Radar

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Revision as of 03:28, 31 March 2024 by d0d0b1rd (talk | contribs) (equation display experiments)

Mechanics

The units are omitted here; use the values as you see them in-game, except divide the radar signature (cross-section) by ‎[math]\displaystyle{ 10‎ }[/math].


Radars have a few stats that affect their ability to see objects: - radiated power, ‎[math]\displaystyle{ P_t }[/math] - gain, ‎[math]\displaystyle{ G‎ }[/math]; - aperture size, ‎[math]\displaystyle{ A‎ }[/math]; - sensitivity, ‎[math]\displaystyle{ S‎ }[/math]; - noise filtering, ‎[math]\displaystyle{ \nu‎ }[/math]; - and for fire control radars, minimum signal-to-noise, ‎[math]\displaystyle{ \text{SNR}_\text{min}‎ }[/math].

Return Power Density

Given the [[[mechanics:radar_cross_section|radar cross section]]] of an enemy ship ‎[math]\displaystyle{ \sigma‎ }[/math] at a distance ‎[math]\displaystyle{ d‎ }[/math], The returned power density, ‎[math]\displaystyle{ P_r‎ }[/math] is calculated by:

[math]\displaystyle{ P_r = \frac{\left(\frac{P_t G\sigma A}{4\pi d^2}\right)G}{4\pi d^2} = \frac{P_tG^2 \sigma A}{16\pi^2 d^4} }[/math]

On a burn-through sweep, ‎[math]\displaystyle{ P_t‎ }[/math] is multiplied by the Burn-Through Power Mult. stat.

Return Power is factored into both Noise and Signal Loss calculations to determine effective radar range

Track Quality

Track Quality Inaccuracy (m)
TQ15 0.0 - 4.0
TQ14 4.0 - 9.1
TQ13 9.1 - 14.6
TQ12 14.6 - 20.5
TQ11 20.5 - 26.9
TQ10 26.9 - 34.0
TQ9 34.0 - 41.8
TQ8 41.8 - 50.5
TQ7 50.5 - 60.3
TQ6 60.3 - 71.7
TQ5 71.7 - 85.2
TQ4 85.2 - 101.6
TQ3 101.6 - 122.9
TQ2 122.9 - 152.8
TQ1 152.8+

In game, track quality is graded on a scale from TQ15 to TQ1, where TQ15 is a near perfect track, and TQ1 is nearly unusable. This is calculated by the formula:

[math]\displaystyle{ \text{TQ}=\lfloor 15^{1.02-0.005\delta_R}\rfloor }[/math], clamped between 1 and 15,

where [math]\displaystyle{ \delta_R }[/math] is the position error of the track in meters.

This can be used to convert TQ into an approximate meters of inaccuracy

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Example Example
Example Example
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