Anti-Aliasing Filters Reduce Errors in Data Acquisition




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Anti-Aliasing Filters Reduce Errors in Data Acquisition

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Lecture 8: Reconstruction and Aliasing smartdata ece ufl edu/eee5502/2019_fall/media/2019_eee5502_slides08 pdf Anti-Aliasing We need to sample twice as fast as the maximum frequency ?s > 2?max Question: What is happening when I multiply in frequency?

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Anti-Aliasing Filters Reduce Errors in Data Acquisition 113362_3Filtering_and_Anti_Aliasing.pdf The aliases of a given frequency in the signal of interest, f a , lying in the interval from DC to F S /2 are nF S ±f a . The fre- quencies in this interval are referred to as principal aliases and the limit of this interval F S /2 is termed the Nyquist or folding frequency. Aliasing is also referred to as spectrum folding because the pattern of aliases corresponds to the folding up of the frequency axis. In Figure 3, the frequency axis is marked o? linearly in intervals that are multiples of the folding fre- quency. Also labeled on this axis are a number of frequen- cies that are aliases of one another, f a , f b , f c , ... f g , = nF S ±f a .

If the frequency axis is folded at multiples of F

S /2, then the set of aliases f a , f b , f c , ... f g are superimposed on each other and are indistinguishable.f a = Principal Alias f a 0F s -f a F s /23F s /22F s 5F s /2F s F s +f a 2F s -f a 2F s +f a n = 1, 2, 3... a) Unfolded b) Partly Foldedc) Completely Foldedd) Aliases of fa f g f f f a f d f c f b f a 3F s 2F s F s 7/2F s 3/2F s F s /25/2F s 0

Aliases of f

a f g f f f e f d f c f b f a = 3F s + f a = 3F s - f a = 2F s + f a = 2F s - f a = F s + f a = F s - f a = f a F s /20 F s = Sampling Frequency n (F s /2) = Fold Frequenciesf a = nF s ±f a = Aliases of f a Figure 3: Aliasing as Spectrum Folding at Multiples of F s /2

Attenuation of Aliases

Low-pass ?ltering, in addition to removing out-of-band energy that could corrupt in-band data, serves to band- limit the signal prior to subsequent sampling. The sampling frequency of the digitizer must then be set high enough to assure adequate attenuation of signals that could alias into the pass-band of the ?lter. Another consideration on setting the sampling frequency is the allowable error in resolving the amplitude of the waveform up to the highest frequency of interest. Here, however, we restrict our discus- sion to determining the minimum sampling frequency

required to achieve the desired attenuation of aliases.For other test measurement solutions visit our web site at www.p?nc.com or send e-mail to p?nfo@p?nc.com

Anti-Aliasing Filters Reduce Errors in Data Acquisition

On the New Frontiers of PrecisionAliasing is the corruption of in-band signal by out-of-band signals during A/D

conversion. Low-pass anti-aliasing ?ltering before A/D conversion is the only means to prevent aliasing in data acquisition for test measurements.

Aliasing and

Anti-Alias Filters

Introduction

When analog signals are sampled by A/D converters, the resulting digital data record can be corrupted by signals outside of the bandwidth of interest and cannot be dis- tinguished from the in-band signals. Termed aliasing, the potential corruption is undetectable. Sample Rate = 5 kHz4 kHz1 kHz

Sampled Data Points

Figure 1:

4 kHz Alias of 1 kHz Signal at 5 kHz Sample Rate As illustrated in Figure 1, where sampled data points are taken at a sampling frequency, FS , of 5 kHz. The sampled data points of the 4 kHz sine wave are indistinguishable from the sampled data points of the 1 kHz sine wave. The only way to prevent the 4 kHz sine wave from producing an alias at 1 kHz is to use an analog anti-alias ?lter to attenu- ate the 4 kHz signal at the A/D converter input as shown in

Figure 2.

