radar range resolution and uncertainties

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radar range resolution and uncertainties

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radar range resolution and uncertainties - 5/20/2020 9:28:54 PM

gosnold
Matrix Trooper

Posts: 233
Joined: 7/10/2013
Status: offline

I have some questions on how the uncertainty is computed for radar sensors. Since the twitch stream on satellite operations mentioned Kalman filters as a possible future addition, I played around with a singe radar to see what the uncertainty looks like, and here is the result:
https://imgur.com/a/JU7z8SQ

The radar gets a first rough fix, then it gets refined on the 2nd and 3rd pings, then at the fourth ping it gets rough again.

What seems strange to me is that the resolution is not much better in the range direction than in the cross-range direction: I used a Nebo Uye radar which according to the db has a range resolution of 0.03 (nm I assume?) and a angular resolution of 1.2 (° probably), but that does correspond to what I see when running the scenario. Is that expected?

Note that if a very accurate range resolution were modelled, that would mean that with two radars you would get a very accurate fix on the position of a target by fusing the estimates, even if they have very poor angular resolution, and thus would be able to engage with SAMs since there would be no position ambiguity. That seems a bit too powerful for an old radar network, which would not be able to fuse the detections.

Post #: 1

RE: radar range resolution and uncertainties - 5/21/2020 12:03:11 PM

Struan76
Matrix Recruit

Posts: 36
Joined: 9/3/2019
Status: offline

Kalman filters smooth the position errors in INS -- they aren't used for radar resolution (apologies if you know this!!).

Radar detection is always a probability - there are too many variables in an environment for a pulse to detect range with absolute certainty. The game seems to have a fairly robust radar model (the references are in the Credits in the Help menu). For example most modern radars have probability of detection around 90% (ie 10% of returns will be false or ambiguous). Sensor fusion takes huge amounts of processing power. It's only now becoming available in a 'missionised' size.

The best reference is Stimson's 'Airborne Radar' ... good luck finding a copy!

(in reply to gosnold)

Post #: 2