Features
- Differential Input (Span = 2VREF)
- Simple SPI-compatible Serial Digital Interface
- Guaranteed No Missing Codes
- 555kHz Sampling Rate
- 3V or 5V Operation
- Low Operating Current
- 1.25mA at 555kSPS with 3V Supplies
- 1.70mA at 555kSPS with 5V Supplies
- Power-down Current between Conversions: 1µA
- Excellent Differential Non-Linearity
- Low THD: -83dB (typ)
- Pb-Free (RoHS Compliant)
- Available in SOT-23 Package
Description
The ISL267452 is a 12-bit, 555kSPS sampling SAR-type ADC featuring excellent linearity over supply and temperature variations, and is drop-in compatible with the AD7452. The robust, fully-differential input offers high impedance to minimize errors due to leakage currents, and the specified measurement accuracy is maintained with input signals up to the supply rails. The reference accepts inputs from 0. 1V to 2. 2V for 3V operation and 0. 1V to 3. 5V for 5V operation, which provides design flexibility in a wide variety of applications. The ISL267452 also features up to 8kV Human Body Model ESD survivability. The serial digital interface is SPI compatible and is easily interfaced to all popular FPGAs and microcontrollers. Power dissipation is 7mW at a sampling rate of 555kSPS, and just 5µW between conversions utilizing Auto Power-Down mode (with a 5V supply), making the ISL267452 an excellent solution for remote industrial sensors and battery-powered instruments. The ISL267452 is available in an 8 LD SOT-23 package, and is specified for operation over the Industrial temperature range (-40°C to +85°C).
Applications
- Remote Data Acquisition
- Battery Operated Systems
- Industrial Process Control
- Energy Measurement
- Data Acquisition Systems
- Pressure Sensors
- Flow Controllers
| Part Number | Status | Samples | Stock | RoHS | Package | Lead Count (#) | Carrier Type | Pb (Lead) Free | Temp. Range (°C) |
|---|---|---|---|---|---|---|---|---|---|
| ISL267452IHZ-T | Obsolete | N/A | Out of Stock | RoHS:EN | SOT23 | 8# | Reel | No | -40 to +85°C |
| ISL267452IHZ-T7A | Obsolete | N/A | Out of Stock | RoHS:EN | SOT23 | 8# | Reel | No | -40 to +85°C |
Filters
Applied Filters
- Application NotePDF 843 KB an535 Jun 05, 2002AI-generated Summary: A Data Acquisition System (DAS) requires careful design of signal conditioning, transducer selection, and signal transmission to ensure high accuracy. Signal conditioning includes multiplexing, amplification, filtering, and calibration, ideally performed near the transducer. Transducers convert physical variables to electrical signals, often voltage, with low source resistance preferred. Signal paths can be single-ended or differential; differential paths better reject common mode noise, especially for low-level signals. Shielded twisted pairs and balanced lines reduce interference. Filters, typically Butterworth low-pass, prevent aliasing and maintain signal integrity.
- Application NotePDF 503 KB an9675 Aug 13, 1999AI-generated Summary: Effective Number of Bits (ENOB) depends critically on precise coherence in A/D sampling, with small frequency shifts significantly impacting accuracy. Unwrapping reconstructs coherently sampled sine waves, while windowing controls spectral leakage by shaping the acquisition window. Resampling and interpolation adjust sample sets to avoid leakage in FFT analysis. Different window functions balance side lobe levels and bandwidth, affecting spectral resolution and leakage reduction.
- Application NotePDF 1.08 MB an002 Nov 19, 1998AI-generated Summary: Data acquisition and conversion involve quantization, where the smallest resolvable analog difference (quantum) depends on the full scale range and resolution. Quantization introduces an irreducible error called quantizing error or noise. Aperture time, the conversion time uncertainty, causes amplitude errors when signals change during conversion. Sample-hold circuits reduce aperture time by storing sampled signals. The Sampling Theorem states that sampling frequency must be at least twice the highest signal frequency to avoid distortion from frequency folding or aliasing. Natural binary code is commonly used for digital representation in converters, with the most and least significant bits defining the code's resolution and value.
- Application NotePDF 287 KB an9705 Feb 21, 1997AI-generated Summary: Coherent sampling requires the ratio of signal frequency to sampling frequency to be a rational number, expressed as ko/N. When this condition is not met, frequency smearing occurs across bins. Data Acquisition Systems (DAS) can mitigate this by windowing, fixing sampling frequency and tuning input frequency, or fixing input frequency and tuning sampling frequency. The latter two methods are practical for most systems. Pseudo-code illustrates the frequency response for non-integer ko values.
Recommended Documents (1)
Datasheets (1)
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- Application NotePDF 843 KB an535 Jun 05, 2002AI-generated Summary: A Data Acquisition System (DAS) requires careful design of signal conditioning, transducer selection, and signal transmission to ensure high accuracy. Signal conditioning includes multiplexing, amplification, filtering, and calibration, ideally performed near the transducer. Transducers convert physical variables to electrical signals, often voltage, with low source resistance preferred. Signal paths can be single-ended or differential; differential paths better reject common mode noise, especially for low-level signals. Shielded twisted pairs and balanced lines reduce interference. Filters, typically Butterworth low-pass, prevent aliasing and maintain signal integrity.
- Application NotePDF 503 KB an9675 Aug 13, 1999AI-generated Summary: Effective Number of Bits (ENOB) depends critically on precise coherence in A/D sampling, with small frequency shifts significantly impacting accuracy. Unwrapping reconstructs coherently sampled sine waves, while windowing controls spectral leakage by shaping the acquisition window. Resampling and interpolation adjust sample sets to avoid leakage in FFT analysis. Different window functions balance side lobe levels and bandwidth, affecting spectral resolution and leakage reduction.
- Application NotePDF 1.08 MB an002 Nov 19, 1998AI-generated Summary: Data acquisition and conversion involve quantization, where the smallest resolvable analog difference (quantum) depends on the full scale range and resolution. Quantization introduces an irreducible error called quantizing error or noise. Aperture time, the conversion time uncertainty, causes amplitude errors when signals change during conversion. Sample-hold circuits reduce aperture time by storing sampled signals. The Sampling Theorem states that sampling frequency must be at least twice the highest signal frequency to avoid distortion from frequency folding or aliasing. Natural binary code is commonly used for digital representation in converters, with the most and least significant bits defining the code's resolution and value.
- Application NotePDF 287 KB an9705 Feb 21, 1997AI-generated Summary: Coherent sampling requires the ratio of signal frequency to sampling frequency to be a rational number, expressed as ko/N. When this condition is not met, frequency smearing occurs across bins. Data Acquisition Systems (DAS) can mitigate this by windowing, fixing sampling frequency and tuning input frequency, or fixing input frequency and tuning sampling frequency. The latter two methods are practical for most systems. Pseudo-code illustrates the frequency response for non-integer ko values.
Application Notes & White Papers (4)
Product Notices (PCN, EOL, etc) (2)
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