The WFD22 is a 22 bit Waveform Digitizer for medium-speed / high resolution waveform capturing and analyzing. It combines superior dynamic performance with a very high DC accuracy.
The module features fully differential inputs to reduce common-mode level disturbances. It can also be used in Single Ended mode where an internal DC-offset source sets the midscale level. In this mode the negative input can be used as a GND Sense input, so the DC performance won’t be compromised due to ground currents. The user can select between a 100 MΩ low bias current input for highest absolute accuracy, or a 1 MΩ ultra-low noise input for highest dynamic performance. There are 10 input ranges from 0.425 Vpp to 10.2 Vpp, which allows easy adaptation to a wide range of Device Under Test output voltages. A filter-bank with 3 Low Pass filters (40 kHz, 250 kHz and 500 kHz) provides excellent signal conditioning resulting in lower noise and proper anti-aliasing.
Our proprietary technology combines four 20 bit ADCs to create an advanced 22 bit converter. This results in excellent SNR and linearity with a resolution down to 0.1 µV. The large capture memory of 32M-word (96 MB) allows capturing long waveforms. This can be very useful when a high number of averages is required. All these features together result in the highest accuracy available when performing analog measurements. DAC linearity and dynamic performance measurements are a breeze with the WFD22 in the ATX7006 system. Also applications like: Power meter testing, MRI amplifier test, Quantum effect research, etc. will benefit from the outstanding analog performance of the WFD22.
Key Features
• 1 MHz sample rate with 22 bit resolution
• Fully differential input with 10 ranges
• 100 MΩ low I-bias, 1 MΩ Ultra-low noise input
• 1.5 ppm typical linearity
• ±(25 µV + 10 ppm of range) absolute accuracy
• Selectable filters to reduce out-of-band noise
• -122 dB THD typical (f-in = 1 kHz)
• 105 dB SNR typical (DC- 500 kHz)
• Programmable DC-offset voltage
• For ATX series hardware platform
