Noise as a Signal
Let's first test the two previous extreme cases.

Many modern spectrum analyzers have optional built-in preamplifiers
available. Compared to external preamplifiers, built-in preamplifiers simplify
measurement setups and eliminate the need for additional cabling. Measuring
signal amplitude is much more convenient with a built-in preamplifier,
because the preamplifier/spectrum analyzer combination is calibrated as a
system, and amplitude values displayed on screen are already corrected for
proper readout. With an external preamplifier, you must correct the spectrum
analyzer reading with a reference level offset equal to the preamp gain. Most
modern spectrum analyzers allow you to enter the gain value of the external
preamplifier from the front panel. The analyzer then applies this gain offset
to the displayed reference level value, so that you can directly view corrected
measurements on the display.
Noise as a signal
So far, we have focused on the noise generated within the measurement
system (analyzer or analyzer/ preamplifier). We described how the measurement
system's displayed average noise level limits the overall sensitivity. However,
random noise is sometimes the signal that we want to measure. Because of
the nature of noise, the superheterodyne spectrum analyzer indicates a value
that is lower than the actual value of the noise. Let's see why this is so and
how we can correct for it.
By random noise, we mean a signal whose instantaneous amplitude has
a Gaussian distribution versus time, as shown in Figure 5-6. For example,
thermal or Johnson noise has this characteristic. Such a signal has no discrete
spectral components, so we cannot select some particular component and
measure it to get an indication of signal strength. In fact, we must define
what we mean by signal strength. If we sample the signal at an arbitrary
instant, we could theoretically get any amplitude value. We need some
measure that expresses the noise level averaged over time. Power, which
is of course proportionate to rms voltage, satisfies that requirement.
7. For more details on noise figure, see Agilent
Application Note 57-1, Fundamentals of RF and
Microwave Noise Figure Measurements, literature
number 5952-8255E.
Related Links
Spectrum_Noise_figure Spectrum_Best_sensitivity Spectrum_Preamplifiers Spectrum_Preamplifier_affects_sensitivity Spectrum_System_noise_figure
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