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Structural Health Monitoring Using Smart Sensors - ideals ...

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dB<br />

A s<br />

Figure 4.4. AA filter design parameters.<br />

fn<br />

fc<br />

fsb<br />

f N<br />

passband transition<br />

Frequency<br />

stopband<br />

component whose frequency is higher than the Nyquist frequency, f N = f s , is folded<br />

back to the frequency range from 0 to f N<br />

, i.e., the signal is aliased. As a result of this<br />

sampling phenomenon, signals in the frequency range above f N<br />

are superimposed onto the<br />

original signal components in the baseband frequency range after the sampling. Once the<br />

signal is contaminated with aliasing components, it cannot be corrected. Therefore, the<br />

high-frequency components above the Nyquist frequency need to be eliminated prior to<br />

the sampling process.<br />

Ideally, a Linear Time Invariant (LTI) analog circuit, whose gain is unity over the<br />

passband range with linear phase response and then attenuates quickly to zero is desirable.<br />

In practice, LTI circuits close to the ideal circuit are employed as AA filters (see Figure<br />

4.4). To completely eliminate aliasing in a digital signal, the following relation needs to<br />

hold<br />

f n<br />

f c<br />

f sb<br />

f N<br />

(4.1)<br />

where f n<br />

is the highest frequency of signal components to be analyzed; f c<br />

is filter’s<br />

passband cutoff frequency; and f sb<br />

is the stopband cutoff frequency. The stopband<br />

attenuation, A s<br />

, is determined so that any signal in the stopband is smaller than the<br />

resolution of the ADC connected to the filter. Other requirements for AA filters include<br />

small-gain variance in the passband; and linear phase over the passband, which keeps the<br />

signals undistorted in the time domain.<br />

There are many variations in LTI circuits for AA filters. Though an arbitrary LTI<br />

system, which satisfies the above mentioned requirement, works as an AA filter, several<br />

filter types have been proposed and used for their specific characteristics. The Butterworth<br />

filter, which is also called the “maximally flat magnitude” filter, has a frequency response<br />

that is as flat as mathematically possible in the passband. The Bessel filter has the<br />

maximally linear phase response. The elliptic filter has an equiripple magnitude response<br />

in both the passband and stopband, minimizing the maximum error in both bands. The<br />

44

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