The BlackAdADC/DAQ Board is FPGA based ADC board which can be configured to connect Raspberry pi or any MCUs.
The board provides 8 channels AFE utilizing Analog Device AD9273 chip which can be configured up-to 50MHz sampling frequency, accepting a differential input signal of ±500 mV (±733 mV full scale).
The AD9273 is offered in a 100-lead TQFP and has an operating temperature range of −40°C to +85°C. AD9273 chip is directly connected to Altera Cyclone III FPGA, so that all the channels can be sampled and data capturing can be done simultaneously.
The data so captured is expended 16-bit word and stored in internal FPGA DPRAM.
Thus the data can be read/wrote to file in Raspberry board via SPI.
Powered with 5V DC supply makes it very low power consumption board.
Eight channel 12-bit 50MPS
Based on AD9273 connected FPGA in LVDS
8 channels of LNA, VGA, AAF and ADC
SPI-programmable gain : 15.6/17.9/21.3 dB
Variable Linear gain control
• Attenuator range : -42 dB ~ 0 d
• PGA gain : 21/24/27/30d
Single-ended input signal
• Gain 15.6dB: 733 mVpp
-17.8dB: 550mVpp
-21.3dB: 367mVpp
Single ended AC or DC coupled analog input
Optional analog differential inputs
On board Cyclone III EP3CE5 FPGA device
Coaxial front panel inputs for SMA
Two sets of 12-pin expansion port
Compatible to Raspberry Pi.
Variable ADC sampling clock - optional
• 10 MHz ~ 50 MHz
User connectivity by SPI port
JTAG and AS port available for FPGA programming.
Noise shielding case – optional
No extra cooling required
SONAR system
RADAR system
Medical equipment prototyping
Wireless communication receivers
High sampling test and measurement systems
User Guide
Reference Firmware design (VHDL)
Reference Altera Project for Cyclone series
Email support
8-ch ADC board
5V DC adaptor
Altera Byte Blaster
Software CD:
• FPGA programmable file
• Software for data capturing on Raspberry pi
• Drivers
• Manual & Getting started: Tutorial
8 ultrasound can be connected suitable LNA/VGA/AAF and ADC.
All sensor data can be captured in separate internal DPRAM.
Using SPI, receiving signal gain can be controlled by LNA/VGA register update.
Using SPI, data can be received and stored on Raspberry pi.
Embedded board can be connected by expansion GPIO for embedded platform.
The board can be connected with combination of analog multiplexer and switching circuit for prototyping complete ultrasound system
8 Sensors with same sampling frequency can be connected synchronously
The captured signal can be post processed on FPGA/Raspberry pi/Embedded board
With on board FPGA and PLL, ADC sampling frequency can be modified easily.