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44 High Frequency Electronics
High Frequency Design
ANALOG/DIGITAL
Designing Analog Circuits
for Digital Signal Processing
By Gary Breed
Editorial Director
I
n all radio receiver
circuits, the primary
performance-deter-
mining factors are noise
and distortion. All other
figures of merit are
derived from them. This
tutorial article reviews
how these factors are
handled differently in an
all-analog system versus a system where the
signal will be digitized for further digital sig-
nal processing. Also note that the term “radio
receiver” is meant to encompass a wide range
of circuits, incuding classic radio communica-
tions, test instrumentation, optical and RF
cable communications, and various sensor
technologies. The receive portion was chosen
for this discussion because it involves the
widest range of signal levels, along with a
wide range of operating conditions that are
beyond the control of the designer, such as
propagation and interference.
The Analog/Digital Interface and
the Digitizing Process
Two recent articles in High Frequency
Electronics addressed different issues in digi-
tal circuits. Dipilato, Terlep and Hofner [1]
discussed many pertinent issues with signal
preparation for A/D conversion, while Groulx
and Mason [2] covered the mechanisms for
generation of distortion products in the D/A
conversion process. These recent articles are
an excellent introduction for the broader look
at system design presented here.
Table 1 lists the major factors that digital
circuits add to the considerations for design.
The first is the noise floor of the system. At
first glance, it may seem that the noise floor is
an amplitude corresponding to the threshold
of the least significant bit. In a simplistic
implementation, this may be true, but ADCs
benefit from noise dithering, which translates
the amplitude of a weak signal into the range
of the ADC. The real noise floor is the lowest
signal level that can be detected—which is the
difference in level required to make a transi-
tion from one bit to the next.
Dithering can be considered as a cycling of
the ADC through different parts of its range,
and as a result, extending the overall range.
For example, eight bits represents an ampli-
tude range of 48 dB. However, if that ADC can
be “biased” by dithering and detect a transi-
tion that is one-half of an LSB, another 6 dB is
added to its range. This improvement comes at
the cost of additional processing power
required to handle the additional “bits” equiv-
alent to the increased signal range.
Quantization noise [3] due to errors and
nonlinearities in the ADC reduces the system
dynamic range, while jitter reduces the
“sharpness” of the steps from one logic level to
Digital radios present new
design requirements to
engineers—this tutorial
covers the major issues in
digital design, and the
requirements of the analog
circuitry that delivers the
signals to be digitized
Least significant bit (LSB) uncertainty (noise)
Quantization noise due to:
Transition uncertainty (jitter)
Spurious responses
ADC nonlinearities
Total bits available (resolution)
Total accurate bits (dynamic range)
Dithering effects (enhanced weak signal detection)
Clock frequency (Nyquist bandwidth)
Table 1 · Major design factors added by the
digitization process.
From November 2006 High Frequency Electronics
Copyright © 2006 Summit Technical Media, LLC
46 High Frequency Electronics
High Frequency Design
ANALOG/DIGITAL
the next. Low jitter allows the great-
est improvement with dithering,
while poor jitter performance would
reduce the enhancement.
The dynamic range of the system
is the range from the weakest
detectable signal to the strongest. It
is very hard to measure dynamic
range directly in the digital domain,
so it is usually evaluated at the ana-
log input to the ADC, just at it would
be for any analog circuit.
The bandwidth of the digitized
signal is a maximum of one-half the
clock frequency, as determined by
Nyquist many years ago. Dithering
may reduce the effective bandwidth
by “stealing” samples from the ADC.
Some designs even use two ADCs to
obtain the additional samples.
