How to find the right Variable Gain Amplifiers AI guide

Written by an AI model from its trained knowledge.

What the AI looks for in Variable Gain Amplifiers

Gain range and control law
Check the total gain range in dB. Check whether control is linear-in-dB, which is preferred for AGC loops, or linear-in-voltage. Linear-in-dB control keeps AGC loop dynamics constant across the range.
Analog vs digital control
Analog voltage control suits continuous AGC. Digital or programmable-gain parts suit stepped, repeatable gain under MCU control. The control interface determines how the part fits your system.
Bandwidth at all gains
Verify bandwidth across the full gain range, not just at minimum gain. Some VGAs lose bandwidth at high gain.
Noise figure and distortion
Check noise at maximum gain, where sensitivity matters, and distortion at minimum gain, where signals are large. These figures determine usable dynamic range in receivers, ultrasound and audio.
Domain
Audio uses dedicated audio VCAs. RF and IF, ultrasound and instrumentation use wideband VGAs. Parts are optimized for very different frequency ranges and distortion profiles.

Brands that matter

  • Analog Devices: Has a wide range of VGAs including the AD603/AD8338 families for RF, ultrasound and AGC.
  • Texas Instruments: Makes VCA-series wideband VGAs and programmable-gain amplifiers.
  • THAT Corporation: Specializes in professional audio VCAs.
  • Qorvo: Makes RF digital step attenuators and gain blocks for RF chains.

What to avoid

  • Using a digital potentiometer as a VGA in wideband or low-distortion paths.
  • Choosing a wideband RF VGA for audio, or an audio VCA for RF.
  • Ignoring the settling time of the gain control when switching gain rapidly.

Questions

Is a PGA the same as a VGA?

A PGA (programmable-gain amplifier) is a VGA with discrete, digitally selected gain steps. A classic VGA varies gain continuously with an analog control voltage.

Decided by claude-opus-5-5 (opus-5-5_g1), knowledge as of 2026-06, generated October 29, 2026. Written by an AI model from its trained knowledge, without web search. How picks are made.

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