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A large market exists for low-cost, gigahertz-band radio
receivers used for data communications. Low cost demands
single-chip implementation with minimum off-chip components. An
important goal is to replace any external intermediate frequency
(IF) filters with on-chip IF filters while maintaining sufficient
image rejection. One possible solution for this challenge is a
direct conversion approach — for example, using a zero IF
frequency. But direct conversion has many well-known drawbacks,
such as DC offset, 1/f noise and local oscillator leak-through. A
solution that avoids these problems uses a low-megahertz IF
frequency, where on-chip filters can be built within the
high-frequency limitations of IC
processes1
.
However, a low IF keeps the image frequency so close to the
target frequency that suppressing the image in front of the mixer
would require an impossibly high Q of the filter preceding the
mixer. The solution here is to use an image-rejecting I/Q mixer
that delivers two outputs in quadrature to two IF filters. The
target signal is then separated from the image signal by the unique
phase difference between the two mixer outputs. If the first
output's phase lags behind the second output's phase by 90°
for the target signal, then the first output's phase leads the
second output's phase by 90° for the image signal. The two
mixer outputs are usually then filtered by two separate matched IF
filters that do not discriminate between the target signal and the
image signal. Image rejection is then achieved by an image rejector
that shifts the phase of one filter's output by an additional
90° and adds it with the second filter's output. When choosing
the proper setup, the two filter outputs from the target signal
enter the rejector in phase and add up, while the two filter
outputs of the image signal enter the rejector in opposite phase
and get subtracted.
A better possibility is to replace the two separate filters with
one polyphase filter1
. This technique has
three advantages. First, the frequency response of a polyphase
filter depends on the phase difference between its two input
signals. So, contrary to two separate filters, it has a passband
response for the target signal and an attenuating response for the
image signal. In low-IF data receivers, the data bandwidth is a
significant fraction of the IF filter's center frequency, i.e. the
IF filters must have low Q. The frequency response of conventional
low-Q bandpass filters is not symmetrical around the passband's
center frequency. That distorts the received data's eye
diagram.
The second advantage of the polyphase filter is that its
bandpass response is symmetrical around the passband's center
frequency, independent of its Q. (The polyphase filter keeps the
data's eye diagram intact.)
The third advantage of polyphase filters is that, for the same
degree of image suppression, the matching of their components is
less stringent than the required matching in two separate IF
filters and in the subsequent image rejector. This is because of
the polyphase filters' close cross-coupling.
Polyphase filters can be entirely passive, built of only
resistors and capacitors (see Figure 6 of [1]). An implementation
more suitable for monolithic integration is the active polyphase
filter 2, 3
. The operation of an active
polyphase filter is not obvious from its circuit topology. But
analyzing the filter's voltage and current phasors leads to a
clearer understanding of the filter's useful properties. The
filter's bandpass response to the target, its attenuation of the
image and its sensitivity to component mismatch will be examined.
All voltage and current symbols appearing in the following sections
represent magnitudes. The phase relations are described in the
diagrams.
The polyphase filter stage (see Figure 1) includes two damped
integrators (A, C, Rf
), two cross-coupling
resistors (R) and one unity-gain inverting amplifier (-1). In an
ideal polyphase filter, all components with Suffix 1 exactly match
the same component with Suffix 2. In an ideal polyphase filter, the
operational amplifiers (A) also have sufficient open-loop gain at
the filter's operating frequency band to keep the amplifiers' input
voltages within very small fractions of the amplifiers' respective
output voltages. Then, the voltage across all resistors and the
integrating capacitors (C) is essentially equal to the filter's
output voltage. In monolithic IC form, it is preferable to build
the filter in full differential mode (and not as shown for clarity
in Figure 1). In that case, the filter has four input signals
phase-staggered by 90°. The unity-gain inverting amplifier
(-1) is implemented simply by crossing two leads.
When measuring a polyphase filter's frequency response, one
would normally test the filter's transimpedance Z(f) =
vo
/ii
(note how the filter's output voltages
vo
vary with
frequency f when the input currents
ii
are kept
fixed). However, understanding this filter's operation is easier
when investigating the filter's transadmittance Y(f) =
ii
/vo
.
Thus, follow how the filter's input currents
ii
must be varied
with frequency f to keep the filter's output voltages
vo
fixed and equal
to preset reference voltages
vr1
and
vr2
,
respectively.
Figure 2a shows the integrators' fixed output voltage
vr1
and
vr2
and the
inverted output voltage
-vr1
. Phasor
vr1
leads
vr2
. Figure 2b
shows current iR
in resistors R and
iC0
in capacitors C when the filter's input
is at its center frequency
f0
. As follows
from Figure 1, current
iR1
is in phase
with voltage vr2
,
and current iR2
is
in phase with
-vr1
. Capacitor
current iC01
leads
voltage vr1
and is
in opposite phase with current
iR1
. Current
iC02
leads voltage
vr2
and is in
opposite phase with current
iR2
.