Real World Signals
Any receiver must deal with the
entire range of signals and noise that
is present. The theoretical minimum
thermal noise at room temperature is
–174 dBm in 1 Hz bandwidth. All cir-
cuits have a finite noise figure and a
bandwidth appropriate to the signals
being detected. For a noise figure of 5
dB and a 10 kHz bandwidth, the
noise floor in dBm is then:
Nmin = –174 + 10log(10,000) + 5
= –129 dBm
At the other end of the range, the
strongest signals presented to the
receiver will be from nearby spec-
trum users. This can easily be –10
dBm or higher at multi-user sites, or
even between the handsets of users
sitting next to one another. With a
–10 dBm upper limit, the maximum
dynamic range that must be handled
becomes:
DR = (–10) – (–129)
= 119 dB
This corresponds to an ideal 20-
bit ADC, which is not practical at this
time for high frequencies. This is at
the high end of performance capabil-
ity in analog circuits, as well. The
point is that a wide range of ampli-
tudes must be handled if we want
reliable communications.
This total dynamic range is
reduced somewhat by the amount of
distortion on strong signals, created
by nonlinearities in the circuit. The
reduction of distortion is easily the
greatest challenge in achieving the
desired dynamic range.
The most common techniques for
reduction of distortion and, therefore,
maximization of usable dynamic
range (often referred to as spurious-
free dynamic range or SFDR) are:
• Removal of strong unwanted sig-
nals by filtering
• The use of high-linearity ampli-
fiers, mixers, switches and other
circuit elements
• Applying attenuation or gain to
shift signals to the circuit’s best-
performing range of amplitudes
As we will see in the next section,
some of these choices are not well-
suited for digitized signals.
System Considerations
A key objective of digitizing sig-
nals in modern radios is to reduce the
analog circuit content to a minimum.
Obviously, this means that there is
less opportunity for analog signal
processing such as filtering, frequen-
cy conversion and gain control. But
unless significant strides are made in
the dynamic range of ADCs, highly-
digital radios must either accept
greater analog complexity ahead of
the digital circuit, or accept greatly-
reduced dynamic range. As of today,
both of these scenarios are in play.
Dynamic range is key with digi-
tized radios. A major reason is that
digital circuitry does not have the
“graceful degradation” of analog cir-
cuits. In an analog radio, distortion
increases the noise and spurious sig-
nal levels, but the desired signal is
still present and may even be ade-
quately detected if spurious energy is
not located exactly on its frequency.
When all signals fall within the
input range of the ADC, digital signal
paths react similarly in the presence
of distortion, but when strong signals
saturate the input to the ADC, all
other signals are blocked, since no
codes can be output until the strong
signal ceases or is reduced.
Since the primary cause of distor-
tion is strong unwanted signals, the
above list of methods for reducing
distortion all have the objective of
eliminating or controlling these sig-
nals. Let’s look at each in the context
of delivering a signal to the ADC:
Filtering
Front-end filtering and IF filter-
ing have been the primary means of
achieving the required rejection of
unwanted strong signals. However,
two objectives of digital radios are
wideband frequency coverage and
reduction of analog circuitry. The
reduction of analog circuitry often
means eliminating frequency conver-
sion stages and IF filters. Thus, the
ADC is presented with the band-
width established by the front-end
filter.
An analog radio can use a rela-
tively simple front-end filter and a
high dynamic range mixer to main-
tain the necessary signal handling
performance prior to the narrowband
filtering at the IF. A digital radio may
only have the front-end filter ahead
of the ADC.
Currently, most high performance
digital radios use a downconversion
stage ahead of the ADC. One reason
is to take advantage of the selectivity
afforded by the combination of front-
end and IF filtering. The other main
reason is to operate the ADC at a
lower frequency, where higher-resolu-
tion devices are available.
A midway solution is direct con-
version (D-C), which can use high
dynamic range mixers to convert the
RF to baseband (or a low IF), where
48 High Frequency Electronics
High Frequency Design
ANALOG/DIGITAL
low-frequency 16-bit ADCs are avail-
able with good signal handling prop-
erties.
The front-end filter is one of the
biggest new challenges for the widest
bandwidth digital radio applications,
such as software defined radio (SDR)
or electronic warfare (EW) systems.
