunch of different measurements to pinpoint the location of your dog. These measurements might come from things like GPS satellites or radio towers. Basically, each measurement gives you a little piece of information about how far away your dog is from that particular point.

But just knowing the distance isn't enough - you need to know which direction your dog is in as well. So you need to do this for several different points, and then use some math to figure out where your dog is based on all the measurements you've collected.

It's kind of like playing a game of "hot and cold" - each measurement helps you get closer to your lost dog, until eventually you can find them. True range multilateration is a way to use math and technology to play an extremely accurate and sophisticated game of "hot and cold", and find things even if you don't have a map or other landmarks to go by.