Follow-up to myself: Oops. I made a mistake in my last calculation. The -10 
cutoff point means it goes from "detection impossible" to "detection unless 
there is a critical failure" in one range band.

> Travis replied to Hal:
> >
> > Does GURPS have a model(outside of a bonus to skill) to account for the
> > ability of an automatic system to do real-time processing of the sensor
> > data to provide either an enhancement over-lay(like how many computer games
> > will highlight items and enemies), or other augmented-reality type
> > processing that could allow a user(biological or electronic) to spot or
> > identify things that they may not have been able to see regardless of skill?
> > 
> > > As a suggestion?  Why not list the costs involved?
> > >
> > > More often than not, the military tries to get by with the "good enough"
> > > train of thought instead of "optimal".  On the other hand, you might
> > > consider that the military might have different suit types for different
> > > purposes - much like Starship Troopers suggests.  Just a thought.  :)
> 
> The problem is how the various parts of the model interact:
> 
> * Size, range, speed are not TL-dependent, of course.
> * Radical stealth or emission cloaking gives a (TL-4)*2 penalty to 
>   detection. Same for stealth force screens, but I'm assuming that 
>   isn't cumulative. Note that stealth force screens work against 
>   all sensors, a true cloaking device ...
> * From TL10 up, deceptive jammers work against thermal/PESA and 
>   ladar, again (TL-4)*2 with a maximum of 20 which is reached at 
>   TL14 and up.
> 
> If a vehicle can afford a maximum-size jammer, the total stealth 
> penalty is 
> 
> TL   radar   ladar   PESA
>  8   -16      -8      -8
>  9   -20     -10     -10
> 10   -24     -24     -24
> 11   -28     -28     -28
> 12   -32     -32     -32
> 13   -36     -36     -36
> 14   -40     -40     -40
> 15   -42     -42     -42
> 16   -44     -44     -44
> 
> For sensors and sensor analysis, things look different.
> 
> * For the same weight, the nominal range of a PESA doubles from
>   TL8 to TL11, then it is flat.
> * There are other sensor types. FTL radar appears at TL?, but 
>   the performance is based on the radar of that TL, so there 
>   is a TL progression. (Note that this is an actice sensor.)
>   It is not defined if deceptive jammers help against FTL 
>   radars.
> * Gravscanners are affected by deceptive jammers and emission
>   cloaking. No joy.
> * Ultrascanners have no detailed rules, but they are active,
>   like a 'shoot me' sign.
> * Neural nets for with Electronics Operation (Sensors) helps,
>   too, but it substitutes the computer's skill for the human 
>   one, which is significant because no roll is possible if 
>   the 'technical' penalties are -10 or worse -- the signal is
>   lost in the noise. So skills over 27 are pointless.
>   Also keep in mind that the human skill is no longer added.
> 
> Assuming a 1,000-lb. sensor and a microframe neural-net with 
> the biggest skill program it can run, we get
> 
> TL   PESA scan   FTL radar scan   skill
>  8   25          57               15
>  9   27          59               24
> 10   29          61               27
> 11   31          63               27
> 12   31          63               27
> 13   31          63               27
> 14   31          63               27
> 15   31          63               27
> 16   31          63               27
 
With a SM+5 target, the cutoff point is reached at this 
speed/range:

TL   Possible   Impossible
10   -19        -20
11   -17        -18
12   -13        -14
13    -9        -10
14    -5         -6
15    -3         -4
16    -1         -2

Remember, this is for a half-ton sensor trying to detect
a 3,000-cf vehicle. The detection range is less than the
vehicle length :-(

Regards,
Onno
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