These radios rely on wide instanta-
neous bandwidth, which is essential-
ly unfiltered. However, when focused
on a specific task, filtering can be
added to enhance operation at that
particular frequency and bandwidth.
This requires a tunable filter with
sufficient flexibility in center fre-
quency and bandwidth—a signficant
design challenge.
Another new task for filters that
may prove to be the most important
is the reduction, or notching, of
strong unwanted signals. If there are
only a few of these strong signals,
they may be reduced to levels that
allow the ADC to maintain its
dynamic range and deliver the full
input bandwidth. The notch filters
must have sufficient rejection, be fre-
quency agile and accurately tunable.
In addition, the system must have
the capability of spectrum monitor-
ing to identify the interfering signals
and steer the filters.
High Linearity Circuits
As noted above, high dynamic
range mixers are a key element in
downconversion and direct conver-
sion schemes. Mixer design has
advanced to the point where nearly
any practical dynamic range can be
handled well.
A digital radio with no mixer may
require other means of obtaining
high dynamic range. One method is
to use a preamplifier with a high
dynamic range and low noise figure.
This boosts signal levels well above
the minimum necessary for the ADC.
The excess capacity allows for the use
of narrow bandwidth front-end fil-
ters, which may be quite lossy. It also
allows for a flexible range of attenua-
tion, which will be addressed in the
next section.
A highly linear preamplifier
allows fast, inexpensive solid state
switches to be used for both trans-
mit/receive and the selection of ana-
log signal processing options. These
switches may only have a loss of a
fraction of a dB, but some front-end
schemes can cascade several stages of
filtering, which increases the loss.
Gain/Attenuation Control
Ultimately, if the ADC does not
have sufficient dynamic range, signal
levels must be controlled to keep the
input within the amplitude range
where the ADC has its best perfor-
mance. While this is a simple con-
cept, its execution in a digital system
is not. Analog radios could get by
quite well with an IF-derived DC cor-
rection signal for automatic gain con-
trol (AGC). While not perfect, the
time delay between onset of an over-
range strong signal and reduced gain
was acceptable, being only the propa-
gation delay through the narrowband
IF filter, plus the time constant of the
DC detection and control circuits.
A digital radio must derive the
AGC signal from the data stream,
which has a slow response time due
to latency through the ADC and fol-
lowing digital signal processor (DSP).
Some combination of a fast analog
AGC and a more precise digital AGC
may be the right solution.
The gain control circuitry can
take different forms. A high dynamic
range low noise amplifier (LNA) and
a digitally-controlled attenuator
offers the best performance and pre-
cision. These devices are available
now. Analog AGC methods using PIN
diodes, transistors and ICs are also
common and readily available.
Summary and Comments
Digitizing radio signals is an
essential part of the advancement of
communications technology, as has
been demonstrated in numerous
wireless applications. As these tech-
niques spread to other applications,
and as the analog content of the
radios decreases, the design chal-
lenges for the remaining analog cir-
cuitry change.
The major design differences deal
with the restricted dynamic range of
current high-speed/high-frequency
ADCs. In most cases, that required
control must be done within the limi-
tations of much simplified analog cir-
cuitry.
Although the goal of some digital
radio efforts is to nearly eliminate
analog circuitry, practical designs in
the near-term will use the well-estab-
lished analog methods of downcon-
version and direct conversion to meet
performance requirements. It is
expected that these techniques will
continue for some time when higher
performance is needed.
Fully-digital radios with simple
analog front-ends will soon become
common for applications where a
restricted dynamic range and occa-
sional interfering signals can be tol-
erated. This includes most consumer
wireless applications, since the sys-
tem operator has significant control
over signal levels and interference
through the number and location of
base stations. Eventually, the experi-
ence gained from these systems will
aid in the next step forward.
References
1. J. DiPilato, D. Terlep, T. Hofner,
“Optimize the Amplifier/ADC
Connection,” High Frequency Elec-
tronics, Sep. 2006, p. 38.
