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AD9856AST датащи(PDF) 22 Page - Analog Devices

номер детали AD9856AST
подробное описание детали  CMOS 200 MHz Quadrature Digital Upconverter
PDF  37 Pages
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производитель  AD [Analog Devices]
домашняя страница  http://www.analog.com
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AD9856AST датащи(HTML) 22 Page - Analog Devices

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AD9856
Rev. C | Page 21 of 36
In applications requiring both a low data rate and a high output
sample rate, a third HBF is available (HBF 3). Selecting HBF 3
offers an upsampling ratio of eight (8) instead of four (4). The
combined frequency response of HBF 1, 2, and 3 is shown in
Figure 33 and Figure 34. Comparing the pass-band detail of
HBF 1 and 2 with the pass-band detail of HBF 1, 2, and 3,
HBF 3 has virtually no impact on frequency response from
0 to 1 (where 1 corresponds to fNYQ).
–100
–90
–70
–30
–10
10
–50
–80
–40
–20
0
–60
4
3
12
05
DISPLAYED FREQUENCY IS RELATIVE TO I/Q NYQ. BW
6
7
8
Figure 33. Half-Band 1, 2, and 3 Frequency Response
–6
–5
–4
–3
–2
–1
0
1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
DISPLAYED FREQUENCY IS RELATIVE TO I/Q NYQ. BW
Figure 34. Pass-Band Detail: Combined Frequency Response of HBF 1 to 3
CASCADED INTEGRATOR COMB (CIC) FILTER
A CIC filter is unlike a typical FIR filter in that it offers the
flexibility to handle differing input and output sample rates
(only in integer ratios, however). In the purest sense, a CIC
filter can provide either an increase or a decrease in the sample
rate at the output relative to the input, depending on the archi-
tecture. If the integration stage precedes the comb stage, the
CIC filter provides sample rate reduction (decimation). When
the comb stage precedes the integrator stage the CIC filter
provides an increase in sample rate (interpolation). In the
AD9856, the CIC filter is configured as an interpolator—
a programmable interpolator—and provides a sample rate
increase, R, such that 2 ≤ R ≤ 63.
In addition to the ability to provide a change in sample rate
between input and output, a CIC filter also has an intrinsic low-
pass frequency response characteristic. The frequency response
of a CIC filter depends on:
The rate change ratio, R.
The order of the filter, N.
The number of unit delays per stage, M.
The system function, H(z), of a CIC filter is given by:
N
RM
N
RM
z
z
z
z
H
⎟⎟
⎜⎜
=
⎟⎟
⎜⎜
=
=
1
0
1
1
1
)
(
κ
κ
The form on the far right has the advantage of providing a
result for z = 1 (corresponding to zero frequency or dc). The
alternate form yields an indeterminate form (0/0) for z = 1,
but is otherwise identical. The only variable parameter for
the AD9856 CIC filter is R. M and N are fixed at 1 and 4,
respectively. Thus, the CIC system function for the AD9856
simplifies to:
4
1
0
4
1
1
1
)
(
⎟⎟
⎜⎜
=
⎟⎟
⎜⎜
=
=
R
R
z
z
z
z
H
κ
κ
The transfer function is given by:
4
1
0
)
2
(
4
)
2
(
)
2
(
1
1
)
(
⎟⎟
⎜⎜
=
⎟⎟
⎜⎜
=
=
R
f
j
f
j
fR
j
e
e
e
f
H
κ
κ
π
π
π
The frequency response in this form is such that f is scaled
to the output sample rate of the CIC filter. That is, f = 1
corresponds to the frequency of the output sample rate of the
CIC filter. H(f/R) yields the frequency response with respect to
the input sample of the CIC filter. Figure 35 to Figure 44 show
the CIC frequency response and pass-band detail for R = 2 and
R = 63, with HBF 3 bypassed. Figure 45 to Figure 50 are similar,
but HBF 3 is selected. Note the flatter pass-band response when
HBF 3 is employed.
As with HBFs, consideration must be given to the frequency-
dependent attenuation that the CIC filter introduces over the
frequency range of the data to be transmitted. Note that the
CIC frequency response figures have fNYQ as their reference
frequency; i.e., unity (1) on the frequency scale corresponds
to fNYQ. If the incoming data that is applied to the AD9856 is
oversampled by a factor of 2 (as required), then the Nyquist
bandwidth of the applied data is one-half fNYQ on the CIC
frequency response figures. A look at the 0.5 point on the pass-
band detail figures reveals a worst-case attenuation of about
0.25 dB (HBF 3 bypassed, R = 63). This, of course, assumes
pulse-shaped data with α = 0 (minimum bandwidth scenario).
When a value of α = 1 is used, the bandwidth of the data
corresponds to fNYQ (the point1.0 on the CIC frequency scale).
Thus, the worst-case attenuation for α = 1 is about 0.9 dB.



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