參數(shù)資料
型號(hào): PPC5606BCLU48
廠商: Freescale Semiconductor
文件頁(yè)數(shù): 89/112頁(yè)
文件大?。?/td> 0K
描述: MCU 32BIT 1M 48MHZ
標(biāo)準(zhǔn)包裝: 40
系列: MPC56xx Qorivva
核心處理器: e200z0h
芯體尺寸: 32-位
速度: 48MHz
連通性: CAN,I²C,LIN,SCI,SPI
外圍設(shè)備: POR,PWM,WDT
輸入/輸出數(shù): 149
程序存儲(chǔ)器容量: 1MB(1M x 8)
程序存儲(chǔ)器類型: 閃存
EEPROM 大?。?/td> 4K x 16
RAM 容量: 80K x 8
電壓 - 電源 (Vcc/Vdd): 3 V ~ 3.6 V
數(shù)據(jù)轉(zhuǎn)換器: A/D 29x10b,5x12b
振蕩器型: 內(nèi)部
工作溫度: -40°C ~ 85°C
封裝/外殼: 176-LQFP
包裝: 托盤
MPC5607B Microcontroller Data Sheet, Rev. 7
Electrical characteristics
Freescale Semiconductor
78
Figure 20. Spectral representation of input signal
Calling f0 the bandwidth of the source signal (and as a consequence the cut-off frequency of the antialiasing filter, fF), according
to the Nyquist theorem the conversion rate fC must be at least 2f0; it means that the constant time of the filter is greater than or
at least equal to twice the conversion period (tc). Again the conversion period tc is longer than the sampling time ts, which is
just a portion of it, even when fixed channel continuous conversion mode is selected (fastest conversion rate at a specific
channel): in conclusion it is evident that the time constant of the filter RFCF is definitively much higher than the sampling time
ts, so the charge level on CS cannot be modified by the analog signal source during the time in which the sampling switch is
closed.
The considerations above lead to impose new constraints on the external circuit, to reduce the accuracy error due to the voltage
drop on CS; from the two charge balance equations above, it is simple to derive Equation 12 between the ideal and real sampled
voltage on CS:
Eqn. 12
From this formula, in the worst case (when VA is maximum, that is for instance 5 V), assuming to accept a maximum error of
half a count, a constraint is evident on CF value:
ADC_0 (10-bit)
Eqn. 13
ADC_1 (12-bit)
Eqn. 14
f0
f
Analog source bandwidth (VA)
f0
f
Sampled signal spectrum (fC = Conversion rate)
fC
f
Anti-aliasing filter (fF = RC filter pole)
fF
2 f0 < fC (Nyquist)
fF = f0 (Anti-aliasing filtering condition)
tc < 2 RFCF (Conversion rate vs. filter pole)
Noise
V
A2
V
A
------------
C
P1
C
P2
+C
F
+
C
P1
C
P2
+C
F
C
S
++
--------------------------------------------------------
=
C
F
2048 C
S
C
F
8192
C
S
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