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AN/APG-63 range is under-represented


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NOTE: I have provided the necessary materials and suggestion to Chizh.

 

In the materials provided, the pre-MSIP APG-63 tests show detections between 80-90nm vs a T-33, and rear aspect detection out to 30nm.

 

The current implementation in game, which is newer and more capable in theory than the original radar, has ~50-60nm head-on detection on average and ~22nm in rear aspect.

 

Could you please adjust the AN/APG-63 to at least correspond with that document? Ideally a solid detection range vs. fighters at 80-90nm head-on. The rear aspect will match up automatically (yes, I have tested this).

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They should go a step further and just give us DCS: F-15C :)

 

It would seem silly not to given that they already have the cockpit and the flight model done, plus they could reuse the basic Hornet/Falcon radar model, not to mention the engine and various other systems.

 

If they did, I'm sure they would want to refine the exterior model and the cockpit further, but still, it seems like they'd have more than half of the work already cut out for them.


Edited by Dudikoff
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  • 2 weeks later...
NOTE: I have provided the necessary materials and suggestion to Chizh.

 

In the materials provided, the pre-MSIP APG-63 tests show detections between 80-90nm vs a T-33, and rear aspect detection out to 30nm.

 

The current implementation in game, which is newer and more capable in theory than the original radar, has ~50-60nm head-on detection on average and ~22nm in rear aspect.

 

Could you please adjust the AN/APG-63 to at least correspond with that document? Ideally a solid detection range vs. fighters at 80-90nm head-on. The rear aspect will match up automatically (yes, I have tested this).

 

 

Is the 80 nm detection range in VS mode?

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I have been playing the F-15C a lot recently and confirm that it doesn't seem to pick up fighter sized targets until ~50 miles range head on aspect...

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There is a pretty good case in the public literature for larger detection ranges from the apg-63. In game, I can resolve MiG 29’s (5m^2 RCS targets) in RWS high perf, at about 60 nautical miles (111 Km).

 

86-70 Nm in RWS seems theoretically possible given the publicly available data on the radar. This is a publicly available DOD report on the radar. Max Theoretical range in High Pref RWS is 78 Nm (144 Km). The US tends to use 5M^2 for fighter sized targets in it’s reports.

https://apps.dtic.mil/dtic/tr/fulltext/u2/a142071.pdf

 

 

attachment.php?attachmentid=240913&stc=1&d=1593034946

 

 

 

 

 

The APG-63 dish size is 36 inches in diameter and has peak power is 12K watts. If we do a cursory sanity check on the DOD chart. With reasonable gain and P min figures, to calculate the theoretical range, using the idealized range equation mentioned in the report. The theoretical ranges from the DOD report seem good.

 

The peak power figures come from this Public Canadian radar assessment.

https://www.collectionscanada.gc.ca/obj/s4/f2/dsk2/ftp04/mq22118.pdf

 

 

attachment.php?attachmentid=240914&stc=1&d=1593034946

 

 

 

The I’ve seen Su-27’s n001 quoted as having a peak power of 4k. The capabilities are often quoted as detecting 3m^2 targets at 80-100 Kilometers. In game, high pref RWS resolves 5m^2 (mig 29’s) contacts at 60 nautical miles (111 Km). Which seems reasonable if you’re determining in game radar range by using maximum theoretical range. But it doesn’t look like that approach is applied to the F-15, given it’s shorter detection range.

 

In range while search (RWS) mode, the F-15 loses 25% of it’s theoretical detection range. While the N001 is operating at the maximum theoretical range.

1993713582_APG-63Range.thumb.png.ce69a51a9d3e62b3284664875af6c60f.png

781612852_APG-63power.png.cdb268d022bbcd2ed6e53633ed1d073e.png

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  • 3 months later...

Any updates on this?

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Hornet's radar is basically a downscaled APG-63 from the Eagle. Additionally compromised in A-A performance by adopting A-G modes. F-15C should have a lot more capable A-A radar with all parameters, range, lock stability, more sensitive notch filtering etc.

 

This being said full fidelity F-15C would make developers to revise this in details, but Nick said in the interview F-15C is single role that's why they selected Hornet and Viper.


Edited by bies
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  • 2 weeks later...