2. R. Groulx, S. Mason, “Mini-
mization of DDS Spurious Content in
Multi-Channel Systems, High Fre-
quency Electronics, Oct. 2006, p. 18.
3. G. Breed, “Noise and Spurious
in Digital Systems and Digitized
Signals,” High Frequency Electronics,
Sep. 2006, p. 50.
4. J. Tsui, Digital Techniques for
Wideband Receivers, Artech House,
1995.
5. K. Feher, editor, “Advanced
Digital Communications,” Prentice-
Hall, 1987.

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  • 1. 44 High Frequency Electronics High Frequency Design ANALOG/DIGITAL Designing Analog Circuits for Digital Signal Processing By Gary Breed Editorial Director I n all radio receiver circuits, the primary performance-deter- mining factors are noise and distortion. All other figures of merit are derived from them. This tutorial article reviews how these factors are handled differently in an all-analog system versus a system where the signal will be digitized for further digital sig- nal processing. Also note that the term “radio receiver” is meant to encompass a wide range of circuits, incuding classic radio communica- tions, test instrumentation, optical and RF cable communications, and various sensor technologies. The receive portion was chosen for this discussion because it involves the widest range of signal levels, along with a wide range of operating conditions that are beyond the control of the designer, such as propagation and interference. The Analog/Digital Interface and the Digitizing Process Two recent articles in High Frequency Electronics addressed different issues in digi- tal circuits. Dipilato, Terlep and Hofner [1] discussed many pertinent issues with signal preparation for A/D conversion, while Groulx and Mason [2] covered the mechanisms for generation of distortion products in the D/A conversion process. These recent articles are an excellent introduction for the broader look at system design presented here. Table 1 lists the major factors that digital circuits add to the considerations for design. The first is the noise floor of the system. At first glance, it may seem that the noise floor is an amplitude corresponding to the threshold of the least significant bit. In a simplistic implementation, this may be true, but ADCs benefit from noise dithering, which translates the amplitude of a weak signal into the range of the ADC. The real noise floor is the lowest signal level that can be detected—which is the difference in level required to make a transi- tion from one bit to the next. Dithering can be considered as a cycling of the ADC through different parts of its range, and as a result, extending the overall range. For example, eight bits represents an ampli- tude range of 48 dB. However, if that ADC can be “biased” by dithering and detect a transi- tion that is one-half of an LSB, another 6 dB is added to its range. This improvement comes at the cost of additional processing power required to handle the additional “bits” equiv- alent to the increased signal range. Quantization noise [3] due to errors and nonlinearities in the ADC reduces the system dynamic range, while jitter reduces the “sharpness” of the steps from one logic level to Digital radios present new design requirements to engineers—this tutorial covers the major issues in digital design, and the requirements of the analog circuitry that delivers the signals to be digitized Least significant bit (LSB) uncertainty (noise) Quantization noise due to: Transition uncertainty (jitter) Spurious responses ADC nonlinearities Total bits available (resolution) Total accurate bits (dynamic range) Dithering effects (enhanced weak signal detection) Clock frequency (Nyquist bandwidth) Table 1 · Major design factors added by the digitization process. From November 2006 High Frequency Electronics Copyright © 2006 Summit Technical Media, LLC
  • 2. 46 High Frequency Electronics High Frequency Design ANALOG/DIGITAL the next. Low jitter allows the great- est improvement with dithering, while poor jitter performance would reduce the enhancement. The dynamic range of the system is the range from the weakest detectable signal to the strongest. It is very hard to measure dynamic range directly in the digital domain, so it is usually evaluated at the ana- log input to the ADC, just at it would be for any analog circuit. The bandwidth of the digitized signal is a maximum of one-half the clock frequency, as determined by Nyquist many years ago. Dithering may reduce the effective bandwidth by “stealing” samples from the ADC. Some designs even use two ADCs to obtain the additional samples. Real World Signals Any receiver must deal with the entire range of signals and noise that is present. The theoretical minimum thermal noise at room temperature is –174 dBm in 1 Hz bandwidth. All cir- cuits