To tune the filter's center frequency to
f0
, resistors R
are set to R =
1/(2πf0
C
).
The filter's bandwidth
fb
is set by the
feedback resistors Rf =
1/πfb
C
. The
filter's Q, or the ratio
f0
/fb,
is Q = Rf
/(2R). Following Figure 1, for any
frequency f, the current in resistors R is
iR
=
vr
/R, the current in resistors
Rf
is
if
=
vr
/Rf
, and
the current in the integrating capacitors C is
iC
=
2πfCvr
. At
center frequency
f0
, the capacitor
currents are iC0
=
2πf0
Cvr
,
and because R =
1/(2πf0
C
),
iR
=
iC0
. The filter's input currents
ii0
are the sum of
if
,
iR
and
iC0
. Thus, at
f0
with
iR
and
iC0
of opposite
phase, the filters' input currents
ii0
are equal to
the filter's feedback currents if
and the
output voltages are vr
=
ii0
Rf
.
Figure 2c shows the feedback current
if1
and
if2
, again in
phase with their respective drive voltage
vr1
and
vr2
, as follows
from Figure 1. As stated above, at center frequency,
f0
input currents
ii
match the
feedback currents
if
. Therefore, in
Figure 2c, phasors
ii0
are identical
with phasors
if
.
When f = f0
,
currents iC0
in
Figure 2b are equal to
iR
and cancel one
another. However, with f ≠
f0
,
currents
iC
in the
integrating capacitors (C) are different from
iC0
. Thus, with a
fixed capacitor voltage vc
=
vr
, the capacitors demand
difference currents ΔiC
= iC
- iC0
=
2π(f -
f0
)Cvr
. When f =
f0
+ Δf
(Δf > 0), the reactance of capacitors (C) is
smaller, thus currents
iC
must increase,
and currents
ΔiC
for f
= f0
+
Δf are in phase with current
iC0
. On the
contrary, when f =
f0
- Δf,
the reactance of capacitor (C) is larger, thus currents
ΔiC
for f
= f0
-
Δf are of opposite phase than currents
iC0
. However, with
vo
fixed at
vr
, the currents
iR
=
vr
/R and feedback currents
if
=
vr
/Rf
are also fixed, independent of frequency f and equal to
their magnitude at
f0
. Therefore,
difference currents
ΔiC
can come
neither from R nor from
Rf
, but can come
only from the filter inputs. Any change
ΔiC
in
capacitor currents
iC
due to a
deviation from the center frequency
f0
will add an
equal component
ΔiC
to the
input currents
ii
.
Figure 2c shows the total input currents
ii1
and
ii2
, each
consisting of a vector sum of current
if
and the
currents ΔiC
for f = f0
+
Δf and f =
f0
- Δf,
respectively. Figure 2c confirms that currents
ii
are the lowest
at f = f0
. Thus,
the filter's transimpedance for a target signal is the highest at
f = f0
and is
equal to:
The total input current is:
With input current
ii
being a
quadratic function of the frequency difference f -
f0
, the filter's
transadmittance Y(f) =
ii
/vr
is symmetrical around center frequency
f0
. The same
applies to the filter's transimpedance Z(f) = 1/Y(f). As stated in
the introduction, this is one of the benefits of polyphase bandpass
filters when applied to low IF data receivers.
Phasor vr1
was
chosen, leading
vr2
in Figure 2,
to achieve a bandpass response of the filter. Thus, to ensure an
attenuating response, a phasor
vr2
will now be
chosen, leading
vr1
.
The situation at frequency
f0
will be
followed, which is also the center frequency of the image signal.
Figure 3a shows output voltage
vr1
and
vr2
and the
inverted output voltage
-vr1
. Figure 3b
shows the current
iR
in resistors
(R) and current
iC0
in capacitors
(C). As follows from Figure 1, current
iR1
is in-phase
with voltage vr2
,
and current iR2
is
in-phase with
-vr1
. Capacitor
currents iC01
and
iC02
lead the
respective output voltages
vr1
and
vr2
.
Following Figure 1, the current in resistors (R) is
iR
=
vr
/R, and substituting for (R),
iR
=
2Δf0
Cvr
.
The current in the integrating capacitors (C) is
iC0
=
2Δf0
Cvr
= iR
. In Figure 2b, the phase of
capacitor currents
iC0
was opposite
the phase of currents
iR
, therefore they
canceled and made no contribution to input current
ii0
. In Figure 3b,
the phase of capacitor current
iC
is the same as
the phase of current
iR
. Therefore, as
shown in Figure 3c, their contribution to input current
ii0
is their
sum.
