IEEE Solid-State Circuits Magazine - Summer 2015 - 39
VIN
16
VA
20
VB
1-b
Encoder
14
FF
24
VC
1-b
Encoder
DC
DB
DA
10
1-b
Encoder
18
14
FF
FF
28
VD
1-b
Encoder
DD
22
18
14
FF
FF
FF
32
VE
1-b
Encoder
DE
26
22
18
14
FF
FF
FF
FF
36
VF
1-b
Encoder
DF
30
26
22
18
14
FF
FF
FF
FF
FF
40
VG
1-b
Encoder
DG
34
30
26
22
18
14
FF
FF
FF
FF
44
VH
1-b
Encoder
DH
38
34
30
26
FF
FF
FF
FF
FF
FF
22
FF
FF
18
14
FF
DI
42
38
34
30
26
22
18
14
FF
FF
FF
FF
FF
FF
FF
FF
48
VI
1-b
Encoder
DJ
46
42
38
34
30
26
22
18
14
FF
FF
FF
FF
FF
FF
Digital Output Data
12
1-b
Encoder
FF
FF
FF
Figure 1: A patent showing a 1-bit/stage pipelined ADC.
details can be found elsewhere in
this issue [6].
Quantization by Binary Search
Analog-to-digital conversion comprises two fundamental functions,
namely, sampling and quantization.
The latter can be viewed as an operation wherein an "analog estimate" is
identified and the digital equivalent
of this estimate is created. In a flash
ADC, for example, the reference ladder generates the analog estimates,
and the comparators identify one as
the closest lower value, producing
its digital value at the output.
In their basic form, both pipelined and SAR ADCs use binary
search to compute analog estimates
that successively converge toward
the input voltage. Suppose, as shown
in Figure 3(a), that an ADC having an
input range of 0 to VREF senses an
input Vin . Binary search begins by
nominating VREF /2 as the best analog
estimate. Next, since Vin 2 VREF /2,
the search identifies 3VREF /4 as a
better approximation, etc. That is,
in each cycle the ADC compares Vin
with the most recent analog estimate
and directs the search according to
the polarity of their difference. We
call this difference the "residue"
and denote it by Vin - aVREF, where
a = 1/2, 3/4, 5/8 etc., in the above
example. The goal of binary search
is to reduce the residue to less than 1
least significant bit (LSB). Figure 3(b)
illustrates how the decision result in
one cycle leads to comparison with
the proper analog estimate in the
next cycle.
Pipelined ADCs
Basic Operation
To arrive at the basic pipelined architecture, we first note that the binary
search begins with a residue of
Vin - VREF /2, which has the same polarity as 2 (Vin - VREF /2) = 2Vin - VREF .
We can thus form 2Vin - VREF as the
residue and benefit from the 2 #
amplification that it provides before
going to the next binary search cycle.
This method is attractive if the function f (Vin, VREF) = 2Vin - VREF can be
realized efficiently and compactly.
Shown in Figure 4 [8] is a popular
implementation known as the "multiplying DAC" (MDAC) stage. In the sampling (acquisition) mode, C 1 and C 2
(= C 1) track Vin while node X is kept
at zero by the unity-gain amplifier. In
the amplification mode, C 1 is "flipped"
around the operational amplifier (opamp), and the left plate of C 2 jumps
to VREF . The output voltage thus settles to 2Vin - VREF if the op-amp gain
is high and the mismatch between C 1
and C 2 small.
We now ponder operation in the
next cycle. If the residue, 2Vin - VREF,
is subjected to a subsequent MDAC
stage, we have a new residue equal to
f (2Vin -VREF, VREF) =2 (2Vin -VREF) -VREF
= 4V in - 3VREF, whose polarity allows
comparison of Vin with 3VREF /4. But,
according to Figure 3(b), this comparison is meaningful only if Vin 2 VREF /2;
in the case of Vin 1 VREF /2, we must
compare with Vin /4. This observation points to the need for a residue equal to 4Vin - VREF if Vin 1 VREF .
However, this value cannot be obtained recursively from the function
f (Vin, VREF) = 2Vin - VREF .
IEEE SOLID-STATE CIRCUITS MAGAZINE
su m m E r 2 0 15
39
Table of Contents for the Digital Edition of IEEE Solid-State Circuits Magazine - Summer 2015
IEEE Solid-State Circuits Magazine - Summer 2015 - Cover1
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