Teach you how to choose the right oscilloscope bandwidth

Bandwidth is the first parameter most engineers consider when choosing an oscilloscope. This article will provide you with some useful tips on how to choose the right oscilloscope bandwidth for your digital and analog applications. But first, let’s look at the definition of oscilloscope bandwidth.

Definition of Oscilloscope Bandwidth

All oscilloscopes exhibit a low-pass frequency response that rolls off at higher frequencies as shown in Figure 1. Most oscilloscopes with bandwidth specifications of 1 GHz and below typically exhibit a Gaussian response, with a slow roll-off starting at about one-third of the -3dB frequency. Oscilloscopes with bandwidth specifications exceeding 1 GHz typically have a maximally flat frequency response, as shown in Figure 2. This frequency response typically exhibits a relatively flat response in the band, with a steeper roll-off at about the -3dB frequency.

Each of these two frequency responses of an oscilloscope has its own advantages and disadvantages. An oscilloscope with a maximally flat frequency response will attenuate in-band signals less than an oscilloscope with a Gaussian frequency response, which means that the former can measure in-band signals more accurately. But an oscilloscope with a Gaussian frequency response will attenuate out-of-band signals less than an oscilloscope with a maximally flat frequency response, which means that under the same bandwidth specification, an oscilloscope with a Gaussian frequency response will generally have a faster rise time. However, sometimes attenuating out-of-band signals can help eliminate signals that are not within the Nyquist criterion (fMAX). Whether your oscilloscope has a Gaussian frequency response, a maximally flat frequency response, or something in between, we consider the lowest frequency at which the input signal is attenuated by 3dB after passing through the oscilloscope to be the bandwidth of the oscilloscope. The bandwidth and frequency response of an oscilloscope can be measured by sweeping a sine wave signal generator. The attenuation of the signal at the oscilloscope's -3dB frequency translates to an amplitude error of about -30%. Therefore, we cannot expect to accurately measure signals whose major frequency components are close to the oscilloscope's bandwidth.

Closely related to the oscilloscope bandwidth specification is its rise time parameter. An oscilloscope with a Gaussian frequency response, measured from the 10% to 90% standard, has a rise time of about 0.35/fBW. Oscilloscopes with a maximally flat frequency response typically have a rise time specification in the 0.4/fBW range, varying with the steepness of the oscilloscope's frequency roll-off characteristics. But we must remember that the oscilloscope's rise time is not the fastest edge speed that the oscilloscope can accurately measure, but the fastest edge speed that the oscilloscope can achieve when the input signal has a theoretically infinitely fast rise time (0ps). Although this theoretical parameter is impossible to measure in practice because a pulse generator cannot output a pulse with an infinitely fast edge, we can measure the oscilloscope's rise time by inputting a pulse with an edge speed 3 to 5 times the oscilloscope's rise time specification.

Oscilloscope bandwidth required for digital applications

A rule of thumb is that the bandwidth of an oscilloscope should be at least 5 times greater than the fastest digital clock rate of the system being measured. If the oscilloscope we choose meets this criteria, then the oscilloscope will be able to capture the 5th harmonic of the signal being measured with minimal signal attenuation. The 5th harmonic of a signal is very important in determining the overall shape of a digital signal. However, if high-speed edges need to be accurately measured, this simple formula does not take into account the actual high-frequency content contained in fast rising and falling edges.

Formula: fBW ≥ 5xfclk

A more accurate way to determine the bandwidth of an oscilloscope is to base it on the highest frequency present in the digital signal, rather than the maximum clock rate. The highest frequency of a digital signal is determined by the fastest edge speed in the design. Therefore, we first need to determine the rise and fall times of the fastest signal in the design. This information can usually be obtained from the public data sheets of the devices used in the design.

Step 1: Determine the fastest edge speed

Then you can use a simple formula to calculate the maximum "real" frequency component of the signal. Dr. Howard W. Johnson wrote a book on this topic, High Speed ​​Digital Design. In the book, he called this frequency component the "knee" frequency (fknee). All fast edges have an infinite number of frequency components in their spectrum, but there is a knee (or "knee") above which the frequency components are insignificant in determining the shape of the signal.

Step 2: Calculate fknee

fknee=0.5/RT(10%-90%)

fknee=0.4/RT(20%-80%)

For signals with a rise time characteristic defined by a threshold of 10% to 90%, the knee frequency fknee is equal to 0.5 divided by the rise time of the signal. For signals with a rise time characteristic defined by a threshold of 20% to 80% (as is often done in device specifications today), fknee is equal to 0.4 divided by the rise time of the signal. But be careful not to confuse the signal rise time here with the rise time specification of the oscilloscope; we are talking about the actual signal edge speed here.

