PSD

Power Spectral Density

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Power spectral density (PSD) describes how a signal's power is distributed across frequency, normalized per unit bandwidth (typically 1 Hz). PSD is expressed in dBm/Hz or W/Hz. Thermal noise has a flat PSD of -174 dBm/Hz at room temperature (290K). Phase noise is expressed as PSD relative to the carrier (dBc/Hz). PSD is the fundamental characterization of both signals and noise in the frequency domain.
Category: Signal Analysis
Related to: Noise Floor, Phase Noise, Spectrum Analyzer, Bandwidth
Units: dBm/Hz

Understanding Power Spectral Density

PSD is the frequency-domain description of power distribution. It is essential for understanding noise performance, spectral efficiency, and interference. Every noise figure, phase noise, and spectral emission specification is ultimately a PSD measurement.

Key PSD Values

SourcePSD
Thermal noise (290K)-174 dBm/Hz
Good LNA output noise-173 to -171 dBm/Hz
Typical receiver noise floor-170 to -164 dBm/Hz
Spectrum analyzer noise floor-155 to -140 dBm/Hz

PSD and Total Power

Total noise power in bandwidth B:
P = PSD + 10*log(B)

Example: -174 dBm/Hz in 10 MHz BW:
P = -174 + 10*log(10e6) = -174 + 70 = -104 dBm
Common Questions

Frequently Asked Questions

What is power spectral density?

PSD describes power distribution per Hz across frequency. Thermal noise = -174 dBm/Hz. Total power = PSD + 10*log(bandwidth). PSD is the fundamental characterization of signals and noise in the frequency domain.

Why is -174 dBm/Hz important?

-174 dBm/Hz is the thermal noise floor at room temperature (290K). It is the absolute minimum noise that any receiver will encounter. System sensitivity = -174 + NF + 10*log(BW). This defines the ultimate receive sensitivity.

How do I measure PSD?

Use a spectrum analyzer with known resolution bandwidth (RBW). The displayed power divided by RBW gives the PSD: PSD (dBm/Hz) = measured power (dBm) - 10*log(RBW in Hz). Modern analyzers can display directly in dBm/Hz.

Signal Analysis

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