GGTharos Posted May 14, 2020 Posted May 14, 2020 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). 6 [sIGPIC][/sIGPIC] Reminder: SAM = Speed Bump :D I used to play flight sims like you, but then I took a slammer to the knee - Yoda
TAW_Blaze Posted May 18, 2020 Posted May 18, 2020 They should go a step further and just give us DCS: F-15C :) 7
Dudikoff Posted May 18, 2020 Posted May 18, 2020 (edited) 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 May 18, 2020 by Dudikoff 2 i386DX40@42 MHz w/i387 CP, 4 MB RAM (8*512 kB), Trident 8900C 1 MB w/16-bit RAMDAC ISA, Quantum 340 MB UDMA33, SB 16, DOS 6.22 w/QEMM + Win3.11CE, Quickshot 1btn 2axis, Numpad as hat. 2 FPH on a good day, 1 FPH avg. DISCLAIMER: My posts are still absolutely useless. Just finding excuses not to learn the F-14 (HB's Swansong?). Annoyed by my posts? Please consider donating. Once the target sum is reached, I'll be off to somewhere nice I promise not to post from. I'd buy that for a dollar!
nighthawk2174 Posted May 22, 2020 Posted May 22, 2020 I think I may even have the same doc, I do hope though we see an improvement in its performance.
ED Team Chizh Posted May 22, 2020 ED Team Posted May 22, 2020 NOTE: I have provided the necessary materials and suggestion to Chizh. Could you send me those materials again? Единственный урок, который можно извлечь из истории, состоит в том, что люди не извлекают из истории никаких уроков. (С) Джордж Бернард Шоу
D4n Posted June 7, 2020 Posted June 7, 2020 Any updates on this? https://forums.eagle.ru/showpost.php?p=4372905&postcount=19 DCS Wishlist: 2K11 Krug SA-4 Ganef SAM, VR-TrackIR icons next to player names in score-chart PvP: 100+ manual player-kills with Stingers on a well known dynamic campaign server - 100+ VTOL FARP landings & 125+ hours AV-8B, F-14 crew, royal dutch airforce F-16C - PvP campaigns since 2013 DCS server-admins: please adhere to a common sense gaming industry policy as most server admins throughout the industry do. (After all there's enough hostility on the internet already which really doesn't help anyone. Thanks.) Dell Visor VR headset, Ryzen 5 5600 (6C/12T), RTX 2060 - basic DCS-community rule-of-thumb: Don't believe bad things that a PvP pilot claims about another PvP pilot without having analyzed the existing evidence
Curly Posted June 20, 2020 Posted June 20, 2020 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?
GGTharos Posted June 20, 2020 Author Posted June 20, 2020 It isn't specified but I doubt that it's just VS. [sIGPIC][/sIGPIC] Reminder: SAM = Speed Bump :D I used to play flight sims like you, but then I took a slammer to the knee - Yoda
mytai01 Posted June 21, 2020 Posted June 21, 2020 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... MS Win7 Pro x64, Intel i7-6700K 4.0Ghz, Corsair RAM 16Gb,EVGA GeForce GTX 1080 FTW GAMING ACX 3.0, w/ Adjustable RGB LED Graphics Card 08G-P4-6286-KR, Creative Labs SB X-FI Titanium Fatal1ty Champ PCIe Sound Card, Corsair Neutron XTI 1TB SSD, TM Warthog Throttle & Stick, TM TPR Pedels, Oculus Rift VR Headset CV1, Klipsch Promedia 4.1 Speakers...
Curly Posted June 24, 2020 Posted June 24, 2020 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 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 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. 1
dundun92 Posted October 7, 2020 Posted October 7, 2020 Any updates on 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, 24 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
bies Posted October 9, 2020 Posted October 9, 2020 (edited) 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 October 9, 2020 by bies
nighthawk2174 Posted October 9, 2020 Posted October 9, 2020 Yeah would love to see the eagles radar improved at a bare minimum to the original APG-63 performance (which it doesn't even match currently). And then obviously the MISP's performance would be amazing as well, even if it may take some guessing on ED's part. 1
303_Vins Posted October 23, 2020 Posted October 23, 2020 (edited) 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 October 23, 2020 by 303_Vins
dundun92 Posted October 23, 2020 Posted October 23, 2020 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. 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, 24 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
303_Vins Posted October 23, 2020 Posted October 23, 2020 (edited) 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 October 23, 2020 by 303_Vins
dundun92 Posted October 23, 2020 Posted October 23, 2020 T-33 IIRC is 6m2 frontal, so detection range vs a JF would be in the ballpark of 60-70nm 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, 24 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
TaxDollarsAtWork Posted October 23, 2020 Posted October 23, 2020 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
henshao Posted November 25, 2020 Posted November 25, 2020 not only is the range criminally undermodeled but the lookup/clear sky notching has always deeply annoyed me ever since LOMAC 1
GGTharos Posted November 25, 2020 Author Posted November 25, 2020 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 :) [sIGPIC][/sIGPIC] Reminder: SAM = Speed Bump :D I used to play flight sims like you, but then I took a slammer to the knee - Yoda
Satarosa Posted November 26, 2020 Posted November 26, 2020 [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 Real War, Youtube Channel: https://www.youtube.com/channel/UCCs1uki5QsyuHUdvtmWJTOg?view_as=subscriber Real War, Voice Chat: https://discord.gg/UGa3KMe [sIGPIC][/sIGPIC]
dundun92 Posted November 26, 2020 Posted November 26, 2020 [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, 24 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
GGTharos Posted November 26, 2020 Author Posted November 26, 2020 Not to mention it's some 20-25km short. [sIGPIC][/sIGPIC] Reminder: SAM = Speed Bump :D I used to play flight sims like you, but then I took a slammer to the knee - Yoda
henshao Posted November 26, 2020 Posted November 26, 2020 want to see something to make you sad, when testing the AMRAAM maximum range at high alt, Grim Reapers had to use the F-16 because it could track the target further than the F-15 3
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