The third step is to determine the oscilloscope bandwidth required to measure the signal based on the accuracy required to measure the rise and fall times. Table 1 shows the relationship between the oscilloscope bandwidth required and fknee for various accuracy requirements for oscilloscopes with Gaussian or maximally flat frequency response. But remember that most oscilloscopes with bandwidth specifications of 1 GHz and below are usually Gaussian frequency response types, while those with bandwidths above 1 GHz are usually maximally flat frequency response types.

Step 3: Calculate the Oscilloscope Bandwidth

Let's explain this with a simple example:

Determine the minimum bandwidth required for an oscilloscope to have a correct Gaussian frequency response when measuring a 500ps rise time (10-90%); if the rise/fall time of a signal is approximately 500ps (defined by the 10% to 90% standard), then the maximum actual frequency content of the signal (fknee) is approximately 1GHz.

fknee=(0.5/500ps)=1GHz

If a 20% timing error is allowed when measuring rise time and fall time parameters, an oscilloscope with a bandwidth of 1 GHz can meet the requirements of this digital measurement application. However, if the timing accuracy is required to be within 3%, an oscilloscope with a bandwidth of 2 GHz is better.

20% Timing Accuracy:

Oscilloscope bandwidth = 1.0 x 1 GHz = 1.0 GHz

3% Timing Accuracy:

Oscilloscope bandwidth = 1.9 x 1 GHz = 1.9 GHz

Next we will use several oscilloscopes with different bandwidths to measure a digital clock signal with similar characteristics to the signal in this example.

Comparison of measurements of the same digital clock signal using oscilloscopes with different bandwidths

FIG3 shows the waveform result of measuring a 100MHz digital clock signal with an edge speed of 500ps (from 10% to 90%) using Agilent's 100MHz bandwidth oscilloscope MSO6014A.

As can be seen from the figure, the oscilloscope mainly passes only the 100MHz fundamental frequency component of the clock signal, so the clock signal appears to be in the shape of a sine wave. An oscilloscope with a bandwidth of 100MHz may be very suitable for many MCU-based 8-bit designs with clock rates in the range of 10MHz to 20MHz, but it is obviously not enough for the 100MHz clock signal measured here.

As can be seen from the figure, the oscilloscope can capture up to the fifth harmonic of the signal, which just meets the first empirical suggestion we gave above. However, when we measured the rise time, we found that the rise time measured by this oscilloscope was about 750ps. In this case, the oscilloscope's measurement of the signal rise time is not very accurate. The measurement result it obtains is actually very close to its own rise time (700ps), rather than the rise time of the input signal (close to 500ps). This shows that if timing measurement is more important, then we need to use an oscilloscope with a higher bandwidth to meet the requirements of this digital measurement application.

After switching to Agilent's 1-GHz bandwidth oscilloscope MSO6104A, the signal image we get (see Figure 5) is more accurate.

After selecting the rise time measurement in the oscilloscope, we get a measurement result of about 550ps. This measurement result has an accuracy of about 10%, which is very satisfactory, especially when considering the cost of the oscilloscope. However, sometimes even this measurement result obtained by a 1GHz bandwidth oscilloscope may be considered inaccurate. If we require an edge speed measurement accuracy of 3% for this signal with an edge speed of 500ps, then we need an oscilloscope with a bandwidth of 2GHz or higher, which we have already mentioned in the previous example.

After switching to an oscilloscope with a 2 GHz bandwidth, what we see now (see Figure 6) is a more accurate clock signal, with a rise time measurement of approximately 495 ps.

Agilent Infiniium series high bandwidth oscilloscope has an advantage, that is, the bandwidth can be upgraded. If 2GHz bandwidth is enough for today's application, you can just buy an entry-level 2-GHz oscilloscope at first, and then gradually upgrade it to 13GHz when you need higher bandwidth.

Oscilloscope bandwidth required for analog applications

Many years ago, most oscilloscope manufacturers recommended that users choose an oscilloscope with a bandwidth at least three times higher than the maximum signal frequency. Although this "3X" rule does not apply to digital applications based on clock rate, it still applies to analog applications such as modulated RF signal measurements. To help readers understand the origin of this three-times multiplier, let's look at the true frequency response of a 1GHz bandwidth oscilloscope.