Station & Feedline
Selected cable
Ready.
All cables at your length, frequency, power & SWR
Sorted best to worst. Selected cable highlighted. Bar = % of power reaching the antenna.
Selected cable across the ham bands
Same length, power, SWR and connectors, matched-loss model re-evaluated per band. SWR is assumed equal on every band.
Feedline Loss Calculator
Formulas
Matched loss (dB) = (k1·√f + k2·f) × length / 100 k1 = conductor (skin-effect) term, k2 = dielectric term ρ = (SWR − 1) / (SWR + 1) [at the load] a = 10^(matched loss / 10) Total loss = 10·log10[(a² − ρ²) / (a·(1 − ρ²))] + connectors SWR at TX = (1 + ρ/a) / (1 − ρ/a) P out = P in × 10^(−total loss / 10) EIRP = P out × 10^(gain_dBi / 10) ERP = EIRP / 1.64
Assumptions
- Each cable is modeled from two nominal published attenuation points (100 and 1000 MHz) and interpolated with the √f + f model. Values are typical, not guaranteed; check the manufacturer's data sheet for critical work.
- Hardline entries are typical foam-dielectric 50 Ω Heliax-style cable. Air-dielectric and corrugated types vary by maker.
- Ladder line is a typical 450 Ω window line. Its loss is low even at high SWR, but the 50 Ω SWR model here is only a rough guide for it, since it is not a 50 Ω line.
- Cable loss rises with temperature (about +0.1%/°F) and as cable ages or takes on water.
- Total loss includes the extra loss caused by SWR on the line, which is why a mismatch hurts more on lossy cable.
Tips & Tricks
- Every 3 dB lost is half your power; 6 dB is about one S-unit on the receive side as well.
- SWR read at the rig looks better than the real antenna SWR because the line absorbs reflected power. Compare the "SWR at transmitter" and "SWR at antenna" lines.
- Going from RG-58 to a larger cable costs less than a bigger amplifier. On VHF and up, go as large as you can afford.
- Connectors, adapters and lightning arrestors each add a little, and they add up on short UHF runs.
- Check cable power handling separately. Small coax can fail from heat at high power and high SWR even when loss looks fine.