Figure 3c displays feedback current
if1
and
if2
, again, in
phase with their respective drive voltages
vr1
and
vr2
. At frequency
f0
, the filter's
input currents ii0
will be the vector sum of feedback currents
if
,
iR
and
iC0
, and with
iC0
=
iR
, the vector sum of
if
and
2iR
. With
if
=
vr
/Rf
and iR
=
vr
/R, input currents
ii0
at frequency
f0
will be:
The transimpedance for the image will be:
Comparing Figs. 2c and 3c, it can be seen that the filter's
bandpass response occurs when input current
ii1
leads input
current ii2
, while
attenuating response occurs when input current
ii2
leads input
current ii1
.
The degree of image suppression
S0
at frequency
f0
is equal to the
ratio of the filter's transimpedance
Z0i
for the image
signal and the transimpedance
Z0t
for the target
signal. Substituting for
Z0t
= Rf
yields:
In the previous two sections, it was assumed that the polyphase
filter's components with Suffix 1 exactly match the same component
with Suffix 2. Now analyze the effect of a mismatch between
components in Figure 1 when the filter input is an image signal,
i.e. ii2
leading
ii1
.
In an ideal polyphase filter, the target and image signal differ
at the filter output by the unique phase difference of output
voltages vo1
and
vo2
, as is the
case for the filter's input currents
ii
. In the circuit
of Figure 1, a target signal will result in a phasor
vo1
, leading
phasor vo2
according to Figure 2a. However, the image signal will cause
vo2
leading
vo1
according to
Figure 3a. Subsequent polyphase filter stages or an image rejector
stage will pass any target signal, but will suppress the image
further according to their image attenuation.
Always assume that any component mismatch is evenly distributed
between the two members of the mismatched pair, i.e. if the
fractional mismatch of a pair is p (e.g. p = 1%), one of
the components is off by p/2, the other by -p/2.
For clarity, the mismatches shown in the following figures will be
much larger than any occurring in a real integrated circuit.
The phasor diagram of a polyphase filter with mismatched
feedback resistors Rf is shown in Figure 4. The output
voltages vo1
and
vo2
are in
quadrature, however, their magnitudes differ by error components
ve1
and
ve2
. Current
phasors iR
and
iC
in Figure 4b
depend again on voltages
vo
according to
the circuit of Figure 1 and are proportionally mismatched as well.
However, the sums iR1
+
iC1
and
iR2
+
iC2
and feedback currents
if
are not influenced by the mismatch. When
combining error components
ve1
and
ve2
(in Figure
4c), it can be seen that
ve1
leads
ve2
, i.e. a
configuration corresponding to a target signal.
The phasor diagram of a polyphase filter with mismatched
cross-coupled resistors R1
>
R2
is shown in Figure 5. The effect of the
mismatch is that the phase difference between
vo1
and
vo2
is less than
90°. However, their magnitudes remain balanced (see Figure
5a). Current phasors iR
,
iC
, and
if
in Figure 5b
depend again on voltages
vo
according to
the circuit of Figure 1. As in Figure 3, the vector sums of
iR
,
iC
, and
if
are equal to
the input currents
ii
. Because
R1
> R2
, current
iR1
is smaller
than current
iR2
.
The output phasors
vo1
and
vo2
,
resulting
from mismatch of resistors (R), can be decomposed into quadrature
components vq1
and
vq2
and respective
error components
ve1
and
ve2
, as shown in
Figure 5a. The quadrature components represent an image signal (vq2
leads vq1) further attenuated by subsequent image rejecting
circuits, if any. However, when error components ve1 and ve2 are
again separately joined in Figure 5c, it can be seen that ve1 is
leading ve2, again creating a configuration corresponding to a
target signal.
When the mismatch is between the integrating capacitors and
C1
< C2
, the phase
difference between the filter's output voltages is also less than
90° (see Figure 6). When the resistors (R) or the capacitors
(C) are mismatched in the opposite sense as described above, the
phase difference between the filter's output voltages becomes more
than 90° (see Figs. 7 and 8).
Any component mismatch in the polyphase filter results in some
error components ve
. Thus, a part of the
image signal appears at the filter output as an “image
leak” that mimics a target signal. Understandably, any
subsequent image-rejecting circuit will pass that leak signal with
no attenuation because it cannot distinguish it from a genuine
target signal. It is therefore important to develop a quantitative
relation between component mismatch and image leak to avoid
unpleasant surprises or, on the contrary, to avoid excessive
component matching that costs chip area and power dissipation.