Yes. Fix the radar please. Guys above are right. Now Radar is worse. It is not possible to work BVR properly in this circumstances. For Example: instead of detect JF-17 Hi aspect from decent distance. F -15C DCS is able to detect at 37 nm !! When fighting at 400 level JF`s SD-10 allready flights towards me. 37 NM is less than SAR ( safe abort Range ). Even.. it is exactly MAR ( Minimum abort Range at 400 Level). Next... AiM-120 C at 400 level fired from platform flying 1,5 Ma could be launched From 48 Nm. Radar is bottle neck for 120C in this situation. JF-17 is Stealt fighter? To obtain good SA is not possible last times because of broken radar. Sorry I`m not native english.


Edited by 303_Vins
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JF-17 does have a relatively low RCS (3m2), but Im pretty sure you can detect it past 37nm. And no thats not even close to the MAR for the SD-10/AMRAAM at that alt, thats like AIM-54 Mk.47 MAR. It hasnt been made worse, its just always been bad.

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Yes . 3m square. Gives Echo. Echo. Echo = contact. Yes or not ?. -1.0-1.0-1 . U need more explanations ?

How M square gives T-38 ? similar ? what docs says ? Any elimination problems? Deduction problems ? Is JF-17 Stealth technology versus T-38 ? Is APG- 63 (V) 1 Mig-21 like technology ?

Go to cockpit F-15. Check your self... U will see what is going wrong. I guarantee surprise...


Edited by 303_Vins
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T-33 IIRC is 6m2 frontal, so detection range vs a JF would be in the ballpark of 60-70nm

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Something I am confused by is why the DCS manual state the radar is an APG-63v1 yet ED is only contemplating giving it 70s radar performance that would be 2 ~ 3 generations behind where it should be

 

Couldn't they use these figures as a base and play with numbers in their formula till it could reach detection ranges as laid out by some reputable source's estimate parameters like a Jane's publication

Along with other avionics tweaks

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  • 1 month later...
Something I am confused by is why the DCS manual state the radar is an APG-63v1 yet ED is only contemplating giving it 70s radar performance that would be 2 ~ 3 generations behind where it should be

 

Couldn't they use these figures as a base and play with numbers in their formula till it could reach detection ranges as laid out by some reputable source's estimate parameters like a Jane's publication

Along with other avionics tweaks

 

v1 is very much like the -70. There were manufacturing issues to deal with mostly, IIRC the -70 is a bit more advanced than MSIP I/II (But MSIP is ages ahead of the original 63) and the v1 was an incremental improvement on the 70 ... I would expect in terms of detection ranges etc those three to be relatively similar. The documentation we have for range is before MSIP; there are anecdotes of pilots saying that the worst tuned MSIP radar was as good at the best tuned pre-MSIP radar, but we could only guess at what that may mean :)

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[TABLE=class: Table]

[TR]

[TD=bgcolor: white]F-15C (1981)

[/TD]

[TD=bgcolor: white]AN/APG-63

https://forums.eagle.ru/core/image/png;base64,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

[/TD]

[TD=bgcolor: white]~ 140km

[/TD]

[TD=bgcolor: white]-60°/+60° <120°

[/TD]

[TD=bgcolor: white]-30°/+30° <60°

[/TD]

[/TR]

[/TABLE]

 

* Fighter 5m2 detection

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[TABLE=class: Table]

[TR]

[TD=bgcolor: white]F-15C (1981)

[/TD]

[TD=bgcolor: white]AN/APG-63

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

[/TD]

[TD=bgcolor: white]~ 140km

[/TD]

[TD=bgcolor: white]-60°/+60° <120°

[/TD]

[TD=bgcolor: white]-30°/+30° <60°

[/TD]

[/TR]

[/TABLE]

 

* Fighter 5m2 detection

 

Slightly curious, whats the source for this?

Eagle Enthusiast, Fresco Fan. Patiently waiting for the F-15E. Clicky F-15C when?

HP Z400 Workstation

Intel Xeon W3680(i7-980X) OC'd to 4.0 GHz, EVGA GTX 1060 6GB SSC Gaming, 12 GB DDR3 RAM, 500GB Crucial MX500 SSD. Thrustmaster T16000M FCS HOTAS, DIY opentrack head-tracking. I upload DCS videos here https://www.youtube.com/channel/UC0-7L3Z5nJ-QUX5M7Dh1pGg

[sIGPIC][/sIGPIC]

The Alamo Squadron is looking for dedicated Air-to-Air focused pilots

For more detailed recruiting information, see our forums.

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  • BIGNEWY changed the title to AN/APG-63 range is under-represented

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