A field team faces an unresolved physical question: How -65 dBm becomes 17.7 metres They must answer it before changing rssi in dbm on the real device. Predict the direction first.
See the relationship before changing it
The figure reads from left to right. The blue card is rssi in dbm. The middle card applies this page's relationship. The green card is correct ideal distance. Walk the arrows once: set the input, apply the rule, then read the result with its unit.
The retained audit below checks several chapter fixtures. This added model holds every other chapter fixture fixed, so the numeric fixture does not switch without explanation.
Derive the baseline in four named moves
- 1
Name the input. The chapter baseline for rssi in dbm is -65.
- 2
Name the relationship. d=10^[(27.55-20log₁₀f_MHz-RSSI)/20]
- 3
Substitute the chapter fixture. Set rssi in dbm to -65. The page ledger gives correct ideal distance as 17.7 m.
- 4
Read the result. Keep m beside the value. Use it only inside the technical boundary on this page.
Predict, then change rssi in dbm
Try Predict the direction of correct ideal distance. Move one control, calculate, then check your prediction.
Observe The readouts use the same logarithm and inverse-power step derived above. Reset the control to -65 and compare correct ideal distance.
Explain Only rssi in dbm moves here. The other chapter fixtures remain fixed.
Check yourself
What should you do before trusting a moved-control result?
What does this small model leave out?
1. Read decibels as a ratio scale
A logarithm compresses a multiplication ratio into addition. The term 20 log₁₀d therefore says that multiplying distance by ten adds 20 dB of ideal free-space loss.
2. Keep the frequency unit attached
With distance in metres and frequency in hertz, FSPL = 20log₁₀d + 20log₁₀f − 147.55. Writing f in megahertz adds 120 inside the frequency term, rebasing the constant to −27.55.
3. Make distance the subject
Use the quiz referenceFrom a 0 dBm ideal reference, FSPL = −RSSI.
Move known terms20log₁₀d = 27.55 − 20log₁₀f_MHz − RSSI.
Divide by 20log₁₀d = (27.55 − 20log₁₀f_MHz − RSSI)/20.
Undo log base tend = 10^[(27.55 − 20log₁₀f_MHz − RSSI)/20].
4. Try the corrected quiz
TryMove RSSI and stop at the chapter's −65 dBm.
ObserveAt −65 dBm, the proper 67.6 dB frequency term gives 17.7 m; the broken 48 dB term gives about 169 m.
ExplainThe readouts use the same logarithm and inverse-power step derived above.
Free space assumes one unobstructed path and a 0 dBm reference.
- Walls, antennas, body shadowing, AGC error, and multipath can dominate a real RSSI reading
- Needs separate evidence
Use field evidence or a deeper model before release.
5. Work the chapter numbers
20log₁₀(2,400) = 67.6 dB. Then d = 10^[(27.55−67.6+65)/20] = 17.7 m. Substituting 48 gives about 169 m; 169/17.7 = 9.55.
6. Separate model error from sensor evidence
The corrected arithmetic removes a software error. It does not turn RSSI into a calibrated ruler. The chapter's channel-state-information detector deliberately treats movement-driven channel variation as its evidence.
7. Check yourself
Why is the MHz constant 27.55?
What was wrong with 20×2.4?
Is 17.7 m a measured range?
These are the chapter inputs, worked results, and named teaching assumptions.
- 2,400 MHz
- Frequency, sample rate, or event rate
- −65 dBm
- Radio power level
- 67.6 dB
- Gain, loss, margin, or level ratio
- 17.7 m
- Distance, wavelength, or size
- 169 m
- Distance, wavelength, or size
- 9.55×
- Percentage, ratio, or gain
The page corrects the equation but does not claim RSSI is a field-accurate distance sensor.
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