To find the relation between mismatch and leak, one must first
assume that the filter is not mismatched and that it is driven by
an image signal. Its outputs will be
vr1
=
vr2
, as in Figure 3. Next,
mismatch a component pair, but keep the filter output fixed to
vr1
and
vr2
and the filter
input voltage at zero. The mismatch will cause an error current of
ie1
in one, and of
ie2
in the other
member of the pair. Finally, assume that a mismatch-free replica of
the analyzed filter has error currents
ie1
and
ie2
as its input
currents ii1
and
ii2
. The magnitude
of the replica filter's output will be a good approximation of
error components
ve1
and
ve2
in the
mismatched filters of Figs. 4 and 5.
To calculate error currents ie
when the
mismatched pair is the feedback resistors, use the following
formulas:
Rf1
= Rf
(1 +
p/2)
and
Rf2
= Rf
(1 -
p/2).
With p << 1:
It can be seen that
ie1
is of opposite
phase to vr1
,
while ie2
is in
phase with vr2
.
Because phasors
vr1
and
vr2
represent an
image signal (see Figure 3), the constellation of currents
ie1
and
ie2
must be that
of a target signal. It has been found that the transimpedance for a
target signal is Z0t
=
Rf
. So, when driving the replica filter with
ie1
and
ie2
, its outputs
will be ve
=
ie
Rf
=
vr
p/2. When p
<< 1 and the mismatched filter's input is an image signal,
its feedback current if
is in close
quadrature with input current ii
, similar to
Figure 3. Input current
ii
is then close
to ii
=
iR
+ iC
and
is almost equally divided between
iR
and
iC
.
Thus, with good approximation, one can write:
vr
=
ii
R/2.
And, furthermore, for a mismatch p in
Rf
:
vef
=
ii
Rp/4.
When the same procedure is applied with the mismatched pair
using the cross-coupled resistors, the result is:
veR
=
ii
Rfp/4.
Finally, the same applies when the mismatched pair is the
integrating capacitors C1
and
C2
.
To assess the significance of the image leak
ve
, the filter's
transimpedance Z0
must be compared for a target signal with its transimpedance
Z0p
for an image
signal with a mismatch in
Rf
, R or C,
respectively. It is known that
Z0t
=
Rf
. From this:
Zpf
=
vef
/ii
=
Rp
/4 for a mismatch of feedback resistors
Rf
, and:
ZpR
=
veR
/ii
=
Rfp
/4 for a mismatch of cross-coupled resistors (R) or
capacitors (C).
One important ratio is
Zipf
/ZipR
= R/Rf
= 1/2Q. It means that the matching of
Rf
can be relaxed 2Q-times over the matching
of R or C to cause the same image leak. Another important ratio is
ZpR
/Z0t
= p
/4. This says that if, for example, the ratio of
image signal to target signal is 1000:1 (60 dB), to keep the image
leak smaller than the target signal, the mismatch p of (R)
or (C) can be as high as 0.4%. This is one advantage of the
polyphase filter over two separate IF filters, where, in the same
case, a mismatch of no worse than 0.1% is required.
The operation of an active polyphase filter when used for image
attenuation in low IF data receivers has been clearly visualized by
a phasor analysis of the filter's voltages and currents. The
influence of the filter's component mismatch on its image
suppression performance has been quantitatively analyzed. It has
been shown that the image-attenuating performance of a polyphase
filter is superior to two separate IF filters.
-
Jan Crols, Michiel Steyaert “A Single Chip 900 MHz
CMOS Receiver Front-End with a High Performance Low-IF
Topology,” IEEE Journal of Solid State Circuits, Vol.
30, No. 12, December 1995, pp. 1483 - 1492.
-
Johannes O. Voorman “Asymmetric Polyphase
Filter,” US Patent No. 4,914,408.
-
Jan Crols, Michiel Steyaert “An Analog Integrated
Polyphase Filter for a High Performance Low-IF
Receiver,” Proceedings of the VLSI Circuit Symposium
Kyoto, June 1995, pp. 87-88.
Tom Hornak received his M.S.E.E. degree from the Bratislava
Slovak Technical University and a Ph.D. degree in electrical
engineering from the Czech Technical University, Prague. From 1947
to 1968, he worked at the Tesla Corporation's Radio Research
Laboratory. He then worked at the Computer Research Institute in
Prague. He emigrated from Czechoslovakia in 1968 and joined
Hewlett-Packard's Corporate Research Laboratories (HP Labs) in Palo
Alto, California. In his years in HP Labs, his interests were
high-speed analog-digital converters, high-speed fiber-optic
communication systems, electronic instruments and ICs for wireless
communication. He retired form HP Labs in 1999. Hornak was lecturer
at the Czech Technical University in Prague and has published more
than 50 papers. He holds more than 60 U.S. and foreign patents. He
became an IEEE Fellow in 1985. Hornak can be reached by e-mail at:
Thornak68@aol.com