Anti-alias

Filterf(t)

Analog

InputA/D

ConverterDigital

Output

Figure 2:

Block Diagram of Data Conversion System

Aliases

Two frequencies (f

1 and f 2 ) are said to be aliases of each other if sampled data points of their corresponding sinu- soids cannot be distinguished. This occurs if there exists a positive integer, n, such as f 1 = nF S ± f 2 . Sampled data points of every frequency in the spectrum, no matter how high, will have the equivalent sampled data points of some frequency in the interval from DC to F S /2.

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Web Site: www.p?nc.comFrom our prior discussion, it is clear that any frequency that exists higher than F S /2 will fold into the band between DC and F S /2. Given this, a low-pass ?lter is needed to attenuate these higher frequencies to an acceptable level. In practice, the theoretical sampling frequency must be increased to account for the fact that actual ?lters do not have in?nite attenuation slopes. The low-pass ?lter in front of the A/D converter must be set to attenuate signals that will alias without signi?cantly attenuating the signal itself. The procedure for setting the cuto? frequency of the ?lter is as follows:

1. The ?lter cuto? is set so that the highest frequency in

the signal, fx, is attenuated by not more than X dB. 2. Referring to Figure 4, the sampling frequency is set high enough to permit the ?lter to attenuate the ?rst alias of fx, fy = FS - fx, by at least Y dB. The sampling frequency FS may be expressed in terms of fx and its ?rst alias as: F s = ( + 1) f x f y f x As an example, we assume the ?lter cuto? frequency is f x = F 3dB and that 80 dB minimum attenuation of its ?rst alias, f y , is required. We de?ne F 80dB
as the frequency of the ?lter where 80 dB of attenuation is reached. With these assumptions, the equation for setting the sampling frequency becomes: F s = ( + 1) F 3dB F 80dB
F 3dB

Values of F

80dB
for various ?lters are provided in Table 1. The resulting sampling frequency when using an 8-pole

Butterworth (BU8) ?lter would be F

s = 4.16*F 3dB . Similarly, for the sharper Precision Filters LP8F under the same constraints, F S = 2.75*F 3dB , which is a 34% reduction in sampling rate compared to the BU8. The Precision Filters

LP6F 6-pole ?lter results in F

S = 3.61*F 3dB , a 13% reduction in sampling rate when compared to the BU8. YX F s F s - f x F s /2F 3dB f x f y 0

Attenuation (dB)

Filter Response

Filter Response

Folded About F

s /2

Highest Sig. Freq. (f

x )

Cut O? Freq. (F

3dB )

Fold Frequency

Sampling Frequency

Frist Alias

Figure 4:

Anti-Alias Filter with Spectrum Folding about F s /2 (Linear Frequency Axis)

Conclusion

Aliasing is an inescapable attribute of A/D conversion and digital data acquisition. Without proper intervention, digital data can easily become meaningless without any indication. Barring advance knowledge of the full spectrum of the analog signal, the only strategy to prevent in-band signal corruption by aliasing is by using low-pass anti- aliasing ?ltering prior to the A/D converter. The low-pass ?ltering must be carefully set both to minimize attenuation of pass-band signals of interest and maximize attenuation of out-of-band aliasing frequencies. Further, the sharpness of the applied ?lter - as with those o?ered by Precision Filters - has a direct e?ect on both the quality of in-band signal ?delity as well as the required sampling frequency.

Low-Pass FilterPass-Band Amplitude

Response (f/F

3dB ) Transition Region Amplitude

Response (f/F

3dB )

FilterDescription-1%-5%F

3dB -20 dB-40 dB-60 dB-80 dB LP8F

PFI 8-Pole

Maximally Flat

Elliptic0.860.9111.211.441.641.75

LP6F

PFI 6-Pole

Maximally Flat

Elliptic0.780.8711.381.862.322.61

BU8

8-Pole

Butterworth0.780.8711.331.782.373.16

Table 1:

Comparison of Low-Pass Filter Properties
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