Test & Measurement

Detector Type

The algorithm a spectrum analyzer or signal analyzer uses to convert the continuous IF signal envelope within each resolution bandwidth (RBW) bin into a single displayed amplitude value. Different detector types produce different readings from the same physical signal. Choosing the correct detector is critical for accurate power measurements and mandatory for EMC compliance testing.
Category: Test & Measurement
Standards: CISPR 16-1-1, FCC Part 15
Context: Spectrum & Signal Analyzers

Understanding Detector Type

A swept spectrum analyzer tunes its local oscillator across the span, and the resulting IF signal passes through the resolution bandwidth filter. At each frequency point, the analyzer must condense the continuous IF output into a single number for display. The Detector Type determines how that condensation happens.

For a pure CW tone, every detector produces the same answer because the IF signal is constant. The differences emerge with modulated signals, pulsed waveforms, and broadband noise, where the IF amplitude fluctuates within each measurement interval. A peak detector captures the highest crest. A sample detector grabs one instant. An RMS detector computes true power. These differences can easily amount to 10 dB or more on a wideband signal like 5G NR or a radar pulse train.

Detector Comparison

DetectorAlgorithmCW SignalNoise FloorPulsed SignalPrimary Use
Positive PeakMaximum value in binCorrectReads high (~2.5 dB)Reads peak amplitudeSpurious search, EMC pre-scan
Negative PeakMinimum value in binCorrectReads lowReads noise between pulsesAM modulation depth
SampleSingle random sample per binCorrectCorrect (statistically)May miss short pulsesNoise measurements, random signals
RMS (Power Average)Root mean square of IFCorrectCorrectTrue average powerChannel power, ACLR, noise density
Quasi-Peak (QP)Weighted charge/dischargeCorrectBetween peak and avgWeights repetition rateEMC compliance (CISPR 16)
EMI AverageLinear voltage averageCorrectReads low (~1.05 dB)Linear mean amplitudeEMC compliance above 1 GHz
RMS Detector Calculation
RMS Power:
PRMS = √( (1/N) × Σ |Vi|² )

Displayed Level (dBm):
L = 10 × log10(PRMS / 1 mW)

Peak-to-Average Difference for Noise:
Peak detector reads approximately 2.5 dB above true RMS for Gaussian noise.
Sample detector reads correct RMS if sufficient averaging is applied.

For a 5G NR signal with 12 dB PAPR: Peak detector reads ~12 dB above RMS detector.
Common Questions

Frequently Asked Questions

Why does changing the detector type change the displayed amplitude?

Because each detector processes the IF signal differently. A modulated or pulsed signal has amplitude that varies within each measurement bin. A positive peak detector captures the highest instantaneous value. An RMS detector computes the true power average. For a CW tone, all detectors agree. For a noise-like 5G NR signal, peak detection might read 10 to 12 dB higher than RMS because the peak captures the highest crest, not average power.

Which detector type should I use for EMC compliance testing?

CISPR 16 and FCC Part 15 mandate specific detectors. Pre-compliance scans use peak detection for speed: if peak passes, the device passes regardless. Final compliance for conducted emissions below 30 MHz requires the quasi-peak detector per CISPR 16-1-1. The QP detector has specific charge (1 ms) and discharge (160 ms for Band B) time constants that weight repetitive signals higher than random bursts.

What is the difference between video averaging and an RMS detector?

Video averaging averages logarithmic (dB) values across successive sweeps. This reduces trace noise but introduces about 2.5 dB systematic error when measuring noise, because averaging in log scale is not the same as averaging in linear scale. An RMS detector computes root-mean-square of the IF power in linear units before converting to dB, giving the mathematically correct power reading without the 2.5 dB log-averaging error.

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