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− | For <math>Q_\text{ind}=40</math>, <math>L^\primt \approx L</math>, we can then redraw our band-pass filter with the lossy inductor model, as shown in Fig. 4. Thus, the new transfer function is then: | + | For <math>Q_\text{ind}=40</math>, <math>L^\prime \approx L</math>, we can then redraw our band-pass filter with the lossy inductor model, as shown in Fig. 4. Thus, the new transfer function is then: |
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Revision as of 11:44, 26 March 2021
Passive RLC filters are simple and easy to design and use. However, can we implement them on-chip? Let us look at a simple example to give us a bit more insight regarding this question.
Example: A passive band-pass filter
Consider the filter shown in Fig. 1.
We can write the transfer function as:
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If we let and , then we can rewrite our expression for as:
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Notice that the transfer function has two zeros, , and two poles located at:
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We get complex conjugate poles if or when , or equivalently, when . If the band-pass filter has , , and :
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Let us now consider a lossy inductor with . The loss can then be modeled by the series resistance, , as shown in Fig. 2, with:
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We can convert the series RL circuit to its parallel circuit equivalent in Fig. 3 for frequencies around by first writing out the admittance of the series RL circuit as:
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Thus, we get:
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For , , we can then redraw our band-pass filter with the lossy inductor model, as shown in Fig. 4. Thus, the new transfer function is then:
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Note that remains approximately the same, the overall quality factor, , becomes: