# High-Accuracy Noise Figure Measurements with Network Analyzers

Application Notes

Overview of Noise Figure

What is noise figure?

• Overview of Noise Figure
• What is noise figure?
• Importance of noise figure accuracy
• Noise Figure Measurement Techniques
• Y-factor method
• Cold source method
• Accuracy Limitations
• Assumptions of the Y-factor method
• Noise figure measurement uncertainty contributions
• PNA-X’s Unique Approach
• Option choices
• Correcting for noise-parameter effects
• Measurement comparisons of pna-x and y-factor method
• Scalar noise calibration
• Sweep considerations
• Using the standard receivers for measuring noise figure
• Noise-power parameters
• Measuring frequency converters
• Measuring differential devices
• Measuring noise parameters
• Calibration Overview
• Vector noise calibration
• Scalar noise calibration
• Calibration for frequency converters
• On-wafer calibration
• Moving the noise calibration plane
• Practical Measurement Considerations
• Ambient temperature setting
• Noise averaging
• Optimizing S-parameter power level
• Optimizing power sensor level during calibration
• Compression and damage levels
• Interference
• Application notes
• Magazine articles
• Papers
• Web

The definition of noise figure is simple and intuitive. The noise factor (F) of a network is defined as the input SNR divided by the output SNR:

• F = (Si /Ni )/(So/No), where
• Si = input signal power
• So = output signal power
• Ni = input noise power
• No = output noise power

Noise figure (NF) is simply the noise factor expressed in decibels: NF = 10*log (F)

This definition is true for any electrical network, including those that shift the frequency of the input signal to a different output frequency, such as an up or down converter.

To better understand the concept of noise figure, consider an amplifier where the output signal is equal to the input signal multiplied by the gain of the amplifier. If the amplifier is perfect, the output noise is also equal to the input noise multiplied by the amplifier’s gain, resulting in the same SNR at both the input and output of the amplifier. For any real-world amplifier, however, the output noise is larger than the input noise multiplied by the gain, so the SNR at the output is smaller than that at the input, resulting in F being greater than one, or NF being greater than 0 dB.

It is important to note that when measuring and comparing noise figures, the test system is assumed to provide perfect 50-ohm terminations at the input and output of the device-under-test (DUT). In real-world scenarios, however, this is never the case. Later, we will discuss the accuracy implications if our test system is not exactly 50 ohms, and we will show how calibration and measurement methods can overcome the errors produced from an imperfect 50-ohm source match.

Another way to express the amount of noise added by an amplifier or system is in terms of effective input temperature (Te ). To understand this parameter, recall that the amount of noise available from a passive termination can be expressed as kTB, where k is Boltzmann’s constant, T is the temperature of the termination in Kelvin, and B is the system bandwidth. For a given bandwidth, the amount of noise is proportional to temperature. Therefore, the amount of noise produced by a device can be expressed as an equivalent noise temperature, normalized to a 1 Hz bandwidth. For example, the amount of electrical noise coming out of a commercial noise source with a 15 dB excess-noise ratio (ENR) is equivalent to termination at 8880 K. The noise factor of any real device can be expressed as an effective input noise temperature. While T is not the actual physical temperature of the amplifier or converter, it is the equivalent temperature (in degrees Kelvin) of an input termination connected to a perfect (noise-free) device that would produce the same amount of additional noise at the output.

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