have a finite noise figure and a bandwidth appropriate to the signals being detected. For a noise figure of 5 dB and a 10 kHz bandwidth, the noise floor in dBm is then: Nmin = –174 + 10log(10,000) + 5 = –129 dBm At the other end of the range, the strongest signals presented to the receiver will be from nearby spec- trum users. This can easily be –10 dBm or higher at multi-user sites, or even between the handsets of users sitting next to one another. With a –10 dBm upper limit, the maximum dynamic range that must be handled becomes: DR = (–10) – (–129) = 119 dB This corresponds to an ideal 20- bit ADC, which is not practical at this time for high frequencies. This is at the high end of performance capabil- ity in analog circuits, as well. The point is that a wide range of ampli- tudes must be handled if we want reliable communications. This total dynamic range is reduced somewhat by the amount of distortion on strong signals, created by nonlinearities in the circuit. The reduction of distortion is easily the greatest challenge in achieving the desired dynamic range. The most common techniques for reduction of distortion and, therefore, maximization of usable dynamic range (often referred to as spurious- free dynamic range or SFDR) are: • Removal of strong unwanted sig- nals by filtering • The use of high-linearity ampli- fiers, mixers, switches and other circuit elements • Applying attenuation or gain to shift signals to the circuit’s best- performing range of amplitudes As we will see in the next section, some of these choices are not well- suited for digitized signals. System Considerations A key objective of digitizing sig- nals in modern radios is to reduce the analog circuit content to a minimum. Obviously, this means that there is less opportunity for analog signal processing such as filtering, frequen- cy conversion and gain control. But unless significant strides are made in the dynamic range of ADCs, highly- digital radios must either accept greater analog complexity ahead of the digital circuit, or accept greatly- reduced dynamic range. As of today, both of these scenarios are in play. Dynamic range is key with digi- tized radios. A major reason is that digital circuitry does not have the “graceful degradation” of analog cir- cuits. In an analog radio, distortion increases the noise and spurious sig- nal levels, but the desired signal is still present and may even be ade- quately detected if spurious energy is not located exactly on its frequency. When all signals fall within the input range of the ADC, digital signal paths react similarly in the presence of distortion, but when strong signals saturate the input to the ADC, all other signals are blocked, since no codes can be output until the strong signal ceases or is reduced. Since the primary cause of distor- tion is strong unwanted signals, the above list of methods for reducing distortion all have the objective of eliminating or controlling these sig- nals. Let’s look at each in the context of delivering a signal to the ADC: Filtering Front-end filtering and IF filter- ing have been the primary means of achieving the required rejection of unwanted strong signals. However, two objectives of digital radios are wideband frequency coverage and reduction of analog circuitry. The reduction of analog circuitry often means eliminating frequency conver- sion stages and IF filters. Thus, the ADC is presented with the band- width established by the front-end filter. An analog radio can use a rela- tively simple front-end filter and a high dynamic range mixer to main- tain the necessary signal handling performance prior to the narrowband filtering at the IF. A digital radio may only have the front-end filter ahead of the ADC. Currently, most high performance digital radios use a downconversion stage ahead of the ADC. One reason is to take advantage of the selectivity afforded by the combination of front- end and IF filtering. The other main reason is to operate the ADC at a lower frequency, where higher-resolu- tion devices are available. A midway solution is direct con- version (D-C), which can use high dynamic range mixers to convert the RF to baseband (or a low IF), where
