參數(shù)資料
型號(hào): AD1896AYRSZRL
廠商: Analog Devices Inc
文件頁數(shù): 10/28頁
文件大?。?/td> 0K
描述: IC SAMP-RATEHP/CONV 24BIT 28SSOP
標(biāo)準(zhǔn)包裝: 1,500
類型: 采樣率轉(zhuǎn)換器
應(yīng)用: 車載音頻,處理,接收器
安裝類型: 表面貼裝
封裝/外殼: 28-SSOP(0.209",5.30mm 寬)
供應(yīng)商設(shè)備封裝: 28-SSOP
包裝: 帶卷 (TR)
REV. A
AD1896
–18–
ASRC FUNCTIONAL OVERVIEW
THEORY OF OPERATION
Asynchronous sample rate conversion is converting data from
one clock source at some sample rate to another clock source at
the same or a different sample rate. The simplest approach to an
asynchronous sample rate conversion is the use of a zero-order
hold between the two samplers shown in Figure 4. In an asyn-
chronous system, T2 is never equal to T1 nor is the ratio between
T2 and T1 rational. As a result, samples at fS_OUT will be repeated
or dropped producing an error in the resampling process. The
frequency domain shows the wide side lobes that result from
this error when the sampling of fS_OUT is convolved with the
attenuated images from the sin(x)/x nature of the zero-order
hold. The images at fS_IN, dc signal images, of the zero-order
hold are infinitely attenuated. Since the ratio of T2 to T1 is an
irrational number, the error resulting from the resampling at
fS_OUT can never be eliminated. However, the error can be sig-
nificantly reduced through interpolation of the input data at
fS_IN. The AD1896 is conceptually interpolated by a factor of 2
20.
ZERO-ORDER
HOLD
IN
OUT
fS_IN = 1/T1
fS_OUT = 1/T2
ORIGINAL SIGNAL
SAMPLED AT fS_IN
SIN(X)/X OF ZERO-ORDER HOLD
SPECTRUM OF ZERO-ORDER HOLD OUTPUT
SPECTRUM OF fS_OUT SAMPLING
fS_OUT
2
fS_OUT
FREQUENCY RESPONSE OF fS_OUT CONVOLVED WITH ZERO-ORDER
HOLD SPECTRUM
Figure 4. Zero-Order Hold Being Used by fS_OUT to
Resample Data from fS_IN
THE CONCEPTUAL HIGH INTERPOLATION MODEL
Interpolation of the input data by a factor of 2
20 involves placing
(2
20 – 1) samples between each f
S_IN sample. Figure 5 shows
both the time domain and the frequency domain of interpolation
by a factor of 2
20. Conceptually, interpolation by 220 would
involve the steps of zero-stuffing (2
20 – 1) number of samples
between each fS_IN sample and convolving this interpolated
signal with a digital low-pass filter to suppress the images. In the
time domain, it can be seen that fS_OUT selects the closest fS_IN
220
sample from the zero-order hold as opposed to the nearest fS_IN
sample in the case of no interpolation. This significantly reduces
the resampling error.
IN
OUT
fS_IN
fS_OUT
TIME DOMAIN OF fS_IN SAMPLES
TIME DOMAIN OUTPUT OF THE LOW-PASS FILTER
TIME DOMAIN OF fS_OUT RESAMPLING
TIME DOMAIN OF THE ZERO-ORDER HOLD OUTPUT
INTERPOLATE
BY N
LOW-PASS
FILTER
ZERO-ORDER
HOLD
Figure 5. Time Domain of the Interpolation and
Resampling
In the frequency domain shown in Figure 6, the interpolation
expands the frequency axis of the zero-order hold. The images
from the interpolation can be sufficiently attenuated by a good
low-pass filter. The images from the zero-order hold are now
pushed by a factor of 2
20 closer to the infinite attenuation point
of the zero-order hold, which is fS_IN
220. The images at the
zero-order hold are the determining factor for the fidelity of the
output at fS_OUT. The worst-case images can be computed from
the zero-order hold frequency response, maximum image =
sin (
p F/fS_INTERP)/(p F/fS_INTERP). F is the frequency of the
worst-case image that would be 2
20
fS_IN ± fS_IN/2 , and
fS_INTERP is fS_IN
220.
The following worst-case images would appear for fS_IN =
192 kHz:
Image at fS_INTERP – 96 kHz = –125.1 dB
Image at fS_INTERP + 96 kHz = –125.1 dB
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