
10-1
0
REFERENCE
DATA
FOR ENGINEERS
Although the above sensitivity discussion has been
concentrated solely on deviations of the transfer func-
tion
H(s)
caused by component changes, it should be
understood that sensitivity calculations apply to any
network parameter whose value depends
on
variable
circuit components. For example, the center frequency
and the selectivity of
a
bandpass function, or the cutoff
frequency of
a
low-pass filter, depend in general on
several resistors and capacitors and possibly on op-
amp or OTA gain. Any shift in these parameters result-
ing from component variations can be estimated by
calculating the corresponding sensitivities. Similarly,
the precise location of transmission zeros or filter
poles depends, of course,
on
the correct element Val-
ues. Any variations or tolerances in the latter cause
shifts in these critical frequencies and therefore trans-
fer-function errors that can readily be evaluated by
sensitivity calculations. All second- and higher-order
filters discussed in the remaining four sections of this
chapter have been evaluated extensively
as
to their sen-
sitivity performance and
are
recognized
as
the best
designs available. If a different active
RC
filter out of
the numerous topologies presented in the literature
is
to be used, the sensitivities of the contemplated circuit
should be carefully investigated to make sure that the
design will work satisfactorily in practice. It is noted
again that simple postdesign tuning to eliminate fabri-
cation tolerances will in general not suffice because
circuit components cannot be expected to retain their
values under environmental stresses, such as aging or
temperature fluctuations, Thus, low sensitivity is
a
necessary requirement for any circuit. When evaluat-
ing a filter, the reader ought
to
keep in mind that the
sensitivity results presented are valid for
small
changes
in element values because of the linearization
involved in the analysis: Note from Eq. 21 that the
function
HGw,
k)
has been replaced by its slope in the
nominal point
k
=
ko
to estimate changes caused by
varying
k
from
k,
to
ko
+
Ak.
In
particular, this means
that
a
circuit with the desirable property
Sf
=
0
may
not
be entirely independent of the parameter
k;
it only
says that
at
the nominal value
k
=
k,
the slope
dH/dk
is
zero, usually implying
a
quadratic dependence on
k.
Large variations
Ak
can still cause unacceptable per-
formance errors!
It is also emphasized that sensitivity expressions are
usually functions
of
frequency
so
that
the results ought
to
be evaluated in the frequency range of interest (nor-
mally in the passband or at the passband edges) when
different possible designs are compared.
Finally, a last point is worth noting: Sensitivity is
only an intermediate result and by itself can still create
a
misleading picture of circuit performance.
In
the ulti-
mate analysis, what is important is the deviation or
variability
MIH,
Le., by
Eqs.
21 or
24,
the sensitivity
multiplied by the expected component tolerances.
Hence, relatively large sensitivities are acceptable
when the relevant “component” (e.g.,
a
resistor ratio
in
a
thin-film hybrid realization) can be expected
to
be
very accurate and stable. However, when
a
component
varies strongly (e.g., op-amp gain-bandwidth prod-
uct), very low sensitivities must be insisted upon.
FREQUENTLY USED BUILDING
BLOCKS
Active filters are generally constructed by intercon-
necting
a
number of well-understood elementary
building blocks. Understanding the performance of
those blocks enables the designer
to
assemble
a
filter
that works better and more reliably. Thus, in this sec-
tion, the most important functional blocks are being
introduced: the summer, the integrator, the general
impedance converter
(GIC),
the gyrator (which is
a
cir-
cuit that is used
to
simulate an inductor via
a
capaci-
tor), the frequency-dependent negative resistor
(FDNR),
and
a
circuit for realizing
a
first-order voltage
transfer function. A separate section is devoted
to
the
realization of second-order biquadratic transfer func-
tions because of their special importance.
Summers
As
the name implies, a summer is used
to
add differ-
ent signals in
a
filter to form
a
desired sum signal. The
circuit is essentially an extension of Fig. 3A in which
various input signals
V,,
i
=
1,
...,
n,
are fed through
weighting resistors to the virtual ground node
V
of the
op amp (Fig.
5).
Simple analysis yields
(Eq.
30)
Thus, for ideal amplifiers
(A
+
CQ),
the output voltage
is simply the negative sum of the input voltages,
weighted by resistor ratios
ai.
If the op-amp gain is
finite and frequency-dependent, e.g., via Eq.
8,
the
summing coefficients exhibit frequency-dependent
errors (specifically low-pass behavior)
as
is evident
from Eq.
30.
Whether or not this effect causes unac-
ceptable deviations in
a
given filter depends on several
factors and must be carefully investigated from case
to
case; no general rule can be given.
g5
Fig.
5.
Resistive
op-amp
summer.