  • 3. 48 High Frequency Electronics High Frequency Design ANALOG/DIGITAL low-frequency 16-bit ADCs are avail- able with good signal handling prop- erties. The front-end filter is one of the biggest new challenges for the widest bandwidth digital radio applications, such as software defined radio (SDR) or electronic warfare (EW) systems. These radios rely on wide instanta- neous bandwidth, which is essential- ly unfiltered. However, when focused on a specific task, filtering can be added to enhance operation at that particular frequency and bandwidth. This requires a tunable filter with sufficient flexibility in center fre- quency and bandwidth—a signficant design challenge. Another new task for filters that may prove to be the most important is the reduction, or notching, of strong unwanted signals. If there are only a few of these strong signals, they may be reduced to levels that allow the ADC to maintain its dynamic range and deliver the full input bandwidth. The notch filters must have sufficient rejection, be fre- quency agile and accurately tunable. In addition, the system must have the capability of spectrum monitor- ing to identify the interfering signals and steer the filters. High Linearity Circuits As noted above, high dynamic range mixers are a key element in downconversion and direct conver- sion schemes. Mixer design has advanced to the point where nearly any practical dynamic range can be handled well. A digital radio with no mixer may require other means of obtaining high dynamic range. One method is to use a preamplifier with a high dynamic range and low noise figure. This boosts signal levels well above the minimum necessary for the ADC. The excess capacity allows for the use of narrow bandwidth front-end fil- ters, which may be quite lossy. It also allows for a flexible range of attenua- tion, which will be addressed in the next section. A highly linear preamplifier allows fast, inexpensive solid state switches to be used for both trans- mit/receive and the selection of ana- log signal processing options. These switches may only have a loss of a fraction of a dB, but some front-end schemes can cascade several stages of filtering, which increases the loss. Gain/Attenuation Control Ultimately, if the ADC does not have sufficient dynamic range, signal levels must be controlled to keep the input within the amplitude range where the ADC has its best perfor- mance. While this is a simple con- cept, its execution in a digital system is not. Analog radios could get by quite well with an IF-derived DC cor- rection signal for automatic gain con- trol (AGC). While not perfect, the time delay between onset of an over- range strong signal and reduced gain was acceptable, being only the propa- gation delay through the narrowband IF filter, plus the time constant of the DC detection and control circuits. A digital radio must derive the AGC signal from the data stream, which has a slow response time due to latency through the ADC and fol- lowing digital signal processor (DSP). Some combination of a fast analog AGC and a more precise digital AGC may be the right solution. The gain control circuitry can take different forms. A high dynamic range low noise amplifier (LNA) and a digitally-controlled attenuator offers the best performance and pre- cision. These devices are available now. Analog AGC methods using PIN diodes, transistors and ICs are also common and readily available. Summary and Comments Digitizing radio signals is an essential part of the advancement of communications technology, as has been demonstrated in numerous wireless applications. As these tech- niques spread to other applications, and as the analog content of the radios decreases, the design chal- lenges for the remaining analog cir- cuitry change. The major design differences deal with the restricted dynamic range of current high-speed/high-frequency ADCs. In most cases, that required control must be done within the limi- tations of much simplified analog cir- cuitry. Although the goal of some digital radio efforts is to nearly eliminate analog circuitry, practical designs in the near-term will use the well-estab- lished analog methods of downcon- version and direct conversion to meet performance requirements. It is expected that these techniques will continue for some time when higher performance is needed. Fully-digital radios with simple analog front-ends will soon become common for applications where a restricted dynamic range and occa- sional interfering signals can be tol- erated. This includes most consumer wireless applications, since the sys- tem operator has significant control over signal levels and interference through the number and location of base stations. Eventually, the experi- ence gained from these systems will aid in the next step forward. References 1. J. DiPilato, D. Terlep, T. Hofner, “Optimize the Amplifier/ADC Connection,” High Frequency Elec- tronics, Sep. 2006, p. 38. 2. R. Groulx, S. Mason, “Mini- mization of DDS Spurious Content in Multi-Channel Systems, High Fre- quency Electronics, Oct. 2006, p. 18. 3. G. Breed, “Noise and Spurious in Digital Systems and Digitized Signals,” High Frequency Electronics, Sep. 2006, p. 50. 4. J. Tsui, Digital Techniques for Wideband Receivers, Artech House, 1995. 5. K. Feher, editor, “Advanced Digital Communications,” Prentice- Hall, 1987.