Noise Figure Calculator
Enter gains and noise figures to see the overall performance.

Why Noise Matters

Whenever you amplify a signal, unwanted noise tags along for the ride. Electronic components add random fluctuations generated by the motion of charge carriers and other microscopic processes. This noise degrades sensitive receivers, obscuring weak signals and limiting range. Engineers describe how much noise a device introduces with the noise figure or its linear counterpart, the noise factor. A lower value means a cleaner amplifier. When combining multiple stages—such as an antenna preamp feeding a mixer and then an intermediate amplifier—the contributions from each unit accumulate in a predictable way. Understanding how these pieces interact is crucial for designing everything from radio telescopes to Wi‑Fi routers.

From Decibels to Linear Ratios

Noise figure is usually specified in decibels because the values span a large range and radio engineers often work in logarithms. To calculate overall performance, however, the math must be done in linear units. This calculator automatically converts between decibels and linear factors. If a stage has a noise figure of NF dB, its noise factor F equals 10NF/10. Similarly, a gain of G_dB becomes a linear gain G=10G_dB/10. Once in this format, the total noise factor can be computed with the Friis formula.

The Friis Noise Formula

Danish engineer Harald Friis developed a simple expression to describe how noise factors combine in cascade. For three stages, the overall noise factor is

F_{total}=F_1+F_2-1G_1+F_3-1G_1G_2.

The first stage dominates because its noise is amplified by all later stages. That is why low-noise amplifiers are placed close to an antenna—any degradation here ripples throughout the system. If you add more stages, the pattern continues with each additional term divided by the product of all preceding gains. After calculating F_{total}, the final noise figure in decibels equals 10log_{10}F_{total}.

Design Strategies

Armed with the Friis equation, engineers can experiment with various amplifier chains. For example, swapping a noisier second stage with a slightly lower gain stage might have little effect if the first amplifier already provides a hefty boost. Conversely, a poor first stage overwhelms everything downstream. Modern receivers typically aim for noise figures below 2 or 3 dB in the front end, especially for satellite or deep‑space communication. The ability to compute how each choice alters the final number is vital when balancing cost, complexity, and performance. This calculator allows you to enter up to three stages, giving quick insight into whether an upgrade is worthwhile.

Practical Example

Imagine you have an LNA (low-noise amplifier) with a gain of 20 dB and a noise figure of 1 dB feeding a second stage with 10 dB of gain and a noise figure of 5 dB. Converting to linear units yields G_1=1020/10 = 100, F_1=101/10 ≈ 1.26, G_2=1010/10 = 10, and F_2=105/10 ≈ 3.16. Applying Friis, F_{total}=1.26+3.16-1100, giving approximately 1.28. Converted back to decibels, the overall noise figure is 10log_{10}1.28 ≈ 1.1 dB. The first stage’s excellent performance keeps the system quiet despite the noisier second stage.

Beyond Three Stages

This tool focuses on up to three stages for simplicity, but the underlying principle extends indefinitely. Each additional stage contributes F_i-1G_{1}G_{2}G_{i-1} to the total noise factor. Practically speaking, gains high enough to overcome cabling losses are often concentrated early in the chain, so later stages have diminishing impact on the noise figure. Still, for microwave links or sensitive instrumentation, even small degradations can matter, making careful calculation essential.

Conclusion

By entering the gains and noise figures for your amplifier stages, this calculator quickly reveals the overall noise performance. Understanding how each component contributes empowers you to allocate resources where they count the most. Whether you are building a radio receiver, a high-end audio system, or a precision measurement chain, minimizing noise figure helps preserve the integrity of the original signal. Because all calculations happen locally in your browser, you can test different scenarios instantly and refine your design without sharing any